Tiny AI: 8 kilobyte neural networks in shoes, bikes, cameras

Neura Robotics officially launched shed 4NE-1 this week. It's the leading European humanoid robot and it's the most powerful humanoid robot in existence right, as far as I'm aware, able to life 100kg or 220 pounds.Neura also released a plan to build 5 million robots by 2030, a new home service robot named MiPA, a new 'Omnisensor' technology platform for integrating input from multiple types of sensors, and an app store for robot skills that anyone can contribute to ... and profit from.In this TechFirst, we chat with David Reger, CEO of Neura Robotics, the leading European humanoid robotics company.We touch on advanced sensors, AI integration, and Neura Robotics' platform that enables extensive customization and scalability. We also chat about significant partnerships with companies like NVIDIA, SAP, and Deutsche Telekom.00:00 Introduction to Humanoid Robotics00:22 Interview with Neura Robotics CEO00:39 Launch of '4NE-1' Humanoid Robot02:26 Technical Specifications and Capabilities04:39 Advanced Sensor Technology09:24 Artificial Skin and Touch Sensory14:05 AI Integration in Robotics15:53 Challenges in Embodied AI17:11 Robot Gyms and Training19:10 Partnerships and Collaborations20:56 The App Store for Robot Skills22:18 AI-Assisted Development Platform29:15 Introducing Mepa: The Home Robot31:41 Future Prospects and Closing Remarks

AI is big these days. Massive. More parameters, more memory, more capability. But what if the future is in tiny AI. Neural networks as small at 8 kilobytes on tiny chips, embedded in everything?Think smart shoes.Smart doors.Smart ... everythingIn this episode of TechFirst, host John Koetsier discusses the future of smart devices with Yubei Chen, co-founder of AIzip. The conversation explores how small-scale AI can revolutionize everyday objects like shoes, cameras, and baby monitors. They delve into how edge AI, which operates at the device level rather than in the cloud, can create efficient, reliable, and cost-effective smart solutions. Chen explains the potential and challenges of integrating AI into traditional devices, including the hardware and software requirements, and touches on the implications for product quality, safety, and cost. This insightful discussion provides a look into the near future of ubiquitous, intelligent technology in our daily lives.00:00 Introduction to Smart Matter01:17 Examples of Smart Applications03:40 Building Efficient AI Models04:01 The Future of Edge AI09:32 Hardware for Smart Devices11:52 Potential Downsides and Challenges18:14 Conclusion and Final Thoughts

IBM has just unveiled its boldest quantum computing roadmap yet: Starling, the first large-scale, fault-tolerant quantum computer—coming in 2029. Capable of running 20,000X more operations than today’s quantum machines, Starling could unlock breakthroughs in chemistry, materials science, and optimization.According to IBM, this is not just a pie-in-the-sky roadmap: they actually have the ability to make Starling happen.In this exclusive conversation, I speak with Jerry Chow, IBM Fellow and Director of Quantum Systems, about the engineering breakthroughs that are making this possible ... especially a radically more efficient error correction code and new multi-layered qubit architectures.We cover:- The shift from millions of physical qubits to manageable logical qubits- Why IBM is using quantum low-density parity check (qLDPC) codes- How modular quantum systems (like Kookaburra and Cockatoo) will scale the technology- Real-world quantum-classical hybrid applications already happening today- Why now is the time for developers to start building quantum-native algorithms00:00 Introduction to the Future of Computing01:04 IBM's Jerry Chow01:49 Quantum Supremacy02:47 IBM's Quantum Roadmap04:03 Technological Innovations in Quantum Computing05:59 Challenges and Solutions in Quantum Computing09:40 Quantum Processor Development14:04 Quantum Computing Applications and Future Prospects20:41 Personal Journey in Quantum Computing24:03 Conclusion and Final Thoughts

How will we scale humanoid robot product to hundreds of thousands and millions of units? In this TechFirst we do a deep dive with Apptronik CEO Jeff Cardenas. We chat about Apptronik's Apollo, his recent $400M+ funding round, the partnership with manufacturing giant Jabil, and much more.We also talk about innovations in AI that have accelerated robot learning and dexterous manipulation, the challenge of scaling manufacturing, and Apptronik's future vision.🎙️ Podcast Summary:Topic: The future of humanoid robotics, funding, manufacturing, and the global AI arms raceGuest: Jeff Cardenas, CEO of Apptronik🦾 Apollo Robot Updates • Apollo 1 debuted in 2023; new versions are coming in 2025 with major upgrades. • Focus areas: larger batteries, swappable parts, improved actuators, and system robustness. • Push toward dexterous manipulation, not just lifting boxes—real industrial work.💰 $403 Million Funding Round • Grew from $350M with new investments from Mercedes, Google (DeepMind), B Capital, Capital Factory, and others. • Mercedes’ legacy of precision and design deeply inspires Cardenas. • Funding will fuel scaling, robustness, and manufacturing partnerships.🏭 Manufacturing Strategy • New partnership with global manufacturing giant Jabil. • Learning from Jabil to avoid premature scaling pitfalls. • Long-term plan includes building out their own capability in Texas and Mexico. • Manufacturing flexibility is key amid tariff and geopolitical uncertainty.🌍 The Global Race: US vs. China • Over 100 humanoid robotics companies worldwide; US and China dominate. • China has invested $138B+ into domestic robotics, outpacing the rest of the world in deployment. • Cardenas calls it the “Space Race of Our Time”, emphasizing urgency and national strategy.📅 Roadmap for Humanoids • 2025: Proving commercial viability in industrial/logistics environments. • 2026+: Volume manufacturing begins for industrial use. • Phase 2: Retail, healthcare, hospitality. • Phase 3 (5+ years): Elder care and home robots — Cardenas’ personal North Star.🧠 Vision & Ethics • “Robots for Humans” isn’t just branding—it’s a human-centered design philosophy. • Deep partnership with Google DeepMind ensures AI is developed responsibly. • Apptronik’s mission: build robots that people want around, not fear.💡 Soundbites • “You don’t just build the robot. You build the machine that builds the machine.” • “We want to be the Apple of robots—designed for people.” • “This is the 1980s of humanoid robots—but innovation is 10x faster.”00:00 Introduction to Humanoid Robot Innovation00:31 Apron's Recent Achievements and Funding01:23 Interview with Apptronik CEO, Jeff Cardenas01:46 Advancements in Apollo Humanoid Robot03:47 Challenges in Scaling Robotics07:56 Future Plans and Human-Centered Robotics10:35 Global Race and Investment in Robotics20:03 Meeting Howard Morgan and B Capital20:41 Inspiration from Mercedes-Benz and Steve Jobs22:02 Global Investors and Supporters23:37 Manufacturing Challenges and Strategies29:36 The Global Race in Humanoid Robotics35:39 Timetable for Humanoid Robots39:57 The Future of Humanoid Robots in Elder Care42:22 Closing Remarks and Final Thoughts

Would you want a personal AI that acts as your twin mind? I've always dreamed of never forgetting anything. And instantly and effortlessly remembering anything I need, right away. Now, an AI-driven app called TwinMind might help me do something similar.In this episode of TechFirst we chat with Daniel George, the CEO of TwinMind. This innovative AI app aims to become your second brain, capturing and processing your life events in real-time. We chat about George's inspiration behind TwinMind, its features, future vision, and the LLM tech making it possible. We also chat about privacy and security concerns.00:00 Introduction to AI and Twin Mind00:51 How Twin Mind Works01:37 Real-World Applications and User Experience03:37 Privacy and Security Concerns11:06 Technology Behind Twin Mind15:17 Future of AI and Twin Mind's Vision21:08 Conclusion and Final Thoughts

Microsoft just announced a massive quantum computer breakthrough that uses an entirely new state of matter. The new quantum computer uses topological superconductors to create stable qubits with low error rates. Topological superconductors enable stable qubits by utilizing Majorana zero modes to protect quantum information from decoherence.The result: Microsoft should have a fault-tolerant usable quantum computer this decade. As in, before 2030.In this TechFirst, we talk with Microsoft's head of quantum hardware, Chetan Nayak, who has been working on solving this problem for literally 19 years, and he talks us through the technology and what it means for quantum computer. He explains the methods to measure this new state non-destructively, the novel architecture that leverages it, and Microsoft's ambitious roadmap towards building a fault-tolerant quantum computer within this decade. The conversation delves into potential future applications, the integration of this technology into global data infrastructures, and the transformative possibilities it holds for various fields, including chemistry, materials science, and beyond.00:00 Introduction to Fault Tolerant Quantum Computing00:48 Understanding the New Phase of Matter: Topological Superconductor02:10 Properties and Applications of Superconductors03:11 Creating and Engineering Topological Superconductors05:16 The Significance of Topological Superconductors for Qubits09:54 Measuring Quantum States with Quantum Dots13:03 Building and Testing Quantum Devices19:43 Future Roadmap for Quantum Processors19:53 Unveiling the Quantum Roadmap20:34 DARPA Collaboration and Engineering Milestones21:23 Fabrication and Demonstration of the Eight Qubit Processor21:43 Accelerating Quantum Progress23:22 Scaling Quantum Computers for Practical Applications27:04 The Long Journey of Quantum Research at Microsoft33:24 Future Prospects and Challenges in Quantum Computing38:10 Quantum Computing's Role in Addressing Global Issues42:32 Reflections on a 19-Year Journey

What humanoid robots is Europe working on? There are maybe 100 humanoid robot companies on the planet, and 16 major ones, but none in Europe according to Peter Diamandis' recent report. That might just have changed.Neura Robotics out of Germany is working on the third generation of its 4NE-1 robot and CEO David Reger says in June they'll be releasing it. And it should be the best humanoid robot on the planet, he says.In this TechFirst we sit down and chat about Europe's answer to humanoid robots, and what Reger sees as a significantly pro-social and pro-human means to bring AI and robotics into the world. We discover how Neuro Robotics is innovating with their upcoming Gen 3 humanoid robot, 4NE-1, learn about their unique approach to robotics, including responsive AI, real-time data streaming, and the development of a sensitive robotic skin. We also explore the future of work, the race against global competitors, and what AI-driven humanoid robots mean for society. 00:00 European Humanoid Robots01:09 The Concept of 'For Anyone' Robots01:46 Rapid Innovation and Development06:29 Challenges in Humanoid Robotics09:02 Neuro Robotics' Unique Approach17:53 Collaborative Market Strategy19:55 Teasing the Third Generation Robot20:10 Challenges in Robot Sensing and Interaction20:50 Innovations in Robot Skin and Sensors22:59 Speed and Agility in Robotics25:38 The Global Race in Robotics28:46 The Future of Humanoid Robots31:45 Balancing Technology and Society34:03 The Role of AI and Robotics in Human Life38:27 Concluding Thoughts and Vision

It feels like we're at a tipping point right now in humanoid robotics. Models are getting released faster and faster, more and more capable than ever. Robots are actually taking paying gigs in warehouses and factories, and there's accelerating innovation. Author, engineer, doctor, investor, and entrepreneur Peter Diamandis just released a major report on the entire industry, and together we dive into what's happening and what's changing. One prediction he made: we'll have humanoid robots in the home, helping us with our work, by 2026 in beta. We discuss recent advancements, like the shipment of new models by Agility Robotics and Figure, and the development of Tesla's Optimus. Peter Diamandis shares insights from his extensive report on the state of humanoid robotics, highlighting key players in both the United States and China. We also talk about the implications of having humanoid robots integrated into various industries, the potential for radically reduced labor costs, and the impact on global economics. And we touch on the broader societal impact, evoking considerations for purpose and struggle in a highly automated future. 00:00 Introduction to Humanoid Robots 01:07 Meet Our Expert Guest: Peter Diamandis 01:33 The Rapid Evolution of Humanoid Robots 03:06 The Future of Humanoid Robots in Society 07:13 Economic Implications of Humanoid Robots 12:17 Technological Advancements and Human Adaptation 19:28 The Design and Functionality of Humanoid Robots 22:00 Future of Work: Robots Taking Over 22:39 The Evolution of Robot Design 23:08 Challenges and Early Days of Robotics 23:42 The Rise of Robot Companies 24:26 Integration of AI and Robotics 25:56 China's Role in the Robotics Revolution 28:58 3D Printing and Robotics 30:22 Top Players in the Robotics Industry 36:31 Robots in Medicine and Surgery 38:43 Conclusion and Upcoming Events

Most of the time when we're talking about humanoid robots, we're talking about laborers ... workers who will fill our factories and fields. What about friends? Companions? Or more? In this episode of TechFirst, host John Koetsier chats with Andrew Kiguel, CEO of Realbotix, and Aria, his hyper-realistic AI-integrated robot. We talk about the development, capabilities, and future applications of robots designed for companionship and interaction, including their costs, AI integration, and how big the companionship market, not just the labor market 00:00 Introduction to Humanoid Robots 01:28 The Future of Work with Robots 02:24 Emotional and Social Roles of Robots 03:23 Economic Impact and Job Displacement 07:00 Companionship Robots: Addressing Loneliness 10:26 AI Technology Behind Aria 15:15 Challenges and Innovations in Robotics 21:31 Conclusion and Final Thoughts

Predicting Space Weather with AI & Satellites: A TechFirst Exclusive In this episode of TechFirst, host John Koetsier chats with Alex Pospeckov, CEO of Mission Space, about the critical role of space weather forecasting. Learn how advanced AI and a planned constellation of 24 satellites will predict space weather and protect billions of dollars of assets. Discover the implications for aerospace companies, power plants, satellite operators, and even airlines as Alex explains the science behind solar flares, coronal mass ejections, and their potential devastating impacts. Gain insights into how accurate space weather predictions can mitigate risks, save lives, and ensure operational continuity for critical infrastructure on Earth and in space. 00:00 Introduction to Space Weather 01:16 Understanding Space Weather 03:26 Historical Impacts of Space Weather 07:38 Predicting Space Weather with AI 11:30 Challenges and Solutions in Space Weather Prediction 17:14 Future of Space Weather Prediction 24:44 Conclusion and Future Plans