The TL Podcast for May 20th: The momentum in the AI trade Everyone is scrutinizing the AI payoff of every company, Nvidia will have another chance to prove its AI payoff this week, while Applied Materials and Cisco get some props for their own AI payoff, and absolutely one is
AI HARDWARE
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Neural Networks, Big Data, and GPUs: Birth of Modern AI
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This is a really good summary of how the breakthroughs in Neural Network (AlexNet), Big Data (ImageNet) and GPUs led to the birth of modern AI and computer vision. Thank you @Kseniase_ and your @TheTuringPost !
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Low-cost 3D-printed hardware enables safe hands-on learning
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you pay it in reliability/strength but a thing i really love about low-cost 3d-printed hardware is how it can be so harmless by design (plastic made with low-cost motors). kids can just play and experiment with it without risks/supervision and that’s such an amazing way to learn pic.twitter.com/L4oqjCoB1t
— Thomas Wolf (@Thom_Wolf) 20 mai 2024you pay it in reliability/strength but a thing i really love about low-cost 3d-printed hardware is how it can be so harmless by design (plastic made with low-cost motors). kids can just play and experiment with it without risks/supervision and that’s such an amazing way to learn
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NVIDIA and Dell deliver latest AI solutions for enterprises
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#DellTechWorld Keynote is tomorrow! Tune in to hear how NVIDIA and @DellTech are delivering the latest #AI solutions and transforming enterprises. May 20, at 10 a.m. P.T. https://
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Switching to MacBook Pro: Peer Pressure Influence on Tech Adoption
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I was peer pressured by Twitter people to switch so when I got a new MacBook Pro this year I did
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US-China tech rivalry: Huawei, semiconductors, and TikTok dominance
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2019: Huawei passes Apple to become the world's 2nd smartphone producer, closing in on Samsung
2019: US bans all Huawei products 2022: AI becomes most important tech, and AI needs a lot of semiconductors
2022: US bans sale of semiconductors to China 2023: TikTok becomes the top -
Blended AI Systems: Reduced Computational Requirements for Efficient Inference
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3. Efficient Inference: Blended systems require significantly less computational power. Each response is generated by a single model, maintaining the speed and efficiency of smaller models.
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AI Hardware for Accelerated Video Analysis Showcased at EmbVision Summit
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We're excited to showcase our purpose-built hardware at the @EmbVisionSummit from May 21-23! Visit us in booth 622 to see our accelerated AI video analysis demo and let's discuss how our solutions can unlock your #AI #compute capabilities. Meet with us: https://
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Brain Computing Power Compared to NVIDIA A100 GPU
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The naive napkin math would go something like 1 brain ~= 1e11 neurons * 1e4 synapses * 1e1 fires/s = 1e16 FLOPS (i.e. 10 petaflops) NVIDIA A100 = 312e12 peak FLOPS, in-practice achievable utilization may be let’s say 50%, i.e. 156e12. Dividing you get 1 brain ~= 1e16 / 156e12 =