#SC23 is the place to be! Join us in booth 2250 to see a live #demo of our accelerated AI video analysis reference design. See what our dedicated #energycentric AI hardware can do for you! AND chat with one of our team members to snag one of our signature hockey pucks!
TECHNOLOGY
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End-to-End AI Inference Benefits for Businesses
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What benefits does end-to-end #AI #inference provide businesses? Get to know the NVIDIA AI inference platform: https://
nvda.ws/3ubAVdf -
Biology meets technology: gene editing, brain-computer interfaces, longevity
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Next decade’s frontier: writing biology with technology. Gene editing disease out of existence, symbiosis with brain-computer interfaces, and living as long as you want.
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Recreate Images GPT by God of Prompt recreates any image quickly
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Recreate Images GPT by God of Prompt is here! Just upload your image and the GPT will try its best to recreate it in seconds! Try it out here: https://
chat.openai.com/g/g-DqViiXYrU-
recreate-images-gpt
… #recreateimages #GPTs #GPTStore #GPT5 #ChatGPT4 #ChatGPTplus #dalle3art #dalle #DALLE3 #godofprompt -
China’s LED skyscrapers create futuristic urban sensory experience
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Las luces led instaladas en los rascacielos de algunas ciudades de China realmente crean la sensación de estar viviendo en el futuro.
— Juan Merodio (@juanmerodio) 14 novembre 2023
Un paseo por sus calles es toda una experiencia para los sentidos y es altamente impactante. Lo que me pregunto es qué tal lo llevan los… pic.twitter.com/4Muoc4fplFLas luces led instaladas en los rascacielos de algunas ciudades de China realmente crean la sensación de estar viviendo en el futuro. Un paseo por sus calles es toda una experiencia para los sentidos y es altamente impactante. Lo que me pregunto es qué tal lo llevan los
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Stanford Emerging Tech Review Launched with Policy Focus
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Join @StanfordEng and @HooverInst for today's launch of the Stanford Emerging Tech Review. We are pleased to have contributed to this university-wide effort to produce an annual report of key technological developments and their policy implications.
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Why Aren’t We Training Massive Embedders?
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why aren't we training massive embedders? some guesses:
– contrastive loss isn't the right loss function for embeddings
– not enough good paired data
– unclear what the use case is (retrieval? clustering? classification?)
– no principled scaling laws
– diminishing returns -
Cerebras Machine Outperforms CPU GPU Architectures Computational Science
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(2/2) John R. Tramm, Assistant Computational Scientist at mentions, “The performance numbers we were able to get out of the Cerebras machine impressed our team – a clear advancement over what has been possible on CPU or GPU architectures to-date. ”
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GraphCast: Google DeepMind’s Advanced AI Weather Forecasting System
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Excited to share @GoogleDeepMind
’s newest AI model GraphCast: the most accurate 10-day global weather forecasting system in the world. GraphCast can also offer earlier warnings of extreme weather events, including the path of hurricanes. In @Science today https://
dpmd.ai/graphcast -
Beyond Transformers: Bio-Inspired AI for Future Innovation
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There were many concepts and dreams a long time ago but until Transformers & GANs took off much of the AI tasks including Generative AI did not work. The question is where do we go next? I believe the innovation should be towards biologically inspired more resource and energy