CLAMP-TB employs predictive analysis for high-risk TB case detection, enabling timely interventions to reduce loss to follow-up and mortality. Additionally, it aids in lowering transmission, supporting TB eradication, and enhancing treatment success.
MACHINE LEARNING
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New startup founded by former TensorFlow.js creators
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A new startup founded by former members of team that created TensorFlow.js at Google Brain 🧠 https://t.co/xVsGIdBBzG
— hardmaru (@hardmaru) 25 août 2023A new startup founded by former members of team that created TensorFlow.js at Google Brain
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Human-in-the-loop scalability via Mechanical Turk style intervention
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Human-in-the-loop is more scalable than we might think. Mechanical Turk type intervention could be all you need. The models won’t be hung up on the entire edge case action, they may just need one piece of data to continue the decision tree.
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Simplifying PyTorch by removing C++ dependencies
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What I am really hoping for is that it will help simplify code bases, though. Maybe we can get rid of the C++ parts of PyTorch this way to make development easier.
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PyTorch Python overhead and realistic performance gains discussion
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2/2
PyTorch's Python overhead is usually quoted to be at ~10% (compared to PyTorch's C++ API). I think for PyTorch users (or CUDA-dependent packages), the speed advantage is probably more going to be in the single digit range, not 35,000x.
Still super exciting though! -
Python Superset Language Promise Tempered by GPU Support Concerns
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I think it is awesome! Especially the fact that it's going to be a superset of Python is really highly appreciated. But when it comes to AI workflows, I think we'll still have to see what the speed advantage is since they currently don't support GPUs and CUDA afaik.
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Stanford researchers reveal how children learn numbers using neural networks
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How do children learn about numbers? Stanford researchers discovered new insights about number learning in humans using a deep neural network. https://
stanford.io/44kg3Nb -
Benchmarks comparison with GPT-4 and ChatGPT-3.5
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The benchmarks include GPT-4 and ChatGPT-3.5 (table on the right)
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Hoffman-Yee Grants Fund Novel AI Moonshot Ideas Across Sectors
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Our Hoffman-Yee Grants are designed to fund novel, moonshot ideas in AI. Recipients’ research spans healthcare, teaching, immigration, foundation models, and more:
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Breaking Data Silos: IoT and Machine Learning in Business
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In this episode of @SAP #BetterTogetherStories podcast we discuss Business Without Boundaries w/ Jason Taylor of @GatesIndustrial
, Nathan Williams of @NIMBLnews
, and @chuckmartin to discuss how to break down data silos. https://
bit.ly/37duSXW #IoT #MachineLearning #COVID19