IPv6 and IoT News Archives - IPv6.net

ESP32-C6 development board features 1.8-inch AMOLED touch display, built-in mic and speaker, IMU, RTC, and more

news-aggregator — Sat, 27 Dec 2025 05:07:04 +0000

Waveshare ESP32-C6-Touch-AMOLED-1.8 is an ESP32-C6-based touch display development board featuring a 1.8-inch capacitive AMOLED display, a 6-axis IMU, RTC, audio codec, microSD card slot, USB-C for power and programming, power/boot buttons, and various I/Os including I²C, UART, USB, and GPIO pads. Compared to boards like Waveshare ESP32-S3-LCD-1.28, ESP32-S3-Touch-LCD-1.69 (based on ESP32-S3), and ESP32-P4-WIFI6-Touch-LCD-3.4C/4C (based on ESP32-P4), this board is based on the ESP32-C6 wireless SoC with 2.4 GHz Wi-Fi 6, Bluetooth 5 LE, Zigbee, and Thread connectivity. It also includes a 16 MB external flash and a 368 × 448 AMOLED display with 16.7 million colors and capacitive touch support. Power is managed by an AXP2101 PMIC for Li-ion battery support and charging. Typical applications include smart home control panels, wearable and handheld IoT devices, voice-enabled assistants, data loggers, portable dashboards, and HMI-focused embedded prototypes. Waveshare ESP32-C6-Touch-AMOLED-1.8 specifications: SoC – Espressif Systems ESP32-C6 CPU Single-core 32-bit RISC-V clocked up to 160 MHz […]

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A super-sized set of digital calipers for giants

news-aggregator — Fri, 26 Dec 2025 14:07:06 +0000

Every year, some of YouTube’s most prolific makers get together to coordinate a Secret Santa exchange among themselves, then post videos of the results. The only rule is that they have to create the gifts. This year, Matty Benedetto (Unnecessary Inventions) got Austin Bradley in the exchange. For Bradley’s present, Benedetto constructed this set of digital calipers suitable for giants.

These calipers may be huge, but they do the same thing as the digital calipers you have in your desk drawer. Squeeze something between the jaws and the digital readout will display their linear measurement. But it only measures in inches and it only displays measurements between 0 and 99 inches, to the nearest inch.

Benedetto 3D printed the calipers, then added some laser-cut acrylic panels to diffuse the display LEDs and provide a surface for the printed markings to stick to. An Arduino UNO R4 WiFi board measures the distance between the jaws using a time-of-flight (ToF) sensor, then shows the result on two oversized seven-segment displays.

These may not fit in Bradley’s desk drawer, but they’re certainly more capable than any other calipers he owns when it comes to measuring very big things.

The post A super-sized set of digital calipers for giants appeared first on Arduino Blog.

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M5Stack NanoH2 – An ultra-compact ESP32-H2 IoT development kit with Zigbee, Thread, and Matter connectivity

news-aggregator — Fri, 26 Dec 2025 11:37:04 +0000

M5Stack NanoH2 is an ultra-compact, standalone IoT development kit powered by an Espressif Systems’ ESP32-H2 wireless SoC with support for Zigbee, Thread, and Matter, and designed for smart home and low-power wireless applications. It also features a built-in LED, an RGB LED, an infrared transmitter, a Grove port for expansion, a user button, and a USB-C port for power and programming. On the surface, it looks very similar to the Unit Gateway H2 introduced last March, with an ESP32-H2 SoC and a Grove connector. But while the earlier model is designed as an add-on board to other M5Stack products, the NanoH2 is a standalone development kit that you can use directly without another board from M5Stack. M5Stack NanoH2 specifications: SoC – Espressif Systems ESP32-H2FH4S CPU – 32-bit RISC-V SoC clocked at up to 96 MHz Memory – 320 KB SRAM, 4 KB LP memory Storage – 128 KB ROM, 4MB […]

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Open Innovator Releases ‘The Global Robotic and AI Builders Who Defined 2025’ List Featuring Jim Fan, Demis Hassabis, Dinis Guarda, and Other 30 AI Visionaries

news-aggregator — Fri, 26 Dec 2025 05:07:05 +0000

‘The Global Robotic and AI Builders Who Defined 2025’ list by Open Innovator highlights individuals shaping the robotics and AI landscape through research, practical applications, education, and entrepreneurial efforts.

AI and robotics innovation reached historic breakthroughs in 2025, driven by massive global investments, autonomous AI agents, advanced multimodal models, and robotics transforming industries.

Funding has focused on enterprise-ready applications and specialised robotics, with AI attracting over 50% of global venture capital. Robotics development benefits from AI advancements in autonomy and solutions tailored to specific industries.

The Global Robotic and AI Builders Who Defined 2025 recognises individuals who are shaping progress across deep-tech, autonomous systems, humanoids, and applied AI, highlighting leaders driving innovation worldwide.

‘The Global Robotic and AI Builders Who Defined 2025’

Research & Deep-Tech

Demis Hassabis

Demis Hassabis is a leading researcher and entrepreneur in artificial intelligence, known for combining science, engineering, and long-term research thinking. He is the Co-Founder and Chief Executive Officer of Google DeepMind, a role he has held since 2010. Under his leadership, DeepMind has delivered major advances in artificial intelligence, including breakthroughs in reinforcement learning, neuroscience-inspired AI, and scientific discovery.

In 2021, he also became the Founder and CEO of Isomorphic Labs, where he focuses on using AI to accelerate drug discovery and improve human health.

Before these roles, Hassabis worked as a Research Fellow at the Gatsby Computational Neuroscience Unit at University College London, where he connected neuroscience research with machine learning.

He contributed to the AI and design of well-known games including Theme Park, Black & White, and Republic: The Revolution.

Wiki: https://businessabc.net/wiki/demis-hassabis

Marc Raibert

Marc Raibert is known for his long-term work in dynamic and legged robotic systems. He is the Executive Director of the RAI Institute in Cambridge, Massachusetts, focussing on advancing robotics and artificial intelligence research for real-world use.

Raibert is also the founder of Boston Dynamics, well-known for their robots such as BigDog, Atlas, and Spot – that changed how robots move and operate in complex environments.

Marc was also a Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology and an Associate Professor at Carnegie Mellon University’s Robotics Institute.

He was also a Member of Technical Staff at NASA’s Jet Propulsion Laboratory.

He holds a PhD from MIT and a Bachelor’s degree in Electrical Engineering from Northeastern University.

Wiki– https://businessabc.net/wiki/marc-raibert

Greta R. Spivey

Greta R. Spivey is a deep-tech ecosystem builder who works at the intersection of government, venture capital, and emerging technologies. She is based in San Francisco and currently serves as an Advisor at Deep Tech Connections, where she provides guidance on government relations.

Greta is also a Community Lead at the Defense Entrepreneurs Forum, managing a global defence innovation community of more than 10,000 members and building strategic partnerships.

She is an Angel Squad Member at Hustle Fund, supporting early-stage investments, and has advised organisations such as OPFOR.

Previously, Greta spent nearly four years at FedTech, where she played a key role in national security innovation programmes for the US Department of Defense. She directed studio and accelerator programmes supporting more than 50 dual-use startups, built partnerships with over 15 venture funds and universities, and led the Army SBIR TABA programme helping over 20 startups secure contracts.

She also managed budgets of up to $1.7 million and helped launch new accelerators, including the Quantum Startup Foundry.

Wiki– https://businessabc.net/wiki/greta-r-spivey

Raffaello D’Andrea

Raffaello D’Andrea is a professor at ETH Zurich, founder of Verity, and a leading figure in robotics, automation, and AI-driven systems. He leads a hands-on research programme at ETH Zurich focused on robotics, control, and automation, where his team has developed widely recognised experimental platforms including Cubli, the Balancing Cube, the Distributed Flight Array, the Blind Juggler, the Flying Machine Arena, and CyberRunner.

He previously served on the faculty at Cornell University, where he co-founded the Systems Engineering programme and led the Cornell Robot Soccer Team to four RoboCup world championships.

In industry, he co-founded Kiva Systems, which transformed warehouse automation through robotic order fulfilment and was acquired by Amazon in 2012, becoming Amazon Robotics. He later co-founded ROBO Global, the world’s first robotics and AI exchange-traded fund, acquired in 2023.

He is also the co-founder and CEO of Verity, delivering AI-powered, drone-enabled inventory systems deployed in over 100 warehouses worldwide. His work spans engineering, robotics, autonomous systems, and large-scale robotic art installations, and he holds over 100 patents globally.

Wiki– https://businessabc.net/wiki/raffaello-d-andrea

Nare Janvelyan, PhD

Nare Janvelyan, PhD, is a deep-tech investor at Voyager Ventures, where she focuses on backing early-stage companies working at the intersection of advanced science, engineering, and commercial impact. She joined Voyager Ventures in 2024 and brings a strong background in both technical research and strategic consulting. Before moving into venture capital, she spent over four years at Simon-Kucher in the San Francisco Bay Area, progressing from Senior Consultant to Senior Manager, where she worked with technology and innovation-driven companies on growth strategy, pricing, and market entry.

Earlier in her career, Nare worked at Harvard University as an Associate and previously as a Research Assistant and Teaching Assistant, contributing to cross-disciplinary research in chemical physics and sustainable catalysis. Her academic work focused on linking material structure and surface chemistry to catalytic performance for sustainable chemical production. She holds a PhD in Chemical Physics from Harvard University and a Bachelor’s degree in Chemistry from the University of California, Berkeley. In addition, she mentors founders and investors in the climate and sustainability ecosystem through Entrepreneurs for Impact.

Wiki– https://businessabc.net/wiki/nare-janvelyan

Founders & CEOs

Oana Andreea Jinga

Oana Andreea Jinga is a technology and logistics leader working at the intersection of automation, robotics, and artificial intelligence. She is the Co-Founder and Chief Commercial and Product Officer at Dexory, where she leads product strategy, commercial growth, and partnerships. At Dexory, she is driving the use of autonomous robots and digital twin technology to deliver real-time visibility and continuous insights into warehouse and supply chain operations.

Before Dexory, she was a Co-Founder at BotsAndUs, where she worked on human-centric robotics solutions. She also spent over six years at Google, holding senior roles including Strategic Partnerships Manager for EMEA and Retail Partnerships Manager for the UK, where she led cross-sector partnerships and major product launches such as Google Pixel, Google Home, and Nest.

Earlier in her career, she held multiple commercial and business development roles at O2 (Telefónica UK). She is also an active speaker and contributor to the global robotics and automation ecosystem.

Wiki– https://businessabc.net/wiki/oana-andreea-jinga

Péter Fankhauser

Péter Fankhauser is the Co-Founder and Chief Executive Officer of ANYbotics, a Swiss robotics company focused on deploying AI-driven autonomous mobile robots in demanding industrial environments. He holds a PhD from ETH Zurich and has over 15 years of experience in robotics research, development, and commercial deployment. At ANYbotics, he has led the transition of advanced legged robotics from academic research into real-world industrial use, with a strong focus on safety, reliability, and scalability.

Under his leadership, ANYbotics has expanded internationally with offices in Zurich and San Francisco and has raised approximately $130 million from leading global and Silicon Valley investors.

Péter has also contributed extensively to robotics research, publishing peer-reviewed work on rough-terrain locomotion and probabilistic terrain mapping. In 2025, he was named a finalist for EY World Entrepreneur of the Year and received Switzerland Global Enterprise’s Export Award through ANYbotics.

Wiki– https://businessabc.net/wiki/peter-fankhauser

Dennis Stampfer

Dennis Stampfer is the CEO and Co-Founder of Toolify Robotics GmbH, where he leads the development of xito.one, a platform designed to simplify the creation and deployment of robotics applications. His work focuses on making automation practical and affordable, particularly for companies facing labour shortages and rising operational costs across Europe.

Through xito.one, he aims to lower technical barriers and enable faster adoption of robotics, even for smaller businesses and organisations with limited automation experience.

Before founding Toolify Robotics in 2020, Dennis worked in academic and applied robotics research. He was a Postdoctoral Researcher at the Research Centre for Service Robotics in Ulm and previously spent several years as a Scientific Researcher at the Service Robotics Research Group at Hochschule Ulm.

He holds a PhD in Computer Science from the Technical University of Munich, with research focused on system design processes for service robotics, and a Master’s degree in Information Systems from Technische Hochschule Ulm.

Wiki– https://businessabc.net/wiki/dennis-stampfer

BALA NAGA PRANAV

Bala Naga Pranav S is an emerging robotics and neuroscience-focused innovator working on applied projects that connect sensing, automation, and sustainability. His work centres on building practical technology solutions using robotics, embedded systems, and intelligent sensing.

He has led and contributed to multiple research and development projects, including a freshness estimation system for fruits and vegetables using MQ gas sensors, which was later published at an international IEEE conference. His projects combine algorithms, sensor integration, and real-world deployment.

He is also associated with Polymanure, a sustainability-focused project developed with Amrita Vishwa Vidyapeetham, which converts plastic waste into nutrient-rich manure using biological processes involving fungi. In addition to project work, he has published research on plant signal extraction, classification, and automated irrigation systems.

His contributions have been recognised with awards, including a Top 10 selection at an international IoT and machine learning symposium and a Special Jury Award at a national technology fair. He actively shares insights on robotics and neuroscience and continues to build hands-on systems across hardware and software domains.

Wiki– https://businessabc.net/wiki/bala-naga-pranav

Remi Cadene

Remi Cadene is a researcher, engineer, and technology founder working across artificial intelligence, deep learning, and robotics. He is the Co-Founder and Chief Executive Officer of UMA, a company focused on building advanced AI systems, a role he assumed in 2025.

Before this, he was a Principal Research Scientist at Hugging Face, where he worked on large-scale machine learning research and applied AI systems. He previously served as a Staff Scientist at Tesla, contributing to AI research and engineering efforts related to autonomous driving and real-world deployment.

Remi expertise spans artificial intelligence, autonomous systems, computer vision, and natural language processing. He has been recognised for excellence in data science through top rankings in international competitions supported by organisations such as Microsoft, Axa, and Capgemini.

Wiki– https://businessabc.net/wiki/remi-cadene

Humanoids

Hyeok “Dean” Song

Hyeok “Dean” Song is an emerging industrial and transportation designer working at the intersection of automotive, mobility, and humanoid robotics design. He is currently an Industrial Design Intern in Humanoid Design at Apptronik, contributing to the visual and functional design of next-generation humanoid robots. Alongside this, he has gained hands-on experience through creative and exterior design internships at General Motors and Nissan Motor Corporation, focusing on exterior design, visualisation, and advanced mobility concepts for production and future vehicles.

Previously, he worked full-time as a designer and researcher at KLIO DESIGN, where he contributed to OEM advanced design R&D, production car design, and autonomous mobility projects. His portfolio includes selected production and concept designs for electric scooters, passenger vehicles, and mobility platforms in collaboration with brands such as KIA, Mahindra, and Daedong. He has also worked on mobility concept, UI/UX, and scooter design projects in South Korea. He is currently completing a Bachelor of Science in Transportation Design at ArtCenter College of Design.

Jim Fan

Jim Fan is a leading researcher and technology leader in artificial intelligence, robotics, and embodied intelligence. He is currently Director of AI and Distinguished Research Scientist at NVIDIA, where he spearheads Project GR00T, focused on foundation models for general-purpose humanoid robotics, and co-leads the GEAR (Generalist Embodied Agent Research) Lab. His work centres on Physical AI, building systems that learn to act autonomously across simulated and real-world environments. Prior to this role, he served as Senior Manager and Principal Research Scientist at NVIDIA, where he co-founded the GEAR research team.

Jim Fan holds a PhD in Computer Science from Stanford University, advised by Professor Fei-Fei Li, with research spanning deep reinforcement learning, robotics, computer vision, and large-scale learning systems. He was OpenAI’s first-ever intern, co-developing the OpenAI Universe initiative and co-authoring early foundational work on web-based AI agents. He has also conducted research at Mila under Yoshua Bengio and Aaron Courville. He earned his bachelor’s degree from Columbia University, graduating as valedictorian.

Mike Zheng SHOU

Mike Zheng Shou is a leading researcher in multimodal AI, specialising in video understanding and generation across vision, language, and audio. He is currently an Assistant Professor at the National University of Singapore, where he leads the Show Lab, driving advanced research in large-scale video intelligence, multimodal learning, and generative AI systems. His work focuses on enabling machines to better perceive, reason, and create from complex video data, with strong impact across both academia and industry.

Previously, he worked as a Research Scientist at Facebook (Meta), contributing to cutting-edge video and multimodal AI research, and earlier as a Research Intern at Facebook and Microsoft. He holds a PhD in Electrical and Electronics Engineering from Columbia University, where he was advised by Professor Shih-Fu Chang and focused on video analysis. Mike Zheng Shou is a Fellow of Singapore’s National Research Foundation (NRF) and has been recognised in Forbes 30 Under 30 Asia for his contributions to artificial intelligence.

Baptiste Michaud

Baptiste Michaud is the co-founder and President of Humanoid, a leading French digital media group focused on mobile, technology, and digital culture. Since co-founding Humanoid in 2007, he has played a central role in building and scaling a multi-brand media ecosystem that includes Frandroid, Numerama, Madmoizelle, and Lemon. Under his leadership, these platforms have become reference voices in technology journalism, reaching millions of users through editorial, video, and social media formats.

He oversees Humanoid’s strategic vision, business development, and operations, with deep involvement in editorial direction, product innovation, SEO, audience analytics, and monetisation models such as programmatic advertising. Baptiste has led major acquisitions, partnerships, and integrations, strengthening Humanoid’s market position while keeping it agile and data-driven. Alongside this, he previously served as President of 191 Media, a joint advertising venture, and has a strong technical background shaped by earlier roles as CTO and research engineer in mobile and emerging technologies.

Ahmed Aboudonia

Ahmed Aboudonia is a robotics and control researcher specialising in the intersection of control theory, mathematical optimisation, and machine learning. He is currently a Postdoctoral Researcher at the University of Illinois Urbana-Champaign, where he develops adaptive, learning-enabled, and data-driven control approaches for robotic systems. His work focuses on building resilient autonomous systems, improving energy sustainability, and enhancing trust in complex societal and cyber-physical systems.

Previously, he spent over six years at ETH Zürich as a Scientific Assistant, leading and contributing to high-impact research projects in adaptive and data-driven control. His work has included control architectures for railway systems in collaboration with Swiss Federal Railways, and energy-efficient building control technologies with Empa, now deployed commercially and delivering up to 40% energy savings across Europe. Ahmed has also worked on humanoid locomotion, UAV control, and disturbance estimation across leading institutions in Europe and the Middle East, and has authored numerous peer-reviewed publications in control and robotics.

Autonomous Systems & Drones

Andrei Danescu

Andrei Danescu is the Founder and CEO of Dexory, an AI and robotics company building a real-time operating system for the physical world. Through a full-stack platform combining autonomous robotics, edge AI, digital twins, and machine-actionable data, Dexory delivers real-time visibility and autonomy for global supply chains. Under his leadership, the company (formerly BotsAndUs) is transforming warehouses into self-optimising systems where perception, decision-making, and execution happen continuously, enabling intelligent, agentic physical operations at industrial scale.

Before founding Dexory, Andrei held senior engineering roles across high-performance and autonomous systems. He worked as a Senior State Estimation and Control Engineer at Jaguar Land Rover on connected vehicles and perception systems, and as a Control Systems Trackside Engineer with the Sahara Force India Formula One Team, responsible for real-time data analysis and diagnostics.

Raquel Urtasun

Raquel Urtasun is the Founder and CEO of Waabi, an autonomous trucking company built on AI-first principles, where she is redefining self-driving technology through a simulation-led, end-to-end learning approach. Since founding Waabi in 2021, she has led the development of a next-generation autonomy stack focused on safety, scalability, and real-world deployment, positioning the company at the forefront of AI-native autonomous driving.

Alongside her entrepreneurial work, Raquel is a Full Professor at the University of Toronto, where she has held academic leadership roles for over a decade. Previously, she served as Chief Scientist and Head of R&D at Uber ATG, leading global research efforts in autonomous driving, and headed Uber ATG Toronto. Her career also includes faculty roles at Toyota Technological Institute at Chicago and postdoctoral research at UC Berkeley. With a PhD in Computer Science from EPFL, her work spans machine learning, computer vision, robotics, and large-scale autonomous systems, bridging cutting-edge research with industrial impact.

Ahti Heinla

Ahti Heinla is the Co-founder, CEO, and CTO of Starship Technologies, the global leader in autonomous last-mile delivery robotics. Under his technical and strategic leadership, Starship has deployed thousands of autonomous delivery robots operating at city scale across Europe and the United States, completing millions of real-world deliveries and proving that autonomous robotics can function reliably in everyday urban environments.

Before Starship, Ahti was a key architect of modern internet infrastructure as Chief Technical Architect at Skype, where he helped build one of the world’s most scalable peer-to-peer communication platforms. Beyond commercial innovation, he is also the founder of Ambient Sound Investments and a driving force behind the “Let’s Do It World” civic movement, one of the largest global volunteer clean-up initiatives.

Brian S.

Brian S. is the Founder and CEO of Vermeer, a defence-focused technology company applying advanced computer vision to address complex national security and defence challenges. Since founding Vermeer in 2019, he has led the development of vision-driven systems at the intersection of AI, drones, and defence solutions, positioning the company as a specialist in high-stakes, real-world applications. He is also actively involved in the startup ecosystem, serving as a mentor at the NYU Tech Venture Accelerator and participating in the Air Force Ventures Technology Accelerator powered by Techstars.

Previously, Brian founded and led Aerobo, which he scaled into the world’s largest drone cinematography company. Under his leadership, Aerobo worked on major Hollywood productions, including Oscar-winning films, and played a pioneering role in shaping drone regulation, with Brian testifying before the US Congress and securing one of the first FAA Section 333 exemptions. His work has been recognised by Inc. Magazine’s 30 Under 30, highlighting his influence across drones, AI, and defence innovation.

Marko Bjelonic

Marko Bjelonic is the CEO and Co-Founder of RIVR, a Swiss robotics company advancing General Physical AI to transform last-mile delivery through autonomous, real-world capable robots. At RIVR (formerly Swiss-Mile), he leads the development of next-generation robotic systems that combine perception, learning, and hybrid locomotion, with the company backed by global investors including Jeff Bezos and institutional partners. His work focuses on deploying scalable, commercially viable robotics beyond controlled environments.

Alongside his entrepreneurial role, Marko has made foundational contributions to robotics research through ETH Zurich’s Robotic Systems Lab, NCCR Robotics, and NCCR Digital Fabrication. His work includes patented wheeled-legged robot technology, early application of neural networks on legged robots, and leading research on hybrid locomotion and real-time trajectory optimisation. He contributed to award-winning international robotics programmes, including a victorious team at the DARPA Robotics Challenge, and has published extensively in top IEEE robotics venues, bridging cutting-edge research with real-world autonomous systems deployment.

Rising Global Voices

Qianyi Deng

Qianyi Deng is a PhD candidate in Computer Science at the University of Oxford and Co-Founder of Piggy Robotics, a Y Combinator (F25) startup focused on building mass-producible humanoid robots powered by artificial muscles. At Piggy Robotics, she is helping develop low-cost, full-scale humanoids designed for everyday household tasks, combining proprietary hardware systems with advanced AI to dramatically reduce cost and time to production.

Alongside her startup work, Qianyi’s work spans 3D human pose estimation, transformer-based vision models, multilingual OCR, and large-scale data visualisation. She has contributed to research and engineering projects at the University of Oxford, Fudan University, Tencent, and the Chinese Academy of Social Sciences, delivering measurable real-world impact.

Diana Gajic

Diana Gajic is a Senior Executive Recruiter at SAP and a LinkedIn Top Voice, recognised for her work at the intersection of executive talent, organisational growth, and inclusive leadership. At SAP, she leads end-to-end executive recruiting across the EMEA and MEE regions, supporting senior leadership hiring for one of the world’s leading enterprise software and business AI companies. She also serves as a Local Inclusion Ambassador and has contributed directly to People & Culture initiatives at board level, including executive communications for SAP’s Chief People Officer.

With over 15 years of experience across global in-house and agency roles, Diana has held senior recruitment and leadership positions at Deutsche Telekom, EPLAN, FERCHAU Engineering, and ORBIT. Her work spans global talent acquisition strategy, change management, employer branding, and leadership hiring across technology, engineering, and corporate domains. A certified systemic coach and active DEI advocate, she is a regular voice in German media, HR events, and podcasts, shaping conversations around talent attraction, career development, and inclusive workplaces

Rokas Bendikas

Rokas Bendikas is the Co-Founder and CTO of Laelaps AI, where he is building next-generation autonomous robotics systems for security and defensive intelligence. His work focuses on creating reliable, adaptive, and cost-efficient AI-driven surveillance solutions for critical residential, commercial, and defence environments.

Alongside his entrepreneurial work, Rokas is a PhD candidate in Foundational AI at University College London (UCL), researching spatial intelligence through 3D world models. His academic work is supervised by leading experts including Prof. Danail Stoyanov (UCL), Prof. Dimitrios Kanoulas (UCL), and Prof. Hao Su (UC San Diego). His background spans embodied AI, robotics, reinforcement learning, and vision-language-action models, with industry research experience at Qualcomm and teaching experience as a Visiting Lecturer in AI and Machine Learning.

Recognised as a Forbes 30 Under 30 Europe (2025) honouree, Rokas represents a new generation of founders bridging deep foundational AI research with real-world robotic systems, pushing the boundaries of autonomous intelligence and applied security technologies.

Simon Philip Rost

Simon Philip Rost is the Chief Marketing & Strategy Officer at GE HealthCare, leading the Enterprise Imaging and AI portfolio, where he drives global marketing, commercial strategy, and AI-led digital health growth. With nearly two decades of experience across marketing, strategy, sales, and general management, he has played a pivotal role in shaping go-to-market strategies, commercial excellence frameworks, innovative product launches, and AI-enabled healthcare solutions across international markets.

Alongside his executive role, Simon holds influential positions across academia and industry. He serves as Chair of HIMSS Corporate Members Europe, Visiting Lecturer at the University of St. Gallen, Visiting Faculty at UCL Global Business School for Health, and Adjunct Faculty at IE Business School. A recognised LinkedIn Top Voice, he actively contributes to leadership development, AI adoption in healthcare, and the future of digital health ecosystems globally.

Corinna Welling, PhD

Corinna Welling, PhD, is Director of Applied Robotic Technology Development at Johnson & Johnson, where she leads the advancement of next-generation robotic, AI-driven, and medtech innovations with a strong patient-centric focus. With over 20 years of experience in the medical device and medical robotics industry, she operates at the intersection of engineering, clinical application, regulatory strategy, and corporate innovation, driving scalable healthcare technologies across APAC and EMEA. Her work includes applied robotic technology development, cross-functional programme leadership, and the translation of advanced robotics into real-world clinical solutions.

Recognised as one of the Top 25 Voices in Healthcare Robotics, Corinna is a prominent women leader in healthcare, public speaker, and mentor in the medtech and biotech ecosystem. She actively contributes to industry thought leadership while supporting talent development through mentoring and advocacy initiatives. Her portfolio includes peer-reviewed publications, patented robotic rehabilitation systems, and strategic roles shaping the future of medical robotics, AI, and accessible healthcare innovation globally.

Creators & Educators

Dinis Guarda

Dinis Guarda is a global thought leader, author, entrepreneur, and AI creator, recognised for his work across artificial intelligence, digital transformation, blockchain, fintech, smart cities, and future systems. He is the Founder and CEO of ztudium Group, an EU-based AI and technology research organisation, and the creator of globally recognised platforms including Citiesabc, Businessabc, Wisdomia, SportsDNA, IntelligentHQ, HedgeThink, TradersDNA, and AI.DNA. His work focuses on human-centric AGI, spatial AI, digital twins, robotics, digital identity, and immersive internet technologies, shaping next-generation business and societal models.

Ranked Top 1/10/50 global thought leader across multiple technology domains by Thinkers360 and named among Edelman’s Top 50 AI Creators, Dinis advises governments, Fortune 500 companies, global institutions, and universities, including the UN, UNESCO, UNITAR, WEF communities, ESA, Mastercard, and Barclays. He is also a leading digital media voice, reaching 100M+ people monthly through research, publishing, and his global podcast and video platforms.

Wiki: https://businessabc.net/wiki/dinis-guarda

Joseph M. Bradley

Joseph M. Bradley is a global applied futurist, technology executive, and author driving innovation at the intersection of AI, digital transformation, and enterprise strategy. He currently serves as CEO of JMB X, leading a cutting-edge technology ecosystem that empowers founders, creators, and enterprises to unlock human potential through AI. His work spans AI-driven ventures, digital twin marketplaces, immersive programs, and scalable solutions, with offices in Dubai, Chicago, Silicon Valley, and Singapore.

Previously, Joseph was CEO of Tonomus and Sector Head/President of Technology & Digital for NEOM, where he shaped the vision and delivery of the world’s first cognitive city and oversaw full-scale technology and digital infrastructure. With over 15 years at Cisco Systems in senior leadership, he led global initiatives in IoT, AI, blockchain, and incubation businesses. An advocate for disruptive technology, inclusion, and human-centric innovation, his work has been featured in the Wall Street Journal, Forbes, Fox News, and Financial Times.

Fatima Khan

Fatima Khan is a digital marketing strategist, content creator, and AI community builder with a strong focus on LinkedIn growth and creator empowerment. She is the Co-Founder of The AI Creators Club, a platform helping professionals leverage AI to expand their reach and engagement, and the Founder of LinkedIn Tea, a newsletter dedicated to social media strategies and insights.

Fatima collaborates as a Creator Partner with Stanley and Replit, providing guidance and resources to help creators scale their digital presence. Her previous experience includes Marketing Office Manager at VISUfarma UK, where she led digital marketing initiatives, strategy development, and social media management. She holds an MSc in Marketing Management (Distinction) from the University of Hull and a BBA from the Institute of Business Administration, and is certified in Google Analytics and Branding Foundations.

Sara Simeone

Sara Simeone is an award-winning entrepreneur, product strategist, and innovator specialising in AI, Web3, and no-code technology. With over 20 years of experience in digital strategy and execution, she has led initiatives at global agencies and brands including WPP, Dentsu, Vistaprint, and Oriflame.

Sara is the CEO and Co-Founder of NoCodeLab.ai, a platform that democratizes technology creation, enabling non-technical founders to build production-ready applications in weeks using AI-powered no-code development.

She is also CEO and Co-Founder of Niftyz.io, a pioneering Web3 platform for digital asset management and tokenization, backed by prominent investors such as Animoca Brands.

As a Board Member of the Centre of Digital Innovation at Manchester Metropolitan University and a lecturer in Blockchain for Business and Law at MedieInstitutet. Recognised among Top Women in Crypto, Top 100 Women in Tech UK, and Innovate Finance Top Senior Leaders.

Dr Philippa Hardman

Dr Philippa Hardman is a leading expert in AI-powered learning, education innovation, and human-centred pedagogy. She is the Founder of DOMS, a methodology and platform transforming how learning experiences are designed, and hosts the world’s most popular AI & Learning Design Bootcamp for educators.

As a specialist advisor, Philippa works with global organisations including OpenAI, KPMG, Novartis, BCG, Salesforce, and Haleon, helping them integrate AI and learning science to enhance education outcomes.

She is recognised with the ASU+GSV Woman in AI 2025 award and the Innofounder Denmark 2023-2024 prize, she is dedicated to leveraging AI and learning science to create impactful, next-generation educational experiences.

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Cerelog ESP-EEG – A low-cost ESP32-based EEG acquisition board for brain computer interface (BCI) experiments

news-aggregator — Fri, 26 Dec 2025 05:07:04 +0000

The Cerelog ESP-EEG is an 8-channel, low-cost brain computer interface (BCI) circuit board built around the ESP32 MCU and designed for EEG data acquisition. The board supports 8-channel, 24-bit EEG data collection and connects to a host system over USB-C for both power and data. The board has an active noise-removal bias pin which reduces mains interference, along with onboard status LEDs, including a dedicated indicator for active data capture. It works with third-party or DIY EEG headsets using adapter boards, and STL files are provided for 3D printed mounts. Cerelog also offers various software tools and sample code to enable real-time EEG visualization, BCI experiments, neurofeedback, and custom brain-controlled applications. Cerelog ESP-EEG specifications: Wireless Module – ESP32-WROOM-32 SoC – ESP32 CPU – Dual-core processor @ 160 MHz Memory – 520 KB SRAM Wireless WiFi 802.11 b/g/n, Bluetooth 4.2 Storage – 4 MB flash PCB antenna Analog Front-End (via TI’s […]

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Jetway B903DMTX Intel N97 fanless industrial box PC features 10 USB ports, four DB9 serial interfaces

news-aggregator — Fri, 26 Dec 2025 04:07:04 +0000

Jetway B903DMTX is a fanless industrial box PC built around the Intel N97 quad-core Alder Lake-N CPU and designed for industrial applications with up to ten USB Type-A ports, four DB9 serial ports, dual GbE, and support for M.2 wireless modules. It supports up to 32GB of DDR5-4800 SO-DIMM memory, SATA III and M.2 SSD storage, along with WiFi and Bluetooth through an M.2 E-Key slot. The system also features 4Kp60-capable HDMI and DisplayPort video outputs. The embedded box PC runs on a 12–19V DC input, supports AT/ATX power modes, and includes features such as a watchdog timer, Intel PTT (fTPM), and a wide -10°C to 60°C operating temperature. These features make it suitable for factory automation, kiosks, digital signage, industrial gateways, and edge computing systems. Jetway B903DMTX specifications: SoC – Intel Processor N97 quad-core Alder Lake N-series processor up to 3.6 GHz with 6MB cache, 24EU Intel UHD Graphics Gen 12 @ 1.2 […]

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Arduino speaks teletype to an old Lorenz 15

news-aggregator — Wed, 24 Dec 2025 20:07:04 +0000

Brian got his hands on an old Lorenz 15 teletype machine, which was made in the 1950s. He also managed to snag an appropriate teletype modem. But the modem couldn’t seem to understand recorded teletype messages, so Brian used an Arduino Mega 2560 to “speak” teletype and get the Lorenz 15 printing.

You can think of the Lorenz 15 with teletype modem as a bit like a vintage terminal with an acoustic coupler modem. The modem listens for an encoded sequences of tones via a telephone handset, then tells the electromechanical Lorenz 15 which keys to actuate. In theory, one can record the audio played through the handset and then play that recording into the modem. Sadly, that didn’t work for Brian and the modem just didn’t understand what it was hearing — probably because the recording wasn’t perfect.

Brian’s solution was to program the Arduino to play the proper tones with the proper timing to transmit teletype characters. The board plays that through a small speaker placed on the modem where the telephone handset would normally go.

He started with the basics and transmitted the “A” character a handful of times. After confirming that worked, he expanded the Arduino sketch to cover the whole character set. And finally, he created a function to translate ASCII character strings into corresponding teletype messages.

Now Brian can transmit any message he likes through the Arduino and the Lorenz 15 will dutifully print it out.

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10 New Analysis Shows Blockchain Still in Early Stages of Global Adoption

news-aggregator — Wed, 24 Dec 2025 11:07:05 +0000

Blockchain adoption continues to expand globally but remains in an early phase, according to new analysis by Lachezar Zanev of The Venture Network. In 2025, over 560 million people use blockchain, with markets, DeFi, tokenised assets, enterprise adoption, and regulatory frameworks growing steadily, signalling strong long-term potential across finance, infrastructure, and digital services.

Blockchain technology now operates across finance, commerce, digital identity, and computing. Although it attracts global attention and growing institutional interest, current data indicates that the technology remains in an early phase of adoption. Expansion is steady, but the underlying infrastructure, regulatory systems, enterprise frameworks, and user ecosystems are still developing in parallel.

This analysis is based on market insights and research compiled by Lachezar Zanev, Founder of The Venture Network, whose recent study examines the current stage of global blockchain adoption and its long-term economic implications.

Global User Adoption Shows Significant Headroom

Blockchain and cryptocurrency usage continues to rise but still represents a limited share of the world’s population. More than 560 million people use blockchain or crypto globally in 2025, accounting for approximately 11 percent of the global population. Market estimates project this figure may reach 861 million users by the end of 2025.

These numbers reflect strong growth while confirming that the majority of the world’s population has not yet engaged directly with blockchain technology, a key indicator of early-stage adoption.

Market Growth Outpaces Infrastructure Maturity

The blockchain market expands at a fast pace, though it has not yet reached maturity. Current estimates place the global blockchain market between $31 billion and $217 billion in 2025, depending on sector classification and reporting methods. Long-term forecasts project the market could exceed $790 billion by 2033.

This growth pattern mirrors the early development of the internet, where revenue increased rapidly before consumer adoption reached global scale.

Decentralised Finance Signals an Emerging Financial Layer

Decentralised finance (DeFi) now operates as a growing financial sector built on blockchain networks. In 2025, DeFi platforms manage more than $160 billion in total value locked. Monthly transaction volumes exceed $120 billion, serving over 50 million monthly users.

While these figures demonstrate strong participation, they still represent a small portion of the global financial system, leaving substantial capacity for future expansion.

Tokenised Assets Expand Commercial Use Cases

Real-world asset tokenisation shows early commercial traction across property, equities, and niche markets. Tokenised assets reach a combined market capitalisation of $5.1 trillion. Within this category:

Real estate tokenisation accounts for $830 billion
Equity tokens represent $1.1 trillion
On-chain tokenised stock trading reaches $88 million in volume in early December 2025

This growth reflects increasing institutional and retail participation in blockchain-based asset infrastructure.

Businesses Achieve Measurable Efficiency Gains

Enterprises adopting blockchain systems report tangible cost and performance benefits. Smart contracts now automate approximately 22 percent of asset servicing processes, reducing error rates by 72 percent. In selected financial services operations, blockchain integration lowers transaction costs by up to 30 percent.

These efficiency improvements illustrate how blockchain adoption is delivering operational value while remaining at an early stage of market penetration.

Wallet Growth and Network Activity Continue to Rise

User engagement strengthens as network activity increases. There are now more than 420 million active blockchain wallets worldwide. On Ethereum alone, smart contract deployments exceed 75 million by the first quarter of 2025. Stablecoins process substantial daily transaction volumes, supporting payments, trading, and settlement functions.

This rising engagement establishes the groundwork for broader mainstream participation.

Enterprise and Institutional Participation Accelerates

Corporate involvement continues to grow across sectors. Approximately 60 percent of Fortune 500 companies operate blockchain initiatives in 2025. Between 2024 and 2025, more than 2,600 token issuance deals occur, while over 180 banks offer tokenisation services or pilot programmes.

These developments confirm early institutional validation while indicating further integration ahead.

Regional Adoption Patterns Highlight Untapped Markets

Adoption levels vary significantly by region:

Latin America: 15.2 percent crypto ownership
Europe: 8.9 percent crypto ownership
Africa: 19.4 percent adoption growth in 2025, driven largely by mobile usage
Asia: maintains comparatively high adoption levels

These uneven patterns suggest substantial growth potential across underpenetrated markets.

Infrastructure Improvements Support Mainstream Readiness

Ongoing protocol upgrades enhance performance and scalability. Layer 2 networks and core protocol improvements increase throughput and efficiency. Average blockchain transaction finality now occurs in under 4.5 seconds, improving reliability for consumer and enterprise applications.

Regulatory Progress Strengthens Market Confidence

Regulatory clarity plays a critical role in accelerating adoption. Stablecoins surpass $230 billion in market capitalisation by mid-2025, while banks and payment providers continue piloting regulated digital asset settlement systems.

This regulatory evolution increases institutional confidence and unlocks new capital inflows.

Long-Term Growth Outlook Remains Strong

Industry forecasts for the coming decade remain highly optimistic:

User adoption may exceed 2 billion people by 2030, driven by gaming, DeFi, mobile integration, and simplified wallets
Tokenised assets may surpass $20 trillion globally, spanning property, equities, commodities, and collectibles
Enterprise deployment is expected to become nearly universal across finance, supply chains, and healthcare
DeFi and blockchain payments may approach traditional finance in transaction volume as scalability and interoperability improve

Strategic Implications for Businesses and Investors

With blockchain adoption still in an early stage, businesses and investors retain significant opportunities to develop expertise, infrastructure, and market positioning ahead of mainstream saturation. Engagement strategies currently include investment in tokenised assets, participation in DeFi platforms, development of blockchain-powered gaming ecosystems, and enterprise integration through pilot programmes in payments, identity, and supply chain management.

As blockchain transitions from high-growth innovation into global digital infrastructure, early participation remains a key competitive advantage.

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CrowPi 3 AI Learning Kit is powered by a Raspberry Pi 5 SBC, works with Arduino Nano, BBC Micro:bit, and Raspberry Pi Pico boards

news-aggregator — Wed, 24 Dec 2025 08:07:05 +0000

Elecrow CrowPi 3 is the latest CrowPi learning and development kit featuring 41 built-in modules and over 150 lessons, and offering compatibility with Raspberry Pi 5, Arduino Nano, BBC Micro:bit, and Raspberry Pi Pico single board computers and development boards. It follows the CrowPi portable learning kit (Raspberry Pi 3B+/Zero), CrowPi 2 Raspberry Pi 4 electronics learning laptop, and CrowPi L laptop (Raspberry Pi 4 models), but the CrowPi 3 is the first to focus on Artificial Intelligence (AI) learning with a Raspberry Pi 5 and support for LLMs like DeepSeek, Google Gemini, and OpenAI chat besides courses about electronics and computer vision. CrowPi 3 specifications: Compatible boards Raspberry Pi 5 (required) – Broadcom BCM2712 quad-core Arm Cortex-A76, up to 2.4GHz, 4GB or 8GB RAM. OS: Raspberry Pi OS (Debian Linux) or others Optional via headers or slots Arduino Nano Raspberry Pi Pico 1/1 W/2/2 W BBC micro:bit Display – […]

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Unlocking the Future: How Blockchain for IoT is Revolutionizing Industries

news-aggregator — Tue, 23 Dec 2025 08:07:10 +0000

The Internet of Things (IoT) connects billions of devices, but securing and managing the data they produce is a big challenge. Enter blockchain for IoT. This combination is changing how industries work by making data more secure, transparent, and efficient. We’re going to look at what this means for different businesses and what the future might hold.

Key Takeaways

Blockchain for IoT links the security and transparency of blockchain with the vast data from connected devices.
This integration significantly boosts data security for IoT systems, making them much harder to hack.
Industries like supply chain, healthcare, and energy are seeing major improvements in tracking, data management, and efficiency.
Key benefits include much stronger data protection, clear visibility of transactions, and lower operational costs.
While challenges like scaling and privacy exist, ongoing developments point to a future where blockchain for IoT is widespread.

Understanding Blockchain For IoT

What Is Blockchain For IoT?

Think of the Internet of Things (IoT) as a vast network of devices, from your smart thermostat to industrial sensors, all collecting and sharing data. Now, imagine adding blockchain technology to this network. That’s essentially what Blockchain for IoT is: the integration of these two powerful technologies. Blockchain acts like a shared, digital ledger that’s incredibly secure and transparent. When IoT devices use blockchain, every piece of data they send or every action they take is recorded in a way that’s almost impossible to change or hack. This creates a system where devices can communicate and share information with a high degree of trust and security.

The Synergy Between Blockchain And IoT

The combination of blockchain and IoT isn’t just about putting two technologies together; it’s about creating something much stronger than the sum of its parts. IoT devices generate a huge amount of data, but traditional systems often struggle to manage it securely and transparently. Centralized servers can be weak points, making them targets for cyberattacks. Blockchain, on the other hand, is decentralized. Instead of one central point of control, data is spread across many computers. This means:

Enhanced Security: Data is cryptographically secured and distributed, making it very difficult for unauthorized parties to tamper with it.
Improved Trust: Every transaction or data point is recorded on an immutable ledger, providing a verifiable history.
Decentralized Operations: Devices can interact and make decisions autonomously without needing a central authority to approve every step.

This partnership means IoT devices can operate more reliably and securely, with a clear and trustworthy record of their activities.

The core idea is to bring the security and transparency of blockchain to the vast, data-generating world of IoT. This allows for more reliable data, secure device-to-device communication, and a reduction in the vulnerabilities often found in traditional, centralized IoT setups. It’s about building a more robust and trustworthy digital infrastructure for connected devices.

Core Benefits Of Integration

When blockchain and IoT come together, several key advantages emerge that can reshape how we use connected technology. These benefits address some of the biggest challenges faced by current IoT systems:

Fortified Data Security: By distributing data across a network and using advanced encryption, blockchain makes IoT data significantly more resistant to breaches and unauthorized alterations. This is a major step up from many current systems that rely on single points of failure.
Unprecedented Transparency and Traceability: Imagine being able to track the exact journey of a product from its origin to your hands, with every step verified on a blockchain. This level of visibility is now possible, building confidence and accountability.
Streamlined Operations and Cost Reduction: Automating processes through smart contracts on the blockchain can remove the need for intermediaries, speeding up transactions and cutting down on associated fees. This leads to more efficient and cost-effective operations across various industries.

Revolutionizing Industries With Blockchain For IoT

The combination of blockchain and the Internet of Things (IoT) isn’t just a technological upgrade; it’s a fundamental shift in how industries operate. Think about it: IoT devices are constantly collecting data, but without a secure and trustworthy way to manage it, that data can be vulnerable or even useless. Blockchain steps in to provide that trust, creating a system where information from these devices is secure, transparent, and verifiable. This synergy is already making big waves across different sectors.

Transforming Supply Chain Management

Supply chains are complex, with many moving parts and a constant need for accurate tracking. Blockchain for IoT offers a way to see exactly where a product is, what condition it’s in, and who handled it, all recorded on an unchangeable ledger. This means less chance of counterfeit goods entering the market and more confidence for everyone involved, from the manufacturer to the end consumer.

Real-time Tracking: IoT sensors can monitor a product’s location, temperature, and humidity. This data is then securely logged onto the blockchain.
Authenticity Verification: Consumers can scan a product and instantly see its entire journey, confirming it’s genuine.
Fraud Prevention: Tampering with records or introducing fake items becomes incredibly difficult when every step is immutably recorded.
Improved Efficiency: Automated processes, like triggering payments upon delivery confirmation, can be set up using smart contracts.

Imagine a world where every single item, from a piece of fruit to a high-tech component, has a digital passport. This passport, powered by IoT sensors and secured by blockchain, tells its complete story – where it came from, how it was handled, and when it arrived. This level of detail drastically cuts down on errors and builds a level of trust that was previously hard to achieve.

Enhancing Healthcare Operations

In healthcare, the security and privacy of patient data are paramount. Blockchain for IoT can create a secure environment for medical devices and patient records. Wearable devices can collect health metrics, and this sensitive information can be stored and shared in a way that protects patient privacy while still allowing authorized access for medical professionals.

Secure Patient Records: Medical histories and data from IoT health devices are stored on a decentralized ledger, reducing the risk of breaches.
Controlled Data Sharing: Patients can grant specific permissions for who can access their health data and for how long.
Drug Traceability: The journey of pharmaceuticals from manufacturer to patient can be tracked to prevent counterfeit medications.
Remote Patient Monitoring: Reliable data from home health devices can be securely transmitted to healthcare providers.

Innovating The Energy Sector

The energy sector is also seeing significant changes. Blockchain for IoT can help manage smart grids more effectively, track energy production and consumption, and even facilitate peer-to-peer energy trading. This can lead to more efficient energy distribution and a more stable grid, especially as renewable energy sources become more common.

Smart Grid Management: IoT devices monitor energy flow, and blockchain records transactions, leading to better load balancing and reduced waste.
Renewable Energy Tracking: The origin and distribution of energy from solar panels or wind turbines can be transparently recorded.
Automated Billing: Smart meters can automatically record energy usage, and blockchain can facilitate secure and accurate billing processes.
Decentralized Energy Markets: Individuals with solar panels could sell excess energy directly to their neighbors, with transactions managed by blockchain.

Key Advantages Of Blockchain For IoT

Integrating blockchain technology with the Internet of Things (IoT) brings about some really significant improvements. It’s not just about adding another layer of tech; it’s about fundamentally changing how we handle data and operations.

Fortified Data Security

One of the biggest wins here is security. Traditional IoT setups often rely on central servers, which can become weak spots. If a hacker gets into that central point, they could potentially access or mess with data from many devices. Blockchain, on the other hand, is decentralized. This means data is spread across many computers, not just one. This distributed nature makes it incredibly difficult for unauthorized parties to tamper with information. Each piece of data is cryptographically linked to the one before it, creating a chain that’s tough to break. Think of it like having many locks on a door instead of just one.

Unprecedented Transparency And Traceability

Blockchain provides a clear, unchangeable record of everything that happens. For IoT devices, this means you can track exactly where data came from, when it was recorded, and what happened to it. This is super useful in areas like supply chains. You can see a product’s entire journey, from its origin to its final destination, with every step logged immutably. This level of visibility helps prevent fraud and builds trust.

Real-time Tracking: Monitor assets as they move through different stages.
Authenticity Verification: Confirm the origin and history of goods.
Audit Trails: Maintain a reliable record for compliance and dispute resolution.

This immutable ledger means that once data is recorded, it cannot be altered or deleted. This creates a trustworthy history for all interactions and transactions within the IoT network.

Streamlined Operations And Cost Reduction

When IoT devices can communicate and transact securely without needing a central authority to verify everything, a lot of middlemen can be cut out. Smart contracts, which are self-executing contracts with the terms of the agreement directly written into code, can automate many processes. This automation can lead to fewer errors, faster operations, and lower costs. For instance, imagine devices automatically ordering supplies when they run low or initiating maintenance checks based on performance data. This kind of trustworthy blockchain integration can really change how businesses operate, making them more efficient and less prone to manual mistakes.

Navigating Implementation Challenges

While the idea of combining blockchain and IoT sounds fantastic, getting it to work in the real world isn’t always straightforward. There are a few big hurdles we need to clear before this technology becomes as common as, well, your smart thermostat.

Addressing Scalability Concerns

One of the main issues is how much data and how many transactions IoT devices create. Think about all the sensors in a smart city or a large factory – they’re constantly sending information. Traditional blockchains can get bogged down trying to process all of this, leading to slow speeds and higher costs. It’s like trying to fit a whole parade through a single-lane road.

Sharding: This involves splitting the blockchain network into smaller, more manageable pieces. Each piece can process transactions independently, speeding things up considerably.
Sidechains: These are separate blockchains that work alongside the main one. They can handle specific tasks or transactions off the main chain, reducing congestion.
Layer-2 Solutions: Think of these as express lanes. They process transactions away from the main blockchain and only record the final results, making things much faster.

The sheer volume of data generated by interconnected devices presents a significant bottleneck for many existing blockchain architectures. Finding ways to process this information quickly and affordably is key to making blockchain for IoT practical on a large scale.

Ensuring Data Privacy

Blockchain is known for its transparency, which is great for tracking things. However, not all data from IoT devices should be public. Sensitive information, like personal health data from wearables or proprietary manufacturing details, needs to be kept private. Balancing the need for a verifiable record with the requirement for confidentiality is tricky.

Encryption: Using strong encryption methods to scramble data before it’s put on the blockchain. Only authorized parties with the right keys can unscramble it.
Access Control: Setting up strict rules about who can see what data. This means defining user roles and permissions carefully.
Zero-Knowledge Proofs: This is a more advanced technique that allows one party to prove that a statement is true without revealing any information beyond the truth of the statement itself. It’s like showing someone you have the key without actually showing them the key.

Overcoming Implementation Hurdles

Beyond technical challenges, there are other practical issues. Integrating new blockchain systems with existing IoT infrastructure can be complex and expensive. There’s also the matter of getting everyone on board – businesses, developers, and even regulators need to understand and trust the technology. Establishing clear legal frameworks for smart contracts and data ownership is also an ongoing process.

Standardization: Developing common protocols and standards so different blockchain and IoT systems can talk to each other easily.
Education and Training: Providing resources and training to help people understand how to use and manage these new systems.
Regulatory Clarity: Working with governments to create clear rules and guidelines that support innovation while protecting users.

The Future Landscape Of Blockchain For IoT

Emerging Trends And Predictions

The integration of blockchain and IoT is still relatively new, but the trajectory is clear: expect to see even more sophisticated applications emerge. One significant trend is the move towards more autonomous systems. Imagine IoT devices not just collecting data, but also using blockchain to securely transact and make decisions based on that data, all without human intervention. This could mean smart grids that automatically adjust energy distribution based on real-time demand and supply, or fleets of autonomous vehicles that manage their own maintenance schedules and refueling through smart contracts.

We’re also likely to see a deeper fusion with other advanced technologies. Artificial intelligence (AI) and machine learning (ML) will play a bigger role, analyzing the vast amounts of secure data generated by IoT devices on the blockchain to identify patterns, predict issues, and optimize operations. This combination could lead to highly intelligent, self-managing systems across various industries.

Potential In Developing Markets

For developing economies, blockchain for IoT presents a unique opportunity to leapfrog traditional infrastructure challenges. Think about agriculture: IoT sensors can monitor soil conditions, weather, and crop health, with all this data securely recorded on a blockchain. This transparency can help farmers access better financing, prove the origin and quality of their produce to international buyers, and reduce fraud in the supply chain.

In healthcare, especially in remote areas, blockchain-secured IoT devices could enable remote patient monitoring and secure sharing of medical records, improving access to care. Similarly, in energy, decentralized microgrids managed by blockchain could bring reliable power to communities that currently lack it. The inherent trust and transparency offered by blockchain can be a powerful tool for economic growth and development in these regions.

The Road Ahead For Connected Systems

As we move forward, the focus will be on refining the existing technologies and addressing the hurdles that remain. Scalability is a big one; as the number of connected devices explodes, blockchains need to handle an ever-increasing volume of transactions efficiently. Innovations like sharding and off-chain processing are key here, aiming to boost transaction speeds without sacrificing the core security and decentralization that make blockchain so attractive.

Data privacy is another area of active development. While blockchain offers transparency, protecting sensitive information is paramount, especially in sectors like healthcare. New cryptographic techniques are emerging that allow data to be verified and used without revealing the underlying sensitive details.

The journey of integrating blockchain with IoT is about building a more secure, transparent, and efficient digital future. It’s not just about connecting devices; it’s about creating a trusted ecosystem where data flows freely and securely, driving innovation and solving real-world problems.

Ultimately, the future of connected systems hinges on our ability to build robust, secure, and user-friendly solutions that harness the combined power of IoT and blockchain. The potential for transformation is immense, and the coming years will undoubtedly bring exciting advancements.

Looking Ahead

So, we’ve seen how combining blockchain and IoT is really changing things. It’s not just about fancy tech; it’s about making systems more secure, more open, and just plain more efficient. From tracking goods in a supply chain to making sure your medical data is safe, this partnership is showing up everywhere. While there are still some hurdles to clear, like making sure the systems can handle tons of data and keeping everything private, the path forward looks pretty bright. As more businesses start to see the benefits, expect to see this technology pop up in more and more places, helping to build a more connected and trustworthy digital world for all of us.

Frequently Asked Questions

What exactly is Blockchain for IoT?

Think of Blockchain for IoT as a super-secure way to connect everyday devices, like smart refrigerators or factory machines, using a special digital ledger called a blockchain. This ledger keeps track of all the information and actions from these devices in a way that’s very hard to change or hack, making everything more trustworthy.

How does connecting blockchain and IoT help businesses?

It’s like giving your devices a secure ID and a trustworthy diary. This connection helps businesses keep their information safe from hackers, lets them see exactly where their products are and if they’re okay (like in shipping), and makes their operations run much smoother and cheaper by cutting out unnecessary steps.

Can you give an example of how this helps a specific industry?

Absolutely! In shipping, imagine tracking a package. IoT sensors can tell you its location and temperature, and blockchain records this information permanently. This means you can always prove where something came from, if it was handled correctly, and stop fake items from entering the system.

Is it difficult to set up this kind of technology?

Setting it up can be tricky. One big challenge is making sure the system can handle a huge number of devices sending information all at once without slowing down. Another is making sure private information stays private, even though the blockchain is designed to be open.

What are the main good things about using blockchain with IoT?

The biggest wins are super strong security, because the information is spread out and hard to tamper with, and amazing transparency. You can see exactly what’s happening with your data or products. It also helps cut down on costs by making things more efficient and removing the need for some middlemen.

What does the future look like for blockchain and IoT together?

The future looks very bright! We’ll likely see even more smart devices working together securely. This technology could help developing countries leapfrog older systems, making things like farming, healthcare, and energy more reliable and accessible for everyone.

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