Global AI News Aggregator
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Human speech: ~39 bits/sec.
Visual processing: ~10 million bits/sec.
We've spent billions optimising AI for our slowest communication channel. Wrote about what happens when we stop assuming language is the best way to talk to AI? 👇
eu1.hubs.ly/H0sX7rr0
#EdgeAI #HMI [Translated from EN to English]
→ View original post on X — @axeleraai, 2026-03-25 10:30 UTC
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ISC West 2026 opens tomorrow. Find us at Booth 31087 to see live edge AI security in action: 8K cameras, real-time person-of-interest tracking, and novel threat detection, all on a single workstation PC. We also published the business case behind it. eu1.hubs.ly/H0sXbPq0 #ISCWest2026 #EdgeAI #PhysicalSecurity #AxeleraAI
→ View original post on X — @axeleraai, 2026-03-24 20:00 UTC
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Axelera AI has been ranked No. 3 on Fast Company's 2026 Most Innovative Companies list in the Emerging Enterprise category. This recognition means a lot to us, not just as a milestone, but as a reflection of the work our team puts in every day to make advanced AI processing accessible to the innovators building the next generation of edge applications. Thank you to everyone who has been part of this journey, our team, our partners, and the customers who push us to keep raising the bar. Honored to be recognized alongside some of the world's most forward-thinking companies. @FastCompany #FCMostInnovative #AxeleraAI #EdgeAI #Innovation
→ View original post on X — @axeleraai, 2026-03-24 12:02 UTC
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At Embedded World 2026, our CEO and co-founder Fabrizio Del Maffeo sat down with Embedded Computing Design to talk about where edge AI is headed and what it actually takes to get there. A few things worth watching for: The dedicated accelerator model. Just as a graphics card handles specialized tasks without burdening the CPU, our AIPUs are purpose-built to run AI workloads efficiently alongside existing processors. No rip and replace, just more capability where you need it. Real-time intelligence at the edge. Physical AI means the machines around us can understand and respond to the world in real time, without a round trip to the cloud. That changes what is possible across industrial, medical, and autonomous systems. Performance that scales. The Metis AIPU delivers 214 TOPS at a fraction of the power and cost of traditional setups, bringing high-performance inference within reach for builders who previously could not justify the tradeoff. What comes next. With Europa on the way, large language models are coming to the edge too. Watch the full conversation here: eu1.hubs.ly/H0sVnCq0 #AxeleraAI #EmbeddedWorld #EdgeAI #PhysicalAI #ComputerVision #Semiconductors
→ View original post on X — @axeleraai, 2026-03-24 07:30 UTC
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Congratulations to Hewlett Packard Enterprise and the entire HammerHAI consortium on this milestone. EuroHPC Joint Undertaking (EuroHPC JU) has signed a contract to deploy HammerHAI, an AI-optimized supercomputer at the High-Performance Computing Center Stuttgart, as part of the EU's AI Factories initiative. Delivering more than 15 exaflops of peak AI inference performance, it will give European startups, SMEs, and researchers access to world-class AI compute, free of charge. We are proud that Axelera AI's inference hardware is part of this system, and thrilled to see this kind of collaboration driving Europe's sovereign AI infrastructure forward. eu1.hubs.ly/H0sPY4h0 #AxeleraAI #HammerHAI #EuroHPC #AIFactories #EdgeAI #EuropeanAI #Semiconductors
→ View original post on X — @axeleraai, 2026-03-19 17:02 UTC
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We asked the Axelera AI community to embed intelligence into the places they live, work, and play. They came back with gesture-controlled smart homes that feel like something out of Iron Man. Privacy-first activity sensors running 24/7 with zero video leaving the device. Security systems that catch intruders crawling under blankets. On-device physiotherapy assistants. AI-powered book cataloguers for libraries. Healthcare robots with clinical partners already lined up. Amazing AI applications, each offering different takes on what "smarter spaces" means. All running on Metis hardware with the Voyager SDK, all offline-first, and all built and documented openly by our awesome community members. We've picked our winners. Go see who made the podium and check out what every team built, and join us in congratulating everyone who entered: eu1.hubs.ly/H0sPFPZ0 And if this has you thinking about what you'd build with Metis, our Demo Jam is live right now. Share something cool you've made, and you could win a 4 Quad-Core Metis PCIe Card! Details on the community.
→ View original post on X — @axeleraai, 2026-03-19 16:30 UTC
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Scaling AI at the Edge: Insights from MWC Barcelona
— Axelera AI (@AxeleraAI) 18 mars 2026
Most AI today is still tethered to the cloud. Why? Because the industry has lacked a solution that combines high performance with the price efficiency needed for true edge deployment.
At MWC Barcelona, our CEO and Co-Founder,… pic.twitter.com/XYjGGj9tl3
Scaling AI at the Edge: Insights from MWC Barcelona Most AI today is still tethered to the cloud. Why? Because the industry has lacked a solution that combines high performance with the price efficiency needed for true edge deployment. At MWC Barcelona, our CEO and Co-Founder, Fabrizio Del Maffeo, shared how Axelera AI is changing this narrative. By building a hardware architecture from the neural network up, we are enabling enterprises to run powerful AI efficiently right where the data is created. Key Takeaways: Digital In-Memory Computing: Our unique architecture merges memory and computing on a single chip to deliver high throughput and low cost. The Power of Ecosystems: Real-world AI success isn't just about the chip. It requires a synergy of hardware, software, and strong partnerships with industry leaders like Dell Technologies, HP, and Lenovo. What’s Next: We are preparing for a future where world models and advanced sensing will redefine how devices interact with the world. Watch the highlights below to see how we're bringing the future of computer vision and edge inference to life. #EdgeAI #AIInference #ComputerVision #MWC26 #AxeleraAI #Innovation
→ View original post on X — @axeleraai, 2026-03-18 15:25 UTC
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We're excited to announce our partnership with DeGirum, bringing their PySDK and face recognition platform to Axelera AI's Metis® edge AI accelerators for a powerful, production-ready edge AI solution. What our customers get with DeGirum: * Industry-leading inference performance on Metis hardware * An easy-to-use platform for building and deploying AI solutions * An accessible platform that removes barriers to edge AI deployment * Axelera customers receive one year of premium technical support from DeGirum at no cost The best edge AI outcomes come from pairing the right software with the right hardware. That's exactly what this partnership delivers. Read the full announcement: eu1.hubs.ly/H0sKxpT0 #EdgeAI #ComputerVision #AIAcceleration
→ View original post on X — @axeleraai, 2026-03-17 16:22 UTC
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AI-driven video analytics will be the biggest topic at ISC West next week. The Metis AIPU is powerful enough for your toughest challenges when applying AI to security. We would love to show you how. You'll be able to see six live demos that show what edge AI looks like when it actually works in the field. No cloud dependency. No latency tradeoff. No compromises on privacy. A few highlights: * A robot dog that identifies threats and recognizes personnel entirely onboard * 8K video processing at over 600 frames per second across 16 streams * Four independent AI pipelines running simultaneously on a single chip * Real-time face detection and crowd monitoring in 8K resolution If you have a specific project in mind, book a 1:1 with our team and we will make sure the conversation is worth your while. Booth 31087, The Venetian Expo Wednesday to Friday, March 25 to 27, Las Vegas Read more and book a meeting: eu1.hubs.ly/H0sHJlp0 #AxeleraAI #ISCWest #ISCWest2026 #EdgeAI #PhysicalSecurity #VideoAnalytics #ComputerVision
→ View original post on X — @axeleraai, 2026-03-17 13:00 UTC
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At this week’s NVIDIA GTC, much of the conversation will focus on the infrastructure powering the next wave of AI. One concept gaining traction is the idea of “AI factories.” Data centers designed to convert energy and data into intelligence at scale. Ahead of GTC, Alexis sat down with theCUBE Research for a panel to explore that idea and what it means for the future of AI infrastructure. Training builds the models. Inference delivers the value. Every recommendation, vision system, assistant, or autonomous decision happens at inference time. Which means the future of AI infrastructure will not just be about bigger training clusters. It will be about running inference efficiently, everywhere. Watch the conversation: eu1.hubs.ly/H0sHJZQ0 #AIInfrastructure #AIInference #EdgeAI #GTC
→ View original post on X — @axeleraai, 2026-03-17 09:16 UTC