This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Defections, secret conversations, deal talks that fizzled and a battle for control: The turmoil at Thinking Machines Lab is the artificial intelligence industry’s latest drama.
SGLang, which originated as an open source research project at Ion Stoica’s UC Berkeley lab, has raised capital from Accel.
This OS quietly powers all AI - and most future IT jobs, too ...
While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...
The startup behind open source tool PyTorch Lightning has merged with compute provider Voltage Park to create a “full stack ...
Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world.
The Robotic Instruments group at the Department of Electrical Engineering and Automation, Aalto University School of Electrical Engineering, is seeking a highly motivated master thesis worker or a ...
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