Satya discusses quantum computing and its importance in driving emulation and simulation use cases.
AI HARDWARE
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AI Accelerators Transform Computing Beyond GPU Architecture
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“These AI accelerators are the new unit of compute. They won’t look like GPUs at all.” Specifically mentions high bandwidth memory, proprietary data, reasoning engines on top of infra, vector data, scaler data. –
@satyanadella -
The Adrenaline of Launching Massive GPU Training
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There’s no adrenaline rush like launching a massive gpu training
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Non-invasive Brain Machine Interface advances and adoption concerns
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I think you are right. If the first thought of Brain Machine Interface is drilling into the cranium then I get it, I might want to wait on that one myself. But there are so many non obtrusive BMI efforts underway too.
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76% Skeptical of Brain-Machine Interface Technology Adoption
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A whopping 76% of respondents are not digging BMI. Me I can't wait. Lets jack in. Time to fly! https://t.co/EXoAVIL92M pic.twitter.com/UH2Zztcn1S
— Bob Gourley – e/acc (@bobgourley) 25 janvier 2024A whopping 76% of respondents are not digging BMI. Me I can't wait. Lets jack in. Time to fly!
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OpenAI’s approach to computing resources and AI system scaling
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Building at OpenAI is an exercise in maximally harnessing each available computing resource, scientifically predicting and understanding the resulting systems, searching for new ideas or old ones that are now ready to work, and scaling beyond precedent.
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Groq’s Proprietary Network Stack and Instruction Set Drive Performance
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"Ouch, the network stack and instruction set are also proprietary developments by Groq… The result speaks for itself." –Kerstin Mende-Stief @DataDisrupted https://
datadisrupted.tech/generative-ai-
trainierst-du-noch-oder-antwortest-du-schon/
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Apple iPhone 16 and MacBook Air Updates Showcase Hardware Innovation
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Apple Loop: iPhone 16 Details, MacBook Air Pricing, Apple Vision Pro Plans https://
forbes.com/sites/ewanspen
ce/2023/12/29/apple-headlines-iphone-16-a18-macbook-air-apple-watch-ios17-m3-macos-gaming/?utm_source=dlvr.it&utm_medium=twitter
… #Innovation #ArtificialIntelligence #MachineLearning -
Neuromorphic Computing Reduces AI Energy Consumption and Carbon Footprint
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Neuromorphic computing may advance AI to new levels whilst crucially keeping down the computational costs. This results in a much lower energy consumption and hence carbon footprint for AI.
