Great to see major increases in many metrics (love all the usage of the Gemini app!), many of them driven by Gemini models and our TPU hardware. Congrats to all Googlers on a great quarter!
AI HARDWARE
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Axelera’s Edge AI Breakthrough Cuts Energy Consumption Dramatically
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Edge AI stuck? Market grows 21.7%, but pilots flop.
Axelera's game-changer: Arch for AI workloads slashes energy on matrix ops. 900 FPS, multi-cam factories, 4K traffic AI without budget bust.
Read more: https://
eu1.hubs.ly/H0pfqzH0
#AIBeyondTheEdge #TechInnovation -
Cerebras Introduces Code Platform for AI Development
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https://
cerebras.ai/blog/introduci
ng-cerebras-code
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NVIDIA GH200 Sets New Financial AI Performance Records
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NVIDIA GH200 Superchip sets new records in financial AI performance. The NVIDIA GH200 Grace Hopper Superchip just topped industry-standard STAC benchmarks for real-time market data, setting new highs in speed, efficiency, and accuracy. Highlights: Up to 49% lower latency on
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Smarter Spaces: Offline Vision-Powered AI Challenge
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Join the Smarter Spaces project challenge by @AxeleraAI + @orangepixunlong We’re looking for builders, hackers, and engineers to create offline, vision-powered AI systems for the places you live, work, play and visit. Free edge AI kit (Metis + Orange Pi + cameras)
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New Research on Neuromorphic Computing Prototypes and AI Patterns
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papers: 1/ https://
techxplore.com/news/2025-10-n
euromorphic-prototype-patterns-traditional-ai.html
… 2/ https://
nature.com/articles/s4417
2-025-00479-2
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Neuromorphic chips: A brain-inspired solution for AI energy efficiency
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TL;DR for normal people: your brain runs on about 20 watts. a GPU running AI models burns hundreds of watts. that’s a problem if you want AI everywhere. researchers built a computer chip that works more like a brain. instead of doing billions of calculations constantly, it only
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Neuromorphic Computing as a Solution for AI Scaling and Energy Limits
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why this matters beyond the power savings: current AI is hitting physical limits. you can’t keep scaling datacenters forever. the energy costs are already insane and getting worse. neuromorphic computing doesn’t just use less power. it enables entirely new deployment scenarios:
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New neuromorphic chip mimics biological neurons for energy-efficient AI
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researchers built a chip that thinks like your brain and uses 1% of the power this breakthrough is massive. it’s a completely different computing paradigm that actually works. here’s what they did: • designed hardware that mimics how biological neurons process
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Axelera AI Ranked #27 in Sifted European AI 100
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Honored to be ranked #27 in the 2025 Sifted AI 100, celebrating Europe’s top AI startups. Proud to stand with innovators shaping the future of AI. Thank you to @Siftedeu and our team at Axelera AI for this milestone. #AI #Innovation