New neural network tools automate cell alignment and labeling in microscopy, achieving near-human accuracy and dramatically ...
BrainAlignNet, AutoCellLabeler, and CellDiscoveryNet—to automatically track and identify neurons in moving worms and ...
A new 3D electronic mesh device allows scientists to record and stimulate activity across almost the entire surface of ...
As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...
In the rapidly advancing world of AI, language translation has achieved unprecedented levels of accuracy, courtesy of ...
OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks
OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...
Patient digital twins aim to create computational replicas of an individual’s physiology that can predict disease trajectories and treatment response.
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
An MIT spinoff co-founded by robotics luminary Daniela Rus aims to build general-purpose AI systems powered by a relatively new type of AI model called a liquid neural network. The spinoff, aptly ...
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