it is, but I am unable to clone it. it's using the default Dockerfile, which doesn't preinstall torch. Not clone friendly and I ran out of zerogpu 😛
AI HARDWARE
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Improving prompts and AI topic categorization
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I think you’re right that’s probably important for this prompt working but with one more step you can make it work for paths harder to generate top-to-bottom:
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Voyager SDK Public Launch for Edge AI Applications
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Voyager SDK is now public on @GitHub
. Build, deploy & accelerate your #edgeAI apps with our powerful SDK — packed with tools, models, docs & sample pipelines. Get started right here: https://
eu1.hubs.ly/H0hT2Jg0 #AIAccelerator #VoyagerSDK #AxeleraAI -
SambaNova Launches Fastest AI Cloud Platform
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The fastest 📢
— SambaNova (@SambaNovaAI) 28 mars 2025
See for yourself 👇https://t.co/Nq7AnfttCn https://t.co/AZkqkBfC61The fastest See for yourself https://
cloud.sambanova.ai -
RTL Verification Method Detects Side-Channel Attack Vulnerabilities
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Register-transfer level verification captures vulnerabilities to side-channel attacks, reducing the risk of hidden bugs in the chip design before shipping them to production. A new method from CSAIL uses shadow logic to improve RTL verification scalability while being
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H2O.ai Powers Boston Dynamics Robot at MotoGP AI Competition
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http://
H2O.ai & Sixteenth Air Force Cyber Wing (16 AF, USAF) showcased a Boston Dynamics robotic dog powered by H2O Danube model at the #MotoGP AI competition. W/ US Air Force and @DellTech
, we deployed H2O Danube and Whisper to the edge in an airgapped, low-compute -
OpenAI GPUs Struggling with the Ghiblification Trend
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OpenAI's GPUs right now trying to keep up with the ghiblification of all the things pic.twitter.com/qBntbOOELs
— Rob Lennon 🗯 | AI Whisperer (@thatroblennon) 28 mars 2025OpenAI's GPUs right now trying to keep up with the ghiblification of all the things
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AI Infrastructure Bullish Case: NVIDIA’s Strategic Position
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These two tweets are exactly why you should be bullish on AI infrastructure—and, of course, bullish on NVIDIA.
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AI Model Deployment Challenges for Real-Time Robotics
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One of the very interesting challenges with AI models for robotics is the constraints you're working with when deploying models that need to run in realtime on-device.
