And 5 ways to use it in data science and machine learning
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Python’s Most Powerful Decorator
And 5 ways to use it in data science and machine learning
Originally appeared here:
Python’s Most Powerful Decorator
A benchmark of the main operations and layers on MLX, PyTorch MPS and CUDA GPUs.
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How Fast Is MLX? A Comprehensive Benchmark on 8 Apple Silicon Chips and 4 CUDA GPUs
Bridging the gap: Brain-inspired solutions to address catastrophic forgetting in artificial neural networks
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How the Brain and AI Overcome Forgetting
Go Here to Read this Fast! How the Brain and AI Overcome Forgetting
A prototype tool powered by Large Language Models to make querying your databases as easy as saying the word.
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QueryGPT — Harnessing Generative AI To Query Your Data With Natural Language.
A Quantitatively Accurate and Clinically Useful Generative Medical Imaging Model
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AI Predicts Your Insides From Your Outsides With Pseudo-DXA
Go Here to Read this Fast! AI Predicts Your Insides From Your Outsides With Pseudo-DXA
This story continues at The Next Web
Go Here to Read this Fast! EU member states approve world-first AI law
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EU member states approve world-first AI law
This story continues at The Next Web
Go Here to Read this Fast! Oxford spinout breaks world record for most efficient solar panel
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Oxford spinout breaks world record for most efficient solar panel
As Apple Vision Pro arrives in people’s hands after a decade or more of rumors and anticipation, two of the people behind it have been discussing its aims, and its journey to reality.
“We had the feeling that this could be great, but we had no idea how to achieve it,” Richard Howarth, Vice President of Industrial Design at Apple, told Wallpaper magazine. “Many of the problems we were trying to solve were huge, seemingly unsolvable and required entirely new technical innovations.”