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Predefined models offer a powerful starting point for understanding edge AI. However, Christopher shares how you can easily expand those capabilities by training and deploying your own models in Arduino App Lab through its native Edge Impulse integration.

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14,618 görüntüleme • 1 ay önce •via X (Twitter)

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The wait is over! Meet Arduino VENTUNO Q, where AI takes action. 💬 Run local LLMs like Qwen 3, Gemma 4, and Qwen 3 VLM directly on the board 🧠 NPU + CPU + GPU +MCU: Qualcomm Dragonwing IQ-8275 with up to 40 dense TOPS of AI performance and STM32H5 microcontroller for real-time control 🗄️ 16 GB RAM + 64 GB eMMC + expandable storage 🪁 Linux-powered, pre-loaded with Ubuntu OS + Zephyr RTOS 🛠️ Build AI faster using Arduino App Lab, Hugging Face, Edge Impulse, and Qualcomm AI Hub 💨 Move seamlessly from prototype to production through Works with Arduino Certification Program The first batch won’t last. Pre-order your VENTUNO Q with a free power supply and USB-C cable included! Get ready to enter a new era of Physical AI:
2:10

The wait is over! Meet Arduino VENTUNO Q, where AI takes action. 💬 Run local LLMs like Qwen 3, Gemma 4, and Qwen 3 VLM directly on the board 🧠 NPU + CPU + GPU +MCU: Qualcomm Dragonwing IQ-8275 with up to 40 dense TOPS of AI performance and STM32H5 microcontroller for real-time control 🗄️ 16 GB RAM + 64 GB eMMC + expandable storage 🪁 Linux-powered, pre-loaded with Ubuntu OS + Zephyr RTOS 🛠️ Build AI faster using Arduino App Lab, Hugging Face, Edge Impulse, and Qualcomm AI Hub 💨 Move seamlessly from prototype to production through Works with Arduino Certification Program The first batch won’t last. Pre-order your VENTUNO Q with a free power supply and USB-C cable included! Get ready to enter a new era of Physical AI:

Arduino

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Your data is your edge, but only if your AI is built on it. Rent a generic model and so can your competitor. The companies with an edge are deploying custom models that they own and improve over time. Our co-founder Rhythm Garg recently stopped by to share how companies are owning their intelligence with Applied Compute.
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Your data is your edge, but only if your AI is built on it. Rent a generic model and so can your competitor. The companies with an edge are deploying custom models that they own and improve over time. Our co-founder Rhythm Garg recently stopped by to share how companies are owning their intelligence with Applied Compute.

Applied Compute

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The new Arduino VENTUNO Q is here to redefine Edge AI! 🚀 Visit us at Booth H3-555 @ #embeddedworld to see it in action. 🧠 Qualcomm Dragonwing IQ-8275 with NPU, CPU and GPU that delivers up to 40 dense TOPS ⚡ 16 GB RAM, 64 GB eMMC + expandable M.2 NVME Gen.4 🤝 Compatible with Arduino App Lab 🤖 Ready-to-run local LLMs, local VLM, ASR, gesture recognition and more 🛠️ Supports Arduino UNO Shields, UNO Carriers, Raspberry Pi HATs 🌐 2.5 Gbit Ethernet, Wi-Fi 6, Bluetooth, CAN-FD ⚙️ ROS 2 compatibility Sign up for updates:
0:54

The new Arduino VENTUNO Q is here to redefine Edge AI! 🚀 Visit us at Booth H3-555 @ #embeddedworld to see it in action. 🧠 Qualcomm Dragonwing IQ-8275 with NPU, CPU and GPU that delivers up to 40 dense TOPS ⚡ 16 GB RAM, 64 GB eMMC + expandable M.2 NVME Gen.4 🤝 Compatible with Arduino App Lab 🤖 Ready-to-run local LLMs, local VLM, ASR, gesture recognition and more 🛠️ Supports Arduino UNO Shields, UNO Carriers, Raspberry Pi HATs 🌐 2.5 Gbit Ethernet, Wi-Fi 6, Bluetooth, CAN-FD ⚙️ ROS 2 compatibility Sign up for updates:

Arduino

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Start your engines… and your AI models!🚦 What an unforgettable day at Silverstone. 🏁 Hit play to hear from Arduino’s Stefano Implicito and Qualcomm's Julie Yamamoto as they look back on an incredible Arduino UNO Q workshop with Mission 44.
1:16

Start your engines… and your AI models!🚦 What an unforgettable day at Silverstone. 🏁 Hit play to hear from Arduino’s Stefano Implicito and Qualcomm's Julie Yamamoto as they look back on an incredible Arduino UNO Q workshop with Mission 44.

Arduino

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WOW! OPENAI DID IT! They released their first TWO open weights models! This is HUGE news for the entire AI industry. It means you can RIGHT NOW run cutting edge AI models locally on your computer Here's all the benefits and how to set up the models locally yourself:
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WOW! OPENAI DID IT! They released their first TWO open weights models! This is HUGE news for the entire AI industry. It means you can RIGHT NOW run cutting edge AI models locally on your computer Here's all the benefits and how to set up the models locally yourself:

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Training and deploying AI models just got a lot more affordable. 🏷️📉 With new price reductions for EC2 GPU instances, your AI workloads can go further without going over budget. Read more in our blog. 👉
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Training and deploying AI models just got a lot more affordable. 🏷️📉 With new price reductions for EC2 GPU instances, your AI workloads can go further without going over budget. Read more in our blog. 👉

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I'm creating a next generation vtuber app where you can have your own ai companions to stream with you. You can import your own models and put a description and turn them into an AI companion. The AI companions have their own animations depending on what's happening! (1/2) This model was provided by @MiyaMareena <3
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I'm creating a next generation vtuber app where you can have your own ai companions to stream with you. You can import your own models and put a description and turn them into an AI companion. The AI companions have their own animations depending on what's happening! (1/2) This model was provided by @MiyaMareena <3

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“AI MODELS COULD BECOME 10× SMALLER WITHOUT LOSING MOST OF THEIR INTELLIGENCE.” Mark Zuckerberg says one of the most powerful developments in AI is model distillation: taking the capabilities of a much larger model and transferring them into a much smaller one. - Meta's huge frontier models can serve as "teachers" for smaller models. - Zuckerberg says a model could potentially retain around 90–95% of the larger model's intelligence while being only ~10% of its size. - That means dramatically lower inference costs, memory requirements and computing power. - Developers can distill and customize these capabilities for their own applications. And that's where open-source models come into the picture.
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“AI MODELS COULD BECOME 10× SMALLER WITHOUT LOSING MOST OF THEIR INTELLIGENCE.” Mark Zuckerberg says one of the most powerful developments in AI is model distillation: taking the capabilities of a much larger model and transferring them into a much smaller one. - Meta's huge frontier models can serve as "teachers" for smaller models. - Zuckerberg says a model could potentially retain around 90–95% of the larger model's intelligence while being only ~10% of its size. - That means dramatically lower inference costs, memory requirements and computing power. - Developers can distill and customize these capabilities for their own applications. And that's where open-source models come into the picture.

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Box AI uses OpenAI models to deliver smart RAG capabilities natively in a Box Hub. With the Box AI API, you can easily search a Hub, extract insights from multiple docs, generate code snippets, and get answers to complex questions—all within your custom apps ⚡️
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Box AI uses OpenAI models to deliver smart RAG capabilities natively in a Box Hub. With the Box AI API, you can easily search a Hub, extract insights from multiple docs, generate code snippets, and get answers to complex questions—all within your custom apps ⚡️

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🌟 Another Epic Sneak Peek: OptimAI Core Node’s Edge AI Computing Power! We’re excited to continue unveiling the upcoming OptimAI Core Node features! This time, we’re introducing Edge AI Computing, a game-changing feature that will make your devices even more powerful in contributing to the OptimAI Network. 🔥 What is Edge AI Computing? With the OptimAI Core Node, your device’s idle computing resources (CPU/GPU) and storage will be put to work, powering critical AI computing tasks, including: 🔸Edge Inference: Running real-time AI predictions directly on your device without sending data to centralized servers. 🔸Hot LLM Models: Accelerating large language models for high-speed NLP tasks. 🔸Generative AI Models and More: Contributing to the training and inference of cutting-edge generative AI, like text-to-image models, deep learning, and more. More Contributions, Bigger Rewards Await! This Edge AI Computing feature allows us to leverage the full potential of decentralized computing power, reducing latency, increasing efficiency, and making AI more accessible. The more you contribute, the bigger the rewards!🔥 Stay in the Loop—Start Today with OptimAI Lite Node! While the OptimAI Core Node is still in the works, you don’t have to wait to join the action. The more you contribute, the greater the rewards! Let’s build a stronger, smarter, and more decentralized AI network together. Stay tuned for more exciting updates! 🔸Extension Node: 🔸Telegram Node: 🔸Register at: #DePIN
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🌟 Another Epic Sneak Peek: OptimAI Core Node’s Edge AI Computing Power! We’re excited to continue unveiling the upcoming OptimAI Core Node features! This time, we’re introducing Edge AI Computing, a game-changing feature that will make your devices even more powerful in contributing to the OptimAI Network. 🔥 What is Edge AI Computing? With the OptimAI Core Node, your device’s idle computing resources (CPU/GPU) and storage will be put to work, powering critical AI computing tasks, including: 🔸Edge Inference: Running real-time AI predictions directly on your device without sending data to centralized servers. 🔸Hot LLM Models: Accelerating large language models for high-speed NLP tasks. 🔸Generative AI Models and More: Contributing to the training and inference of cutting-edge generative AI, like text-to-image models, deep learning, and more. More Contributions, Bigger Rewards Await! This Edge AI Computing feature allows us to leverage the full potential of decentralized computing power, reducing latency, increasing efficiency, and making AI more accessible. The more you contribute, the bigger the rewards!🔥 Stay in the Loop—Start Today with OptimAI Lite Node! While the OptimAI Core Node is still in the works, you don’t have to wait to join the action. The more you contribute, the greater the rewards! Let’s build a stronger, smarter, and more decentralized AI network together. Stay tuned for more exciting updates! 🔸Extension Node: 🔸Telegram Node: 🔸Register at: #DePIN

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Transforming AI with $INFRA: Simple, Powerful, Decentralized @InfraX_ is redefining AI by delivering cutting-edge GPU nodes that fuel innovation and scalability. By decentralizing GPU and AI resources, $INFRA gives industries the flexibility and efficiency they need to thrive. With a no-code platform and an integrated marketplace, InfraX makes hosting AI models easy—even for those without coding expertise. Users can tap into a global network of AI nodes effortlessly. The future of AI is accessible, decentralized, and limitless. 0x06180a720bb9a07ca18ee7dc42f2686b622541b5
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Transforming AI with $INFRA: Simple, Powerful, Decentralized @InfraX_ is redefining AI by delivering cutting-edge GPU nodes that fuel innovation and scalability. By decentralizing GPU and AI resources, $INFRA gives industries the flexibility and efficiency they need to thrive. With a no-code platform and an integrated marketplace, InfraX makes hosting AI models easy—even for those without coding expertise. Users can tap into a global network of AI nodes effortlessly. The future of AI is accessible, decentralized, and limitless. 0x06180a720bb9a07ca18ee7dc42f2686b622541b5

Crypto Man

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⚡Why Edge Compute Matters for the Future of Agentic AI AI isn’t just about smarter models, it’s about where they run. Centralized clouds are costly, slow, and controlled by a few. That’s not the future. 👉Join the OptimAI Network: With OptimAI Edge Compute and the upcoming Core Node release, every device becomes part of a decentralized supercomputer: + AI models run directly on your devices (phones, desktops, IoT devices) + Data stays local, secure, and real-time + Compute scales with the community, not corporations This is how we power the next generation of Agentic AI - AI systems that don’t just think, but act like you. Lightweight, fast, everywhere, for everyone. Stay tuned. The Edge is coming.
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⚡Why Edge Compute Matters for the Future of Agentic AI AI isn’t just about smarter models, it’s about where they run. Centralized clouds are costly, slow, and controlled by a few. That’s not the future. 👉Join the OptimAI Network: With OptimAI Edge Compute and the upcoming Core Node release, every device becomes part of a decentralized supercomputer: + AI models run directly on your devices (phones, desktops, IoT devices) + Data stays local, secure, and real-time + Compute scales with the community, not corporations This is how we power the next generation of Agentic AI - AI systems that don’t just think, but act like you. Lightweight, fast, everywhere, for everyone. Stay tuned. The Edge is coming.

OptimAI Network

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✨ Personal AI is the next computing platform. AI is shifting from something you access to something you build with, locally, at the edge, and across systems. We’re unlocking new possibilities for developers: • AMD Ryzen AI Halo, a local-first developer system, preorder starting in June, develop AI without limits on your desk • Gorgon Halo with up to 192GB unified memory, supporting 300B+ parameter models locally, run massive models locally We’re excited to partner with clem 🤗🤗, Co-founder and CEO of Hugging Face, to advance open-source AI for Ryzen AI. Our focus is seamless AI, from model to deployment. Cloud, edge, device. One continuum. Multi-agent systems, local inference at scale, open models as infrastructure. This is the next computing era 🚀
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✨ Personal AI is the next computing platform. AI is shifting from something you access to something you build with, locally, at the edge, and across systems. We’re unlocking new possibilities for developers: • AMD Ryzen AI Halo, a local-first developer system, preorder starting in June, develop AI without limits on your desk • Gorgon Halo with up to 192GB unified memory, supporting 300B+ parameter models locally, run massive models locally We’re excited to partner with clem 🤗🤗, Co-founder and CEO of Hugging Face, to advance open-source AI for Ryzen AI. Our focus is seamless AI, from model to deployment. Cloud, edge, device. One continuum. Multi-agent systems, local inference at scale, open models as infrastructure. This is the next computing era 🚀

Jack Huynh

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Here's Lars Grammel on why TypeScript is the language that makes most sense for AI apps. - How often are you really training foundation models from scratch? - Full-stack TS brings a substantial speed increase - If you need Python, stick it in its own API
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Here's Lars Grammel on why TypeScript is the language that makes most sense for AI apps. - How often are you really training foundation models from scratch? - Full-stack TS brings a substantial speed increase - If you need Python, stick it in its own API

Matt Pocock

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Today @GoogleMaps is getting its biggest upgrade in over a decade. By combining our Gemini models with a deep understanding of the world, Maps now unlocks entirely new possibilities for how you navigate and explore. Here’s what you need to know 🧵
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Today @GoogleMaps is getting its biggest upgrade in over a decade. By combining our Gemini models with a deep understanding of the world, Maps now unlocks entirely new possibilities for how you navigate and explore. Here’s what you need to know 🧵

Google

28,859,813 görüntüleme • 5 ay önce

Enterprise AI deployments today are frozen in time. Model capabilities stagnate in production. The problem compounds because companies aren’t static either. Every time your company improves, the model falls further behind. The bottleneck is continual learning. How does a model do something once and improve from feedback? The future of enterprise AI is Specific Intelligence: custom models teams own, trained on a company’s choices, interaction by interaction, using internal knowledge general models cannot access. Applied Compute helps companies train, serve, own, and improve custom models. Thanks Apoorv Agrawal for having Yash Patil at MS&E 435 to talk about the future of model training.
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Enterprise AI deployments today are frozen in time. Model capabilities stagnate in production. The problem compounds because companies aren’t static either. Every time your company improves, the model falls further behind. The bottleneck is continual learning. How does a model do something once and improve from feedback? The future of enterprise AI is Specific Intelligence: custom models teams own, trained on a company’s choices, interaction by interaction, using internal knowledge general models cannot access. Applied Compute helps companies train, serve, own, and improve custom models. Thanks Apoorv Agrawal for having Yash Patil at MS&E 435 to talk about the future of model training.

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.River AI has a new vision for personal AI. We co-led River’s $1.1B funding round because we believe in Igor Babuschkin's ambition to build open-weight models that individuals can train and improve continuously. Watch Hemant Taneja in conversation with Igor. Chapters 02:22 — Co-Founding xAI 04:36 — An AI Experience You Own 05:59 — Betting Early on Open Weights 07:47 — How Do You Make Money on Free Models? 09:25 — Why the US Needs Its Own Open Models 11:27 — Enterprises Want to Control Their AI 13:36 — What Is Continual Learning? 16:56 — An API That Updates the Weights 19:17 — A Personal AI for Everyone 20:46 — The 20-Minute Training Run
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.River AI has a new vision for personal AI. We co-led River’s $1.1B funding round because we believe in Igor Babuschkin's ambition to build open-weight models that individuals can train and improve continuously. Watch Hemant Taneja in conversation with Igor. Chapters 02:22 — Co-Founding xAI 04:36 — An AI Experience You Own 05:59 — Betting Early on Open Weights 07:47 — How Do You Make Money on Free Models? 09:25 — Why the US Needs Its Own Open Models 11:27 — Enterprises Want to Control Their AI 13:36 — What Is Continual Learning? 16:56 — An API That Updates the Weights 19:17 — A Personal AI for Everyone 20:46 — The 20-Minute Training Run

General Catalyst

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Demis Hassabis recommendation for college students. He’s still do STEM, math and computer science. Expertise in those fields will help better leverage AI for at least next decade. Those in non-techical majors, really “lean in to” using latest models. AI labs spending so much time creating new models that they’ve only “scratched the surface” of what the models can actually do (huge “capability overhang”). And expertise in any field can be turbocharged by smart use of AI. “Double down on your own agency. The future is still to be written. Don’t listen to anyone that says it’s not.”
3:00

Demis Hassabis recommendation for college students. He’s still do STEM, math and computer science. Expertise in those fields will help better leverage AI for at least next decade. Those in non-techical majors, really “lean in to” using latest models. AI labs spending so much time creating new models that they’ve only “scratched the surface” of what the models can actually do (huge “capability overhang”). And expertise in any field can be turbocharged by smart use of AI. “Double down on your own agency. The future is still to be written. Don’t listen to anyone that says it’s not.”

Bearly AI

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AI app builders are officially obsolete. Stop building static sites. Start building AI-Native Apps. Enter Pro doesn’t just code a page; it builds apps with 'Brains', integrating Claude, GPT, and Gemini directly into your workflow via AI All. designed for build ai native apps or agent One sentence in. A real, emphasis on "ai native app", enter can build ai app or agent, with llm integrated. including the latest image and video models like nano banana, seedance 2.0(ready to launch), veo3.1 etc. Auth. Database. Payments. Handled.
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AI app builders are officially obsolete. Stop building static sites. Start building AI-Native Apps. Enter Pro doesn’t just code a page; it builds apps with 'Brains', integrating Claude, GPT, and Gemini directly into your workflow via AI All. designed for build ai native apps or agent One sentence in. A real, emphasis on "ai native app", enter can build ai app or agent, with llm integrated. including the latest image and video models like nano banana, seedance 2.0(ready to launch), veo3.1 etc. Auth. Database. Payments. Handled.

Darshal Jaitwar

40,362 görüntüleme • 6 ay önce

Sahil Bloom reveals you can make $100,000/month doing AI consulting for businesses “You could be making an enormous amount of money by consulting directly with companies that have no idea how to use AI or implement it into their workflow.” “I think that a young person that understands AI, and like has a pretty decent understanding of some of the models that are out there and the capabilities, can go build a $100,000 a month business doing that.”
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Sahil Bloom reveals you can make $100,000/month doing AI consulting for businesses “You could be making an enormous amount of money by consulting directly with companies that have no idea how to use AI or implement it into their workflow.” “I think that a young person that understands AI, and like has a pretty decent understanding of some of the models that are out there and the capabilities, can go build a $100,000 a month business doing that.”

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