Podcasts about edge ai

In this episode of Convergence.fm, Ashok Sivanand sits down with Farhan Thawar, Head of Engineering at Shopify, to go behind the scenes of how Shopify not only keeps pace with rapid change but leads it.  The discussion explores how Shopify became one of the first platforms to allow merchants to sell products directly inside ChatGPT, why that move challenges Amazon's dominance, and what it takes to build a company that learns faster than it fails.  Farhan explains the systems that make being first repeatable rather than accidental, including Shopify's internal LLM proxy, MCP servers, experimentation culture, and democratized tooling.  If you are a CEO, COO, or CTO looking to scale through culture, systems, and intentional technology adoption, this episode shows what it looks like to operate with conviction and long-term relevance. Key Topics and Moments: Shopify and OpenAI's commerce integration. The same day OpenAI enabled in-chat shopping, Shopify merchants were already live. Farhan explains what it takes for a company of Shopify's size to move with that kind of speed Competing with Amazon through culture, not size. Shopify has 3,000 engineers compared to Amazon's 35,000+, yet continues to outpace bigger players by focusing on coherence, focus, and empowered execution rather than bureaucracy and scale. The meaning behind Tobi Lütke's April AI memo. Farhan discusses how Shopify operationalized its “AI is non-optional” stance, what baseline expectations look like, and how performance is evaluated in an AI-native organization. AI reflexivity and the “three buckets.” Farhan explains how teams are taught to recognize “AI not allowed,” “AI optional,” and “AI mandatory” problems so that employees develop instinct for when to reach for AI — and when to pick up the screwdriver. The risk of ‘vibe coding' and why hand tools still matter. Farhan shares lessons from real incidents inside and outside Shopify, like the Cloudflare outage caused by unreviewed AI-generated code, and how engineering leaders teach judgment, not just prompting. The LLM Proxy and MCP Servers. Inside look at how Shopify democratized AI across departments by building an internal platform that connects all major models and corporate data sources, enabling every employee to build workflows and ask intelligent questions — not just engineers. AI budgeting vs. SaaS budgeting. Farhan explains why AI usage isn't treated like traditional SaaS spend and how Shopify encourages heavy experimentation by rewarding impact rather than punishing token consumption. Experimentation as a system. How teams are encouraged to show work at 20%, not 80%, and why the speed of learning, not perfection, is the true productivity metric. Subtraction as leadership. Farhan shares how founders and executives must delete outdated processes, rules, and layers of bureaucracy to make room for new ideas — why process should only exist if it makes something possible or 10x better. Hiring and growing AI-native talent. Why Shopify doubled down on internships, hiring 1,000 interns this year and next, and how younger engineers push full-timers to stay current by being born AI-native “centaurs.” Responsibility versus accountability. Why leaders can delegate tasks but not responsibility, and how to stay in the work without disempowering the team. Certainty as intolerance. Farhan's reflection on why overconfidence kills creativity, and how leaders can replace fixed beliefs with wayfinding, curiosity, and adaptive decision-making. Rapid-fire reflections for CEOs. Ashok and Farhan close with lessons on showing unfinished work, modeling curiosity, and removing friction as a cultural operating system. Who Should Listen: Mid-market CEOs, COOs, and CTOs building adaptable organizations that can scale.  Leaders focused on culture and transformation, not just technology adoption.  Operators who want to apply product thinking and modern software practices to traditional industries. Notable Quotes: “We have a baseline expectation of using AI. If you have two people, one using AI and one not, they will both be evaluated the same.” – Farhan Thawar on AI usage expectations  “We don't like waste, but we don't have limits. If you believe in your workflow, use the best model for your problem solving.” – Farhan Thawar on AI token cost and consumption   “You can now buy directly in chat from Shopify merchants. That is a major shift in how people discover and buy online.” – Ashok Sivanand on Shopify launching all their merchants on ChatGPT's Shop feature on the very day it was launched  Related Reading and References: Shopify Blog: Shopify and OpenAI bring commerce to ChatGPT (official announcement) - https://www.shopify.com/news/shopify-open-ai-commerce?podconvergence   Reuters: OpenAI partners with Shopify, Stripe, and others to expand ChatGPT integrations - https://www.reuters.com/world/americas/openai-partners-with-etsy-shopify-chatgpt-checkout-2025-09-29/?podconvergence   TechCrunch: Inside Tobi Lütke's AI Memo and Shopify's Cultural Shift - https://techcrunch.com/2025/04/07/shopify-ceo-tells-teams-to-consider-using-ai-before-growing-headcount/?podconvergence  Farhan's opinions about token consumption - https://x.com/fnthawar/status/1930367595670274058  Farhan's article about “looking stupid”- https://medium.com/helpful-com/why-looking-stupid-is-my-superpower-2ee3fe00a748?podconvergence  The Convergence.fm first episode with Farhan in 2024 - https://convergence.fm/episode/from-code-to-culture-how-shopify-thrives-under-farhan-thawars-thought-leadership  The Convergence.fm Episode about Tobi Lütke's leaked AI memo mandate, and our 6 takeaways - https://convergence.fm/episode/shopifys-leaked-ai-mandate-explained-6-takeaways-for-your-product-team  Tobi's memo Tweet - https://x.com/tobi/status/1909231499448401946 Unreasonable Hospitality (book) - https://www.amazon.com/Unreasonable-Hospitality-Remarkable-Giving-People/dp/0593418573  Farhan's Twitter (public handle) - https://x.com/fnthawar  Reflection and Action Steps: Start with your mission. Before choosing tools, clarify what problem you are solving and what your business stands for.  Enable your team. Ask whether you are removing barriers or creating them.  Are employees empowered to experiment?  Model the change. Use AI tools yourself. Share your learnings, wins, and failures openly. F Foster learning. Consider introducing internal forums or “thinking clubs” that encourage curiosity and reflection across your team.  

In this episode, Arm's Paul Williamson and VDC Research's Chris Rommel unpack the findings from a new industry study exploring how edge AI is reshaping the future of embedded systems and IoT development. The conversation spans the evolving role of software, the rise of Python and Linux in embedded engineering, and how Arm's ecosystem and compute platforms are enabling scalable, intelligent edge solutions.

Send us a textWant to know what “better hearing in noise” actually sounds like when AI, sensors, and human care work in sync? We bring together Starkey's president and CEO, Brandon Sawalich, and Chief Hearing Health Officer, Dr. Dave Fabry, for a candid look at Starkey Omega AI—why it exists, what changed from Edge AI, and how it turns hearing aids into confident, 360-degree listening tools without sidelining professionals.We dig into DNN 360 and how deep neural networks now blend noise management with directionality and low-latency binaural processing to deliver measurable gains in speech understanding. Dave explains the role of IMU sensors in tracking movement and intent—think following a walking companion at your side—while Brandon shares how being privately held enables a patient-first pace of innovation. TeleHear AI adds timely support: when a clinic visit isn't possible, users can describe the problem, get smart on-device adjustments, compare results, and keep what works, with changes reported back to their clinician. It's an example of “friendly AI” that saves time, lifts outcomes, and preserves the provider-patient bond.We also talk access and ethics. From fall detection offered across tiers to StarkeyCares and Hear Now, the team argues that safety and dignity shouldn't be premium features. Data logging grows from hours-worn into environment-aware insights that inform personalization, reduce returns, and drive satisfaction. And for clinicians worried about being replaced, the takeaway is clear: the irreplaceable value is knowing the person behind the audiogram, translating powerful tech into the two or three features that matter most to that life.If you care about hearing technology, clinical excellence, health equity, and where AI is truly useful, this conversation maps the road ahead—fast, human, and focused on outcomes. Subscribe, share with a colleague who still thinks “adaptive directionality” is enough, and leave a quick review telling us which Omega AI feature you want to try first. Connect with the Hearing Matters Podcast TeamEmail: hearingmatterspodcast@gmail.com Instagram: @hearing_matters_podcast Twitter: @hearing_mattasFacebook: Hearing Matters Podcast

Edge AI is transforming how intelligence is built into devices by processing data locally instead of on the cloud. This results in faster performance, stronger security and greater efficiency across industries – from healthcare to consumer electronics to smart infrastructure. Learn how “tiny edge” systems are driving this shift and what's next. ➡️ Discover more on the STBlog

Peloton unveils brand-new equipment and an AI-powered user interface.Details on the upcoming Peloton Chicago Shakeout run.Exploring the hidden gems and extra programming on Peloton's YouTube channel.Camila Ramon sits down for a special interview with the legendary Gloria Estefan.Alex Rodriguez interviews Peloton's own Robin Arzon for Bloomberg.We share the exciting news from Selena Samuela's gender reveal.Hannah Corbin announces her upcoming book tour.TCO Top Five: We count down the top classes of the week as voted by you.This Week at Peloton: Your guide to all the new classes and events.A deep dive into Andy Speers' strength classes and what makes them a must-take for your fitness journey.Ash Pryor and Alex Karwoski launch a brand-new program for the Peloton Row.Peloton drops a challenging 75-minute Hyrox-style boot camp.Jeffrey McEachern leads a special run for World AIDS Day.We celebrate Peloton instructor birthdays, starting with Nico Sarani on October 3rd.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Hello everyone, and welcome to another episode of Embedded Edge, where we explore the technologies shaping the future of embedded systems. Today's episode is brought to you by our sponsor, Infineon.In this episode, we speak with Sid Shaw, General Manager for Applications at Infineon's Connected Secure Systems division. Sid leads Infineon's global strategy across key application areas such as smart home, IoT, motor control, and digital health. With smart homes evolving from simple convenience to critical connected ecosystems, the demand for security, efficiency, and intelligence has never been greater. Together, we explore how Infineon is addressing these challenges, what trends are shaping consumer expectations worldwide, and how silicon innovation—from MCUs to edge AI—is driving the next wave of smarter, safer, and more sustainable living.

In this episode, host Paige West speaks with Matthias Huber, Sr. Director, Solutions Manager, IoT/Embedded & Edge Computing, Supermicro, all about accelerating Edge AI infrastructure for predictive and Generative AI.

In this episode we spoke with Mike Rohrmoser, VP of Product Management for OEM Solutions at Digi, a global provider of mission-critical IoT connectivity products and services. We explored how manufacturers are addressing labor shortages with IoT and automation, the trade-offs between retrofitting existing factories and building new ones, the evolving sensor and connectivity landscape, and practical steps to scale IoT pilots into production. Key insights: • Retrofitting existing plants is often the smarter move. Brownfield upgrades can cost 40–60% less than new builds and achieve faster returns when paired with business-focused use cases and retrofit connectivity. • Sensors and networks must be judged as a whole system. Industrial buyers weigh accuracy, deployment simplicity, and lifetime cost over unit price, with wireless IO-Link and LTE Cat 1 gaining traction and 5G RedCap on the horizon. • Edge AI is real, but focused. Today it is most effective in computer vision for quality inspection and counting, while new designs anticipate broader workloads as adoption matures. • GenAI augments people, not machines. Its strengths are in analysis, documentation, and device management, while safety-critical real-time control remains firmly in the domain of conventional automation. • Scaling pilots requires proving value early. Many initiatives stall when they start with technology instead of problems; success depends on production-ready components, operator trust, and leadership alignment. IoT ONE database: https://www.iotone.com/case-studies The Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/

In this DCF Trends-Nomads at the Summit Podcast episode, the editors of Data Center Frontier and the hosts of Nomad Futurist sit down with Doug Recker, a telecommunications veteran and edge data center pioneer with more than 30 years of industry leadership. Today, Recker leads Duos Edge AI, driving initiatives to bring multi-access edge data centers (EDCs) to underserved communities, including schools and health facilities across the U.S. From founding Edge Presence (acquired by Ubiquity in 2023) and Colo5 Data Centers (later acquired by Cologix in 2014), to deploying more than 40 TM2500 units worldwide, Recker has consistently been at the forefront of building scalable, resilient infrastructure. His career is marked by multiple honors, including Northeast Florida's Ultimate CEO Award and recognition among Inc. 500's fastest-growing companies. In this conversation, Recker shares insights on the evolution of edge computing, lessons learned from decades in telecom and data centers, and how his time in the U.S. Marine Corps shaped his leadership philosophy. Tune in for a wide-ranging discussion on innovation, resilience, and the future of edge AI.

We're unpacking the latest update from why Microsoft is betting big on AI in browsers. This could be a turning point in how we interact with the internet.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

Tata Consultancy Services (TCS), a global leader in IT services, consulting, and business solutions, operating a Global Delivery Centre in Letterkenny, Ireland, has partnered with Qualcomm to set up the 'TCS Innovation Lab', a space for co-innovation with Qualcomm in Bengaluru, India. TCS and Qualcomm will co-create smart, scalable, and sustainable Edge AI capabilities utilising Qualcomm platforms for industries moving towards a software-driven approach to make their systems more efficient and resilient in the lab. The co-innovation lab will enable the creation of customised low-cost solutions that can be deployed on intelligent devices, on location and in real time to streamline processes at large enterprises. Located in India's start-up and innovation capital, Bengaluru, the lab will be part of the IoT-focused Bringing Life to Things Network lab. The lab, which is equipped with 5G private network infrastructure and other hi-tech network and equipment, will develop capabilities for sectors that need agile IoT solutions, such as security and surveillance, healthcare, smart infrastructure, and manufacturing. With its strategic location and advanced infrastructure, the lab is designed to support the rapid prototyping, experimentation, and large-scale implementation of Edge AI capabilities built on a Software Defined Everything (SDx) approach. Savi Soin, Sr. Vice President & President, Qualcomm India, said, "Our collaboration with TCS marks an important step in bringing practical, real-time Edge AI solutions to industries that are rapidly evolving. The TCS Innovation Lab will serve as a space where advanced AI and connectivity meet real-world challenges. Together, we aim to develop solutions that are cost-effective, efficient, scalable, and tailored to the needs of enterprises looking to modernise and grow in a software-defined world." Enterprises across sectors need to develop and deploy intelligent devices that can autonomously make decisions to run processes efficiently, creating a rise in demand for smart, compact, energy-efficient and high-performance self-healing devices. TCS shall leverage advanced Edge AI and SDx capabilities that are hardware-agnostic, highly configurable, secure, and service-oriented. These will help global enterprises build robust, agile systems that adapt quickly to changes in industry ecosystems and business processes. The proposed solutions shall find applications in medical devices, smart handhelds for controlling industrial processes and machinery, smart infrastructure and advanced safety and surveillance mechanisms. Running TCS' SDx capabilities on Qualcomm Technologies' Edge AI-enabled System-on-Chips will connect the physical and digital worlds more seamlessly. V Rajanna, Business Group Head, Technology, Software and Services, TCS, said, "We are excited to announce the launch of a state-of-the-art co-innovation lab focused on advancing Software Defined Everything (SDx) and Edge AI platforms. This lab will drive the development of next-generation solutions for diverse applications - including intelligent medical devices, smart industrial handhelds, and advanced safety and surveillance systems. TCS remains committed to investing in innovation and harnessing the power of AI to help enterprises unlock greater agility, efficiency, and long-term business value." The latest collaboration between TCS and Qualcomm Technologies, Inc., builds on the large transformational projects carried out by both companies across engineering services, including silicon solution design and IT support. Leveraging this collaboration with Qualcomm Technologies, TCS recently developed a real-time smart visual anomaly detection capability for material inspection for a large automotive manufacturer. The NextGen approach processes live camera feeds to scan for surface defects for industrial, aerial and terrestrial inspections. It identifies even the tiniest imperfections on various surfaces, including steel and painted sur...

Edge AI has been hailed as the future of AI. However, it is yet to take off, and most of today's investment is directed towards cloud AI. Notwithstanding that, some green shoots are emerging. In the episode, I talk to Pete Bernard, CEO of the industry association, Edge AI Foundation, on the reasons behind the slow growth of Edge AI, the challenges the industry is facing, and what use cases and early segments are seeing traction. We also delve into the vision and mission of the foundation, exploring how it is helping the industry address challenges while harnessing opportunities, and what the future holds. 

Join me for episode 444 of the Mobile Tech Podcast with guests Adrian Mikolajczak (Infineon) and Carolina Milanesi (Creative Strategies) -- brought to you by Infineon. Today's episode comes in two parts. First, we explore edge AI, robotics, and quantum computing with Infineon. Second (21:15), we recap the Apple event and share our first impressions of the iPhone 17/17 Pro/17 Pro Max, iPhone Air, AirPods Pro 3, and Apple Watch SE 3/11/Ultra 3. Finally, we discuss Samsung, Lenovo, and TCL's latest devices, and cover news from Nothing, Xiaomi, Huawei, and Vivo... Phew!Episode Links- Support the podcast on Patreon: https://www.patreon.com/tnkgrl- Donate: https://tnkgrl.com/tnkgrl/- Infineon: https://www.infineon.com/event/oktobertech (sponsor)- Silicon Valley Innovation Center: https://svictechzone.vfairs.com/- Edge AI Video: https://www.youtube.com/watch?v=4Xn_iaqs6lM- Adrian Mikolajczak: https://www.linkedin.com/in/adrianmikolajczak/- Carolina Milanesi: https://www.threads.com/@caro_milanesi- Carolina's recap of the Apple event: https://creativestrategies.com/research/slim-smart-integrated-the-real-story-of-apples-september-event/- New iPhones, Apple Watches, and AirPods Pro hands-on: https://www.youtube.com/watch?v=idEAABFzpfg- Nothing ear(3) coming Sept 18: https://www.gsmarena.com/this_is_what_the_nothing_ear_3_looks_like-news-69458.php- Xiaomi 15T series coming Sept 24: https://www.gsmarena.com/xiaomi_15t_and_15t_pro_launch_date_is_official-news-69401.php- Samsung Galaxy Tab S11 series: https://www.gsmarena.com/samsung_galaxy_tab_s11_and_galaxy_tab_s11_ultra_debut-news-69338.php- Samsung Galaxy S25 FE: https://www.gsmarena.com/samsung_galaxy_s25_fe_announced_with_exynos_2400_soc_triple_rear_cameras-news-69335.php- Lenovo Legion Go 2: https://www.gsmarena.com/lenovo_legion_go_2_announced_with_up_to_amd_ryzen_z2_processor_74whr_battery-news-69380.php- Huawei Mate XTs tri-fold: https://www.gsmarena.com/huawei_mate_xts_announced_with_kirin_9020_and_updated_40mp_ultrawide_cam-news-69347.php- Vivo X300 series design teased: https://www.gsmarena.com/vivo_x300_series_camera_bump_compared_to_iphone_17_pro-news-69428.php- TCL NxtPaper 60 Ultra: https://www.gsmarena.com/tcl_nxtpaper_60_ultra_debuts_with_72_nxtpaper_40_display_stylus_support_and_a_50mp_telephoto_-news-69343.phpAffiliate Links (If you use these links to buy something, we might earn a commission)- Samsung Galaxy Tab S11 Ultra: https://amzn.to/4mcfWw9- Samsung Galaxy Tab S11: https://amzn.to/42t1iJV- Samsung Galaxy S25 FE: https://amzn.to/47JVv6q- Lenovo Legion Go S: https://amzn.to/46yiWyl- TCL NxtPaper 60 XE: https://amzn.to/4nromkd

In this episode of the Electropages Podcast, we explore how ARM is shaping the future of IoT, embedded systems, and edge AI. Learn how ARM's microcontrollers, processors, and AI accelerators are enabling faster, smarter, and more power-efficient devices across industries. Joining us is Paul Williamson, SVP and GM of IoT at ARM, who shares insights from the front lines of architecture innovation, developer ecosystem growth, and AI enablement at the edge. We cover: How ARM Cortex-M and Cortex-A cores are used in modern IoT devices Why developers choose ARM for embedded software and real-time systems How edge AI is transforming robotics, industrial automation, and consumer electronics The role of the ARM Ethos-U processor family in AI inference acceleration Why Python, embedded Linux, and microcontroller performance are changing how we build edge systems  Whether you're an embedded developer, hardware engineer, or working with AI at the edge, this conversation offers deep technical insight into one of the most important architectures in the world.

In this episode of Project Synapse, the team delves into a plethora of AI tools and technologies, rekindling their original playful approach to understanding AI's latest advancements. Marcel Gagner takes the lead, showcasing various tools like Google's Nano Banana, Gemini 2.5 Image Generator, and the emergent Genie 3, among others. The discussion highlights real-world physics, world models, and interactive environments. They also explore the use of voice cloning and digital twins with Heygen, and music generation with Suno. The episode emphasizes the importance of educating, monitoring, and involving oneself in AI technology, particularly for parents with children interacting with AI systems. 00:00 Introduction to Project Synapse 00:50 Meet Marcel Gagner 02:33 AI Tools and Subscriptions 08:38 Exploring Google's Gemini 10:43 Creating Custom Images and Videos 32:31 Storybook Creation with AI 41:12 The Importance of Monitoring Kids' AI Usage 41:51 Parental Involvement and AI Risks 45:50 AI and Music Generation Tools 49:45 Creating Personalized AI Content 54:01 Exploring Advanced AI Tools and Ethics 56:25 The Future of AI in Creative Fields 59:34 Interactive AI Worlds and Final Thoughts

On today's episode of LaunchPod AI, we're talking with Joel Polanco, Senior Hardware Product Manager at Intel's Edge Computing Group. He's led dozens of enterprise AI edge deployments and knows exactly what it takes to run AI models locally at scale. In this episode, we discuss: Why AI at the edge will cause a whole new wave of disruption across multiple industries Why moving AI to the edge slashes costs and levels up customer experience And real-world examples of edge AI deployments Joel has seen - from IT assistants to agents that restock store shelves from a single photo Links LinkedIn: https://www.linkedin.com/in/jpolanco/ Intel: https://www.intel.com/content/www/us/en/homepage.html Joel's PM articles on the LogRocket blog: https://blog.logrocket.com/author/joelpolanco/ Chapters 00:00 Introduction 03:32 Retail Applications of Edge AI 04:57 Cost and Implementation Considerations 06:18 Real-World Use Cases and Challenges 12:00 Future of AI and Edge Computing 30:42 Practical Advice for Product Executives 33:46 Conclusion Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPodPodcast)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Joel Polanco.

Phil Seboa and Ed Fuentes sit down with Melvin Francis, a research-driven engineer and technical marketing leader at BE Services, for a packed conversation on the realities of real-time industrial automation, edge AI, and the technical leaps powering Industry 4.0. Melvin shares his hands-on journey from developing open-source real-time Ethernet protocols in India to driving innovation in Germany's advanced manufacturing sector.This episode covers the critical distinction between real-time performance and speed in OT environments, the impact of edge AI on traditional cloud models, and the emerging value of time-sensitive networking (TSN) for seamless integration of IT and OT data flows. Melvin offers firsthand anecdotes, technical clarity, and live walkthroughs—including a look at BE Services' AIoT edge solution—while discussing practical approaches for modernizing brownfield systems, achieving high-precision motion control, and bridging the skills gap in industrial digitalization. Perfect for engineers, automation leaders, and anyone seeking a practical perspective on the challenges and opportunities of modern industrial networks.Connect with Melvin on LinkedIn: https://www.linkedin.com/in/melvin-francis/Connect with Phil on LinkedIn:https://www.linkedin.com/in/phil-seboa/Connect with Ed on LinkedIn: https://www.linkedin.com/in/ed-fuentes-2046121a/About Industry Sage Media:Industry Sage Media is your backstage pass to industry experts and the conversations that are shaping the future of the manufacturing industry.Learn more at: http://www.industrysagemedia.com

In this cutting-edge episode, we explore how Edge AI is transforming drug discovery and revolutionising laboratory workflows, real-time molecular analysis, and protein folding predictions—all at the source of data collection. Joining us is Nuri Cankaya, Vice President of Commercial Marketing at Intel Corporation, and a renowned thought leader in AI and healthcare innovation.You'll discover how AI at the edge—enabled by on-device NPUs, GPUs, and CPUs—is unlocking privacy-preserving, high-performance computing in the most sensitive environments, such as clinical labs and pharmaceutical R&D centers. Nuri shares his deep experience in AI, discusses hardware configurations for edge deployments, and provides real-world examples of AI accelerating high-throughput screening, compound discovery, and target validation.Key Topics:What is Edge AI and how it differs from cloud-based AIHow real-time AI in the lab enables faster, cheaper drug discoveryHardware requirements: NPU, GPU, CPU integration for edge computingThe role of AlphaFold and protein folding prediction in therapeutic developmentUse cases in molecular screening, genomics, and clinical trial simulationsHow Edge AI preserves data privacy and complies with GDPR and HIPAAPredictions for AGI (Artificial General Intelligence) and Quantum Computing in healthcareStrategic advice for pharma leaders and biotech innovators looking to pilot AIThe energy efficiency and sustainability gains from Edge AI vs. cloud AIAbout the PodcastAI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.This show brings together leading experts and changemakers to demystify AI and show how it's being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI's role in social good, this podcast offers valuable insights.AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget. As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses. This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more. Dr. Andree Bates LinkedIn | Facebook | Twitter

IoT isn't a buzzword anymore. It's business. Wienke Giezeman built The Things Industries from scratch. Now he's managing 3 million connected devices globally. $4M in annual revenue. And he did it by breaking every Silicon Valley rule. No "winner takes all" mentality. Pure collaboration. This episode cuts through the IoT hype cycle. Wienke reveals why most IoT projects failed. How his company survived when others didn't. And why sharing your IP actually grows the market. Real talk on scaling hardware. Building communities. Making AI work with IoT data. From cattle tracking to vape detection in school bathrooms. From forest fire sensors to toilet paper dispensers. The use cases that actually make money. Plus: Why the next wave of IoT growth is coming. And how startups can avoid the graveyard. Timestamps: 00:00 Introduction and Guest Welcome 00:13 Wienke Giezeman's Background and Company Overview 00:52 Early Days and Inspiration 01:34 Building a Global Network 02:08 Community and Collaboration 06:31 The Things Conference 09:22 Trends in IoT and AI Integration 15:12 Future Prospects and Reflections 25:10 Advice for IoT Startups 27:35 Conclusion and Final Thoughts Hit subscribe for more unfiltered tech insights. Rate us 5 stars if this episode delivered value. Connect with Wienke: https://www.linkedin.com/in/wienke/ The Things Network: https://www.thethingsnetwork.org/ The Things Industries: https://www.thethingsindustries.com/ The Things Conference: https://www.thethingsconference.com/ 23-24 September 2025, Amsterdam

STMicroelectronics is a Strategic Leader Sponsor of the Edge AI Foundation, a community of researchers, developers, business leaders, and policymakers committed to advance edge AI across sectors.

Sek Chai, CTO and cofounder of Latent AI, joins The Tech Trek to talk about what it actually takes to get AI running on the edge. We explore the real-world constraints of power, compute, and hardware diversity, why an agent-assisted workflow can accelerate MLOps, and how to choose models that are good enough to ship. Sek also breaks down lessons from selling into the federal market and explains why a clear guiding principle beats chasing every shiny opportunity.Key TakeawaysEdge AI is a different game than the cloud. Power limits, hardware diversity, and deployment realities have to shape the design from day one.The best model is the smallest one that delivers the capability and latency you need. Bigger isn't always better.An AI agent that understands your data, model, and hardware personas can move teams from idea to deployment much faster.Whether you're selling to federal or commercial buyers, lead with capability, then meet security and compliance needs.A strong tenet should guide product direction and market focus more than raw market size.Timestamped Highlights00:30 Why edge optimization matters and what Latent AI does01:09 The messy reality of heterogeneity and power constraints in edge deployments02:54 Why most edge AI projects never ship and how an agent can change that05:03 Mapping MLOps personas and tailoring the workflow for each11:49 Selling to both federal and commercial buyers without losing focus15:55 Building a company around a tenet rather than chasing every marketQuote of the Episode“It's not the model that you're really chasing after. It's that capability.”Pro TipsDefine capability and constraints first—latency, frame rate, and power budget—then pick and optimize the model.Collect and use telemetry from experiments and deployments to guide model and hardware choices.If federal markets are in play, bake security and compliance into your early prototypes.Call to ActionEnjoyed this episode? Follow The Tech Trek, rate us on Apple or Spotify, and share it with someone working on an edge AI project.

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We put Microsoft's AI-powered browser to the test and discover if it truly changes the way we navigate the web. Our findings reveal what's impressive, what's lacking, and what's next.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

This discussion focuses on Microsoft Edge's new AI capabilities. This could be a turning point in how we interact with the internet.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

Live hands on use cases I found testing out the new Microsoft Edge AI Browser.Try AI Box: https://aibox.ai

What if the biggest challenge in AI isn't how fast chips can compute, but how quickly data can move? In this episode of Eye on AI, Nandan Nayampally, Chief Commercial Officer at Baya Systems, shares how the next era of computing is being shaped by smarter architecture, not just raw processing power. With experience leading teams at ARM, Amazon Alexa, and BrainChip, Nandan brings a rare perspective on how modern chip design is evolving. We dive into the world of chiplets, network-on-chip (NoC) technology, silicon photonics, and neuromorphic computing. Nandan explains why the traditional path of scaling transistors is no longer enough, and how Baya Systems is solving the real bottlenecks in AI hardware through efficient data movement and modular design. From punch cards to AGI, this conversation maps the full arc of computing innovation. If you want to understand how to build hardware for the future of AI, this episode is a must-listen. Subscribe to Eye on AI for more conversations on the future of artificial intelligence and system design. Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Why AI's Bottleneck Is Data Movement (01:26) Nandan's Background and Semiconductor Career (03:06) What Baya Systems Does: Network-on-Chip + Software (08:40) A Brief History of Computing: From Punch Cards to AGI (11:47) Silicon Photonics and the Evolution of Data Transfer (20:04) How Baya Is Solving Real AI Hardware Challenges (22:13) Understanding CPUs, GPUs, and NPUs in AI Workloads (24:09) Building Efficient Chips: Cost, Speed, and Customization (27:17) Performance, Power, and Area (PPA) in Chip Design (30:55) Partnering to Build Next-Gen Photonic and Copper Systems (32:29) Why Moore's Law Has Slowed and What Comes Next (34:49) Wafer-Scale vs Traditional Die: Where Baya Fits In (36:10) Chiplet Stacking and Composability Explained (39:44) The Future of On-Chip Networking (41:10) Neuromorphic Computing: Energy-Efficient AI (43:02) Edge AI, Small Models, and Structured State Spaces

AGNTCY - Unlock agents at scale with an open Internet of Agents. Visit https://agntcy.org/ and add your support.     How AI Is Transforming the Physical World | Samsara's Vision for the Future of Operations   In this episode of Eye on AI, Craig Smith sits down with Kiren Sekar, Chief Product Officer at Samsara, to explore how AI, edge computing, and IoT are revolutionizing the world of physical operations - from fleets and factories to farms and field teams.   Samsara has quietly become the digital backbone for thousands of frontline businesses, collecting trillions of data points across vehicles, tools, and teams. Kiren explains how they're building AI-powered systems that don't just collect data, they deliver real-time safety alerts, optimize routes, track fuel efficiency, and even coach drivers automatically.   Whether you work in tech, operations, or AI, this episode shows how AI is finally meeting the real world.   Check our Samsara, AI Build for Physical Operations: https://www.samsara.com/   Stay Updated: Craig Smith on X:https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Preview (02:01) Kiren Sekar's Background and Why Samsara Was Founded (06:38) The Real-World Impact of Samsara's AI Systems (09:04) What Changed After Samsara Went Public (11:09) How Samsara Gives Businesses Visibility Into Operations (13:08) The Hardware and Cellular Network Powering Samsara (14:13) AI to Detect Driving Risks (23:13) Tracking Every Asset: From Cranes to Toolkits (25:20) Why Even Mid-Sized Companies Can Use Samsara Easily (27:25) Regional Dashboards and AI Insights for Executives (29:57) How Samsara Decides Where to Apply AI (32:54) Can AI Read Handwritten Forms? (35:31) The AI Models Samsara Uses (39:21) What Samsara Processes at the Edge vs in the Cloud (43:00) Why Samsara Keeps Its R&D Team Small and Fast (46:35) Why Legacy Industries Are Finally Adopting AI (49:12) What Agentic AI Workflows Look Like at Samsara (54:53) What's Next: AI Voice Assistants for Field Worker  

Join Nataraj as he interviews Rish, the co-founder and CEO of Greyparrot, a company leveraging AI to revolutionize the recycling industry. Rish shares his journey from augmented reality to AI-powered waste management, detailing the challenges and opportunities in this space. Discover how Greyparrot's innovative technology brings transparency and efficiency to recycling, impacting the circular economy and creating a more sustainable future. Learn how AI can transform waste into a valuable resource.What you'll learnUnderstand how AI-powered waste analytics are bringing transparency and efficiency to the recycling industry.Discover the challenges and opportunities in building AI solutions for large-scale waste management.Learn how Greyparrot is using computer vision to analyze and sort waste more effectively than traditional methods.Explore the impact of AI technologies on promoting and advancing the circular economy on a global scale.Gain insights into the architectural and structural issues specific to deploying AI in the waste management sector.Discover how strategic partnerships can help scale a business in the waste management and recycling industry.Understand the roles of manufacturers, governments, waste management, and consumers in creating a circular economy.About the Guest and Host:Rish: Co-founder and CEO of Greyparrot, using AI-powered waste analytics to revolutionize the recycling industry.Connect with Rish:→ LinkedIn: https://www.linkedin.com/in/ambarishmitra/→ Website: https://www.greyparrot.ai/Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor.→ LinkedIn: https://www.linkedin.com/in/natarajsindam/→ Substack: ⁠https://startupproject.substack.com/⁠In this episode, we cover(00:00) Introduction and Guest Introduction(00:49) The Origin Story of Greyparrot and its mission(02:23) From Visual Search to Waste Intelligence: The Pivotal Moment(04:58) Defining Greyparrot as a Material Asset Recovery Company(05:15) How Greyparrot's Analyzers Optimize Waste Sorting at Material Recovery Facilities (MRFs)(07:44) Integrating AI Brains into Mechanical Waste Management Plants(09:28) Architectural Challenges of Deploying AI in Waste Management(12:46) Building a Scalable AI Solution for Diverse Waste Management Plants(15:39) Deep Dive into Processing Images and Data Locally with On-Camera Computing(20:02) Brands leveraging waste data for packaging R&D and sustainability(21:52) Customer Acquisition strategies(28:07) Scale of business(30:01) Contrasting Waste Management in Developed vs. Developing Economies(35:13) China's role in global waste management(37:03) Diverting waste streams(39:57) The key components responsible for circular economyDon't forget to subscribe and leave us a review/comment on YouTube Apple Spotify or wherever you listen to podcasts.#StartupProject #GreyParrot #AI #WasteManagement #Recycling #CircularEconomy #Sustainability #Innovation #DeepLearning #ComputerVision #MaterialRecovery #Tech #Environment #Podcast #Entrepreneurship #Startup #RecyclingTech #WasteAnalytics #AIforGood #GreenTech

This week on Cloud Unplugged: AI goes local, Google Cloud breaks the internet, and the DOJ turns up the heat on Google's $32B Wiz acquisition.We're breaking down the biggest stories in cloud and AI:Context & Qualcomm are teaming up to move AI agents off the cloud and onto your device. What does this mean for the future of local-first AI?A major Google Cloud outage caused chaos across Cloudflare, Shopify, and Discord. We explain what went wrong and what it tells us about the risks of centralised cloud infrastructure.The DOJ is investigating Google's acquisition of Wiz, raising questions about cloud security competition and antitrust concerns.Plus: Andrej Karpathy's Software 3.0 vision, is natural language the new programming interface?Hosted by Lewis and Jon, two cloud-native veterans covering the real stories behind the hype in cloud, AI, and dev infrastructure.

In our latest Electronic Specifier Insights podcast, Managing Editor Paige West speaks with Hussein Osman, Marketing Director, Lattice Semiconductor,  all about optimising Edge AI with low-power FPGAs.

Edge AI is evolving fast - but how do we accelerate the path from development to deployment, and get real products into users' hands sooner? Welcome to the Edge of Tomorrow - The Edge AI Debate, our brand new spin off series on The IoT Podcast in collaboration with the ‪ @edgeaifoundation  bringing together the leading minds in Edge AI for debates and discussions on the biggest challenges, opportunities, and emerging trends shaping the future of Edge AI. In this episode, host Pete Bernard (CEO, EDGE AI FOUNDATION) sits down with Rajesh Subramaniam (Founder & CEO at EmbedUR Systems) and Reza Kazerounian (Founder & President at Alif Semiconductor) to tackle one of the most pressing questions in the space:How do we accelerate getting Edge AI products to users - and close the gap between innovation and deployment? From chip design to software pipelines, product cycles to killer apps, this episode dives deep into the real-world friction between building cutting-edge Edge AI and actually commercialising it. Expect thoughts on...

June 24, 2025 - Assemblymember Alex Bores, a Manhattan Democrat, discusses his legislation putting guardrails on cutting-edge artificial intelligence research and explains how the measure was curtailed during the amendment process. He also talks about unfinished business from the legislative session, weighs in on the movie Mountainhead, and considers the status of Empire AI.

Join Can Gurel as he hosts Harry Dewhirst, co-founder and CEO of 375ai, to discuss their ambitious real-world application of DePIN. Learn how they're building a decentralized network of sensors to capture and monetize physical data at scale.375ai: https://www.375.ai/

Meta is going straight superintelligent? OpenAI and Google are teaming up? And Microsoft might kill tutorials? The big AI dogs are at it again, making some head-turning moves in the AI space. Don't get left behind. Join us on Mondays for our AI News That Matters segment. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI & Google Cloud PartnershipMeta's $14B AI Superintelligence BetDisney & Universal vs. Midjourney LawsuitApple's AI Translation Across DevicesOpenAI Expands GPT Projects & FeaturesMicrosoft Updates Copilot Vision ToolsAmazon's AI Video Tool for SellersMeta AI App Privacy ControversyTimestamps:00:00 AI Insights: This Week's Headlines04:28 ChatGPT Project Features Update08:42 AI Wednesdays: Updates and Insights11:57 Meta's $14B Superintelligence Investment15:24 Meta's Acquisition of Scale AI17:31 OpenAI Partners with Google Cloud22:41 Apple Translation Integration Delayed26:00 Third-Party AI to Improve Siri30:43 Microsoft Copilot's Quiet Feature Updates33:40 Amazon Enhances AI for Ads37:34 Copyright Lawsuit: Midjourney vs. Studios41:43 OpenAI O3 Pro: Accuracy Over Speed45:54 AI News & Events Week PreviewKeywords:OpenAI, Google Cloud, Meta, superintelligence, Scale AI, $14 billion investment, artificial superintelligence, Midjourney, Disney lawsuit, Universal lawsuit, AI copyright issues, Microsoft Copilot Vision, Copilot AI updates, real-time AI assistance, AI-powered video generator, Amazon video tools, chat GPT projects, GPTs, AI compute, Tensor Processing Units, regulatory scrutiny, AI market competition, OpenAI revenue, O3 Pro model, ChatGPT Pro, AI reasoning models, voice mode, Apple WWDC, AI translation, Edge AI, cloud infrastructure, Meta AI assistant, Apple AI struggles, Siri upgrade, AI legal battle, OpenAI and Google partnership, Meta's AI investment, $10 billion annual revenue, personal data privacy, Meta privacy concerns, AI model updates.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

"We're not just enabling secure outcomes — we're simplifying how partners deliver them." — Brian Feeney, VP of Global Partner Security Sales, Cisco At Cisco Live 2025 in San Diego, Technology Reseller News publisher Doug Green sat down with Brian Feeney, Vice President of Global Partner Security Sales at Cisco, to explore how the company is aligning security innovation with real-world partner needs in an era dominated by AI and complexity. Feeney, whose two-year-old role was created to consolidate and scale Cisco's global partner strategy for security, leads a team of over 260 professionals dedicated to helping Cisco's VARs, MSPs, MSSPs, cloud providers, and global partners navigate a rapidly evolving cybersecurity landscape. Cisco's Three-Pillar Security Strategy: Hybrid Mesh Firewall Universal ZTNA (Zero Trust Network Access) The SOC of the Future (with Splunk Integration) All three areas are now AI-infused by design, not bolted on — a shift exemplified by Cisco's autonomous firewall assistant, which reduces human effort while improving policy execution. Key Cisco Live Announcements: Free Splunk ingestion for Cisco firewall customers, addressing cost concerns and earning applause during the keynote. Streamlined portfolio: Cisco has consolidated 30+ point products into 3 strategic solution sets — user, breach, and cloud — dramatically simplifying the sales and adoption process for partners. Enhanced partner support tools like a “concierge deal registration desk” — offering one-click access to technical, sales, and promotional resources. “This isn't about selling more SKUs,” Feeney said. “It's about helping partners win with less complexity, more margin, and stronger customer outcomes.” Feeney emphasized Cisco's commitment to AI enablement, noting that while only 4% of enterprises are “AI-ready,” partner demand for both securing AI infrastructure and leveraging AI for defense is surging. Cisco is delivering: Expert-led deep dives for top AI-focused partners Scalable enablement through Talos threat intel, learning platforms, and continuous updates AI integrated throughout the security stack — from SOC automation to endpoint visibility The interview concluded with Feeney highlighting Cisco's investment in making security more accessible, operationally efficient, and partner-friendly, even for small or emerging partners. “We want to be the voice and the resource our security partners trust — not just with technology, but with outcomes.” To learn more, visit cisco.com/security.

In EVN Report's news roundup for the week of June 13: Armenia condemns attack on Iran, urges calm; a $500 million public-private partnership to build cutting-edge AI infrastructure in Armenia is unveiled by Firebird, the Armenian Government and NVIDIA; gas explosion in Gegharkunik kills five, injures over a dozen and more.

Dan is joined by Moshe Sheier, Ceva's vice president of marketing. Moshe brings with him more than 20 years of experience in the semiconductor IP and chip industries in both development and managerial roles. Prior to this position, Mr. Sheier was the director of strategic marketing at Ceva. Dan explores the history of Ceva with … Read More

Welcome and Introduction- Will Townsend welcomes Shahid Ahmed, who leads NTT DATA's private 5G initiatives- Discussion of Shahid's role in New Ventures and Innovation at NTT DATAPrivate 5G Momentum in 2025- Identification of 2025 as a pivotal year for private cellular and 5G adoption- Three major forces driving demand: device availability, spectrum allocation, and improved economicsDevice Ecosystem Development- Progress in natively supported 5G devices for enterprises- Impact on deployment timelines and customer readinessSpectrum Availability Challenges- Regulatory hurdles in spectrum allocation across different geographies- Recent improvements in spectrum accessibility for enterprisesEconomics of Private 5G- Shift towards "Wi-Fi economics" for private 5G deployments- Cost comparisons between Wi-Fi and 5G implementations in large-scale environmentsEdge AI and Agentic AI in 5G Networks- Distinction between Edge AI and large language models- Applications of Edge AI in manufacturing and autonomous systems- Role of Agentic AI in business process workflowsFactory of the Future Concept- NTT DATA's focus on enabling advanced manufacturing environments- Integration of robotics, automation, and connectivity in dark factoriesConvergence of Wireless Technologies- Emerging integration of 5G and Wi-Fi on single radio platforms- Implications for seamless connectivity in various settingsSecurity Challenges in Network Transformation- Increased security concerns with automation and IP network integration- Ongoing nature of security challenges in modernized infrastructuresNTT DATA's Comprehensive Service Offerings- NTT DATA's position as a major data center service provider- Private 5G as an entry point for broader network architecture transformationPartnership Highlights- Collaboration with Cisco, including ESIM integration in Meraki and Catalyst products- Simplification of device provisioning and configuration processes

Wondering how AI can fix what's broken in the renovation process? In this episode of The Dickie & Donny Show, BOP Business Coaches Shawn “Dickie” Stinson and Brandon “Donny” Gray talk with Melissa Wood, Founder and CEO of FORMUS, about how AI is being used to solve real-world construction headaches. From streamlining pre-construction planning to cutting out non-productive tasks, Melissa shares how her platform—and its AI agent named SADIE—is bringing clarity, speed, and trust back to renovation projects. Listen now to see how modern tech is reshaping old-school construction—for good and on purpose. CONTACT INFO: Melissa Wood, Founder | CEO, FORMUS WEBSITE: formus.ai EMAIL: mwood@formus.ai INSTAGRAM: formus.ai Are you working IN your business or ON your business? Do you have all of the foundational elements that will liberate you from the business chaos? Take the assessment to find out which areas you can grow and improve on. Take our Healthy Owner Business Assessment HERE➡️ http://mybusinessonpurpose.com/healthy SIGN UP for our Newsletter HERE ➡️ https://www.boproadmap.com/newsletter For blogs and updates, visit our site HERE ➡️ https://www.mybusinessonpurpose.com/blog/ LISTEN to the Business On Purpose Podcast HERE ➡️ https://podcasts.apple.com/us/podcast/my-business-on-purpose/id969222210 SUBSCRIBE to our YouTube channel HERE ➡️ https://www.youtube.com/channel/UCbPR8lTHY0ay4c0iqncOztg?sub_confirmation=1

Google just dropped like 3 years of AI updates on us in 3 hours.

Are you a CIO, CTO, CISO, or IT decision maker in the restaurant or retail industry, grappling with rising costs and tariffs to keep up with the rapid pace of technological change? The pressure to create high-quality solutions with AI while managing existing infrastructure can be challenging.In this episode of the Tech Transformed Podcast, Shubhangi Dua, podcast host and producer at EM360Tech sits down with Keith Szot, SVP Chief Evangelist at Esper, to talk about how enterprises can extend the lifespan of their current edge devices. They also discuss how such enterprises can easily integrate Edge AI solutions without a complete hardware overhaul."Starting out with IT Ops is a tough endeavor. If you are running revenue producing key business operating systems that are out in the field, it's not an easy job,” stated Szot. “With everything that's going on these days, it's not getting any easier. Now, considering tariffs, the impact of AI in terms of how you look at your hardware refresh cycle, it's really tough.”‘Android is the key'Specifically alluding to edge devices in restaurant and retail, Szot reflecting on the limitations of traditional operating systems says Android is the key. "If you look at the ISV and the solution provider community, the best and latest solutions for these markets are built on Android.”“You look at enterprise developers, if you're developing in-house, arguably it's a lot easier to find an Android developer and build a team to focus on creating Android applications than it is in Windows,” he added. “Android is the biggest developer ecosystem in the world in the history of humankind.Unlike operating systems tied to rapid consumer hardware upgrades, Android offers the flexibility of an open-source project. It allows for greater control over updates and longevity. Szot believes that the Android UX is more intuitive. He says that people use phones all the time. “And even if you're an iOS user, the paradigm, if you go to Android, still has a familiarity where the bar to understand how to use the software in the device arguably is lower." This minimises training needs and improves operational efficiency.In a nutshell, the conversation touches on extending hardware lifecycles for edge devices in the restaurant and retail industry, primarily through the Android flip, to enable the integration of AI at the edge and prepare for future trends like robotics and 5G.Key Takeaways Extending hardware lifecycles is crucial for cost management.Android is becoming the preferred OS for enterprise solutions.AI can enhance customer experiences in retail environments.Robust hardware design is essential for longevity.Transitioning from Windows to Android can save costs.Edge AI allows for on-premise processing without latency issues.Physical AI will revolutionize the retail and restaurant sectors.Quantum computing poses both opportunities and challenges for security.Device management is key to maintaining operational efficiency.Innovative hardware designs will create new customer experiences.Chapters00:00 Introduction to Edge Devices and AI03:12 Extending Hardware Lifecycles in Retail06:06 Transitioning from Windows to Android08:56 Practical Applications of Edge AI11:47 AI Integration in Restaurant Kiosks14:55 Managing Existing Hardware with Software Solutions18:01 The

Send us a textWelcome to IoT Coffee Talk #246 where we have a chat about all things #IoT over a cup of coffee or two with some of the industry's leading business minds, thought leaders and technologists in a totally unscripted, organic format. Thanks for joining us. Sit back with a cup of Joe and enjoy the morning banter.This week, Pete, Tom, David, Bill, Debbie, Rob, and Leonard jump on Web3 to talk about:THE WORST KARAOKE! "Anyway You Want It", JourneyAI fatigue - Too much DeepSeek nonsense!All Chinese tech denial leads to a whining road to D.C.The great AI hypocrisyHow to build LLMs and 1.5 trillion parameter MoEs out of coconutsThe Week of DeepSeek - Dazed and ConfusedThe red AI pill or the blue AI pill - utopia or dystopia?The 3 Laws of Edge AIWhat does safe, reliable, trustworthy Edge AI look like?How to make your content LLM copyright protected - 80 percent nonsense ruleWhy IoT Coffee Talk doesn't fit in the attention span of 99.999 percent of humanityIt's a great episode. Grab an extraordinarily expensive latte at your local coffee shop and check out the whole thing. You will get all you need to survive another week in the world of IoT and greater tech!Thanks for listening to us! Watch episodes at http://iotcoffeetalk.com/. We support Elevate Our Kids to bridge the digital divide by bringing K-12 computing devices and connectivity to support kids' education in under-resourced communities. Please donate.

Is Perplexity going after..... Siri? Talk about a hard pivot. OpenAI and Google are racing for users.... who's winning? And will the U.S.'s effort on AI in education be too little, too late? We'll answer those questions and a ton more on our weekly news roundup show. Don't spend hours a day trying to keep up. Just join us (most) Mondays. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI Launches Lightweight Deep Research ToolDOJ Pushes Google Chrome BreakupMicrosoft 365 Copilot Spring 2025 UpdateAdobe Firefly Supports Google, OpenAI ModelsMyPillow CEO's AI-Generated Legal TroubleOpenAI's Image Gen API for DevelopersU.S. President Signs AI Education OrderPerplexity AI Challenges Siri with Voice AssistantTimestamps:00:00 AI in Education, Adobe Partnerships05:52 "Premier Deep Research Tools: OpenAI & Google"07:35 DOJ Proposes Google Chrome Sale13:42 Adobe Expands AI Image Tools17:08 AI Missteps: Lindell's Legal Trouble18:43 Lindell's Legal AI Misstep22:25 OpenAI ImageGen API Overview28:27 AI Literacy Initiative Praised31:29 Microsoft Launches Controversial Recall Feature32:32 Improved Microsoft Search Enhancement Secured38:30 "Perplexity: Contextual AI Assistant Edge"41:22 "Perplexity's Crucial Pivot Needed"43:18 OpenAI's New Reasoning Language Model46:43 AI Usage Surges Amid OpenAI Speculation50:54 Tech Updates: AI Expansions & Legal IssuesKeywords:OpenAI, Lightweight deep research tool, chat GPT, Free users, Paid users, Deep research queries, O four mini model, Google, Gemini 2.5, Perplexity, Deep research, Adobe, Firefly AI, Competitors, Image generation, Microsoft, Copilot, AI features, MyPillow, Legal citations, AI-generated court filings, ImageGen, API access, Creative work, US president Trump, Executive order, AI education, Microsoft 365, Recall feature, Copilot plus PCs, Perplexity AI, Voice assistant, Siri competitor, Open reasoning language model, Llama, Open weights, Meta, Text in/text out, DeepSeek, AI safety, Sam Altman, Edge AI, Multimodal models.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Send us a textStep into the future of hearing technology as Dave Fabry and Holly Schissel unveil Starkey's groundbreaking Edge AI platform and accessories that are revolutionizing the hearing experience. This fascinating deep dive showcases how cutting-edge innovation is removing barriers for people with hearing loss in ways previously unimaginable.At the heart of this conversation is Starkey's Deep Neural Network technology, delivering up to 13dB improvement in signal-to-noise ratio while maintaining all-day battery life—essentially turning a noisy restaurant into a comfortable listening environment. The duo explores their newest accessories: the Table Microphone with its sophisticated multi-array system for group settings, and the Remote Microphone+ that doubles as a hearing aid controller, eliminating the need for multiple devices.Perhaps most exciting is the discussion around Auracast technology, the future of wireless audio connectivity. Imagine receiving airport announcements, museum audio tours, or television audio directly through your hearing aids without additional equipment. This Bluetooth-on-steroids technology will transform accessibility in public spaces, not just for hearing aid users but anyone using compatible devices.The conversation highlights Starkey's philosophy of fitting both the hearing loss and the lifestyle—recognizing that even the best hearing aids sometimes need accessories for optimal performance in challenging environments. With Edge Mode Automatic, users can engage enhanced settings for difficult listening situations that automatically adjust as environments change, providing a seamless, intuitive experience.Ready to experience hearing technology that adapts to your life instead of the other way around? Discover how these innovations can transform connections to loved ones, workplace environments, and everyday experiences with unprecedented clarity and convenience. Connect with the Hearing Matters Podcast TeamEmail: hearingmatterspodcast@gmail.com Instagram: @hearing_matters_podcast Twitter: @hearing_mattasFacebook: Hearing Matters Podcast

April 3, 2025 - Assemblymember Alex Bores has proposed safeguards on the most cutting edge developments of artificial intelligence technology, but the tech industry is pushing back on this type of government regulations. We hear some of those concerns from Todd O'Boyle, vice president of technology policy at the Chamber of Progress.

OpenMV has a new Kickstarter so CEO Kwabena Agyeman chatted with us about more powerful (and smaller!) programmable cameras.  See OpenMV's site for their existing cameras. See their (already funded!) kickstarter page for the super powerful N6 and the ridiculously small AE3. Note that OpenMV still is committed to open source. See their github if you want to know more. Edge AI is the idea of putting intelligence in the devices (instead of in the cloud). There is an advocacy and education foundation called Edge AI Foundation. This organization was formerly the TinyML Foundation. Edge Impulse and Roboflow are companies that aid in creating and training AI models that can be put on devices.  ARM talks about their Ethos-U55 NPU (and how to write software for it). Transcript

In this episode of the IoT For All Podcast, Fabrizio Del Maffeo, co-founder and CEO of Axelera AI, joins Ryan Chacon to discuss edge AI. The conversation covers the importance and benefits of edge AI, such as reduced latency, real-time decision-making, and enhanced privacy, optimizing algorithms and hardware design for edge devices, the potential of AI in various industries, the role of cloud computing, retrofitting existing solutions with AI, and the impact of generative AI.Fabrizio Del Maffeo is co-founder and CEO of Axelera AI, a Netherlands-based startup building scalable hardware for AI at the edge. Fabrizio leads a world-class executive team, board of directors, and advisors from top AI Fortune 500 companies. Previously, Fabrizio was Vice President and Managing Director of AAEON Technology Europe, the AI and IoT computing company within the ASUS Group. Fabrizio graduated with a Master's degree in telecommunication engineering from Milan Politecnico University.Axelera AI is on a mission to provide rapid access to advanced Edge AI-native hardware and software solutions for companies of all sizes across a range of market verticals and place AI in the hands of those who could not otherwise afford it. They do this by delivering faster, more efficient, and easy-to-use inference acceleration while minimizing power and cost. To do this, their platform is purpose-built to support AI strategies across a wide-range of industries while seamlessly integrating with existing technologies.Discover more about IoT athttps://www.iotforall.comFind IoT solutions:https://marketplace.iotforall.comMore about Axelera AI:https://www.axelera.aiConnect with Fabrizio:https://www.linkedin.com/in/delmaffeo/(00:00) Intro(00:10) Fabrizio Del Maffeo and Axelera AI(01:20) What is edge AI?(02:30) Benefits and challenges of edge computing(05:17) Privacy and compliance in edge AI(06:26) Future of edge computing and AI(08:18) Retrofitting existing edge devices with AI(11:02) Role of cloud computing(12:26) Impact of generative AI(15:24) Industry insights from recent events(17:11) Learn more and follow upSubscribe to the Channel:https://bit.ly/2NlcEwmJoin Our Newsletter:https://newsletter.iotforall.comFollow Us on Social:https://linktr.ee/iot4all

Send Everyday AI and Jordan a text messageDid Google dethrone OpenAI in December? Could Claude finally catch up? Or will ChatGPT reign supreme in the LLM race of 2025? We break down the LLM landscape in 2025. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. OpenAI's Dominance in LLM Space2. Shift Towards Smaller Language Models3. LLMs and Internet Connectivity4. OpenAI's Focus and Competition5. Popularity of Different AI Systems6. LLM Predictions and OutcomesTimestamps:00:00 Discussing future competition in AI development.02:20 Daily AI news08:49 Importance of large language models in daily life.10:31 Who will win AI race: OpenAI, Google, others?16:30 Focus will shift to business value in 2025.17:20 New AI models surpass human intelligence benchmarks.23:13 Chat GPT search frequently stuck in loop.26:06 OpenAI loses money, key staff, needs resources.27:51 Listen to WorkLab podcast for AI insights.30:54 ChatGPT dominates due to user interest.34:46 Google hid AI tech, affecting market value.38:03 ChatGPT's interface outpaces stagnant competitors' features.42:49 Locally run massive models, GPT advancements impressive.45:09 OpenAI excels in small language models locally.48:33 Google's groundbreaking December 2024 in AI technology.Keywords:OpenAI, ChatGPT, Google Trends, AI systems, Gemini, Perplexity, Claude, large language models, front-end dominance, internet connectivity, ChatGPT search, financial challenges, competition, AI strengths, user data, Microsoft WorkLab Podcast, model parameters, Meta, GPT-4, NVIDIA, small language models, Edge AI, AI race, Everyday AI podcast, Microsoft investment in India, Google DeepMind, NVIDIA RTX 50 series GPU, artificial intelligence, AI knowledge, reasoning models. Learn how work is changing on WorkLab, available wherever you get your podcasts.

Send Everyday AI and Jordan a text messageGoogle just dropped its 'Flash Thinking' reasoning model. Is it better than o1? ↳ Why is NVIDIA going small? ↳ And OpenAI announced its 03 mode. Why did it skip o2? ↳ ChatGPT's Advanced Voice Mode gets a ton of updates. What do they do?  Here's this week's AI News That Matters!Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on AIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Google AI Models and Updates2. ChatGPT Updates3. ChatGPT Advanced Voice Mode4. OpenAI's New Reasoning Model5. Salesforce AI Updates6. NVIDIA Jetson Orin Nano7. Meta's Ray-Ban Smart GlassesTimestamps:00:00 Daily AI news podcast and newsletter subscription.05:06 Gemini 2.0 Flash tops in LLM rankings.07:36 Ray Ban Meta Glasses: AI video, translation available.11:17 Salesforce hires humans to sell AI product.14:26 NVIDIA's Nano Super boosts AI performance, affordability.18:29 VO 2 excels with 4K quality physics videos.23:17 AI models can deceive by faking alignment.24:50 Anthropic study highlights AI system behavior variability.29:40 Google previews AI-mode search with chatbot features.32:38 Big publishers block access; tech must adapt.37:32 ChatGPT updates improve app integration functionality.|40:40 O Three models enhance AI task adoption.44:09 Current AI hasn't achieved AGI, needs tool use.45:52 O three model may achieve AGI, costly access.48:17 Share our AI content; support appreciated.Keywords:Google AI Mode, Gemini AI chatbot, refining searches, ChatGPT updates, OpenAI, AI integration in search engines, Salesforce AgentForce 2.0, Capgemini survey, AI security risks, NVIDIA Jetson Orin Nano, Edge AI, Google VO 2, video generation model, YouTube Shorts, AI alignment faking, Anthropic research, Google's Gemini 2.0 Flash Thinking, multimodal reasoning, Meta's Ray-Ban Smart Glasses, real-time language translation, Shazam integration, OpenAI 03 reasoning model, artificial general intelligence, ARC AGI benchmark, AI capabilities, high costs of AI, Google updates, Meta updates, Salesforce updates, NVIDIA updates. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/