HPC & Quantum
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HPCwire (Twitter)

MIT researchers, using NSF ACCESS-funded resources at SDSC, have developed a cutting-edge #machinelearning method to analyze chemical patterns in metallic alloys. This breakthrough in computational models offers unprecedented insights. ow.ly/6mKx50SxwAA #deeplearning
HPC Guru (Twitter)

A team from @Google and @ECMWF detail a novel approach that uses #MachineLearning to overcome limitations in existing climate models and try to generate forecasts faster and more accurately than existing methods

https://www.theregister.com/2024/07/27/google_ai_weather/

#HPC #AI via @TheRegister
HPCwire (Twitter)

IOP Publishing is launching the first open access journal dedicated to #machinelearning and #ArtificialIntelligence in the sciences. This series will cover applications in physical and environmental sciences, #engineering, biomedicine, and health. ow.ly/NQsj50SFtkl
HPCwire (Twitter)

AI is revolutionizing the search for exoplanets! With advanced #machinelearning, scientists can now analyze vast data sets, discovering new planets and potentially finding Earth-like worlds. Learn how AI is unlocking the secrets of the universe. ow.ly/GVJJ50SWLy3
HPC Guru (Twitter)

RT @YangYou1991: 🚀 Proud to announce Colossal-AI’s latest innovation in FP8 Mixed Precision Training! 🚀

Our team has upgraded mixed precision training, now supporting BF16 (O2) + FP8 (O1). With just one line of code, mainstream LLM models can achieve up to 30% acceleration—cutting training time, memory usage, and costs, without sacrificing precision.

No custom CUDA ops No lengthy AOT compilation Optimized for H100/H800 GPUs

Excited to see how this pushes the boundaries of AI training! Check out our open-source project: 🔗

#AI #FP8 #MachineLearning #ColossalAI #opensource #LLM
HPC Guru (Twitter)

The @NobelPrize in Physics has been awarded to two scientists, Geoffrey Hinton and John Hopfield, for their work on #MachineLearning

Congratulations, @geoffreyhinton & @HopfieldJohn!

https://www.bbc.com/news/articles/c62r02z75jyo

#AI
HPCwire (Twitter)

MLCommons has unveiled the MLPerf Storage v1.0 benchmark, focusing on #storage performance for #machinelearning workloads—no GPUs required. With AI training, especially for LLMs, high-speed, large-scale storage is key to avoiding #data bottlenecks.
ow.ly/GXSf50TFg6K
HPCwire (Twitter)

The latest Appen report highlights a key hurdle for AI progress. With a 9% drop in average data accuracy and growing challenges, companies face bottlenecks at every stage of the AI data pipeline. #ArtificialIntelligence #MachineLearning #HPCWire

ow.ly/Lx1450TYWly
HPCwire (Twitter)

Archetype AI’s new “Newton” model is revolutionizing AI in physics, using raw sensor data to learn complex physical principles independently. #ArtificialIntelligence #Physics #MachineLearning

ow.ly/yojT50TYWph
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HPC Guru (Twitter)

RT @NASA_Supercomp: We're unveiling neutron stars in the NASA booth at #SC24 today at 3:30! Researchers from @NASAGoddard will be showcasing how they created cutting-edge simulations of the magnetospheres of single and binary neutron stars using #MachineLearning on NASA #HPC. go.nasa.gov/48W34VT