Every few months, a new AI tool promises to transform legal work. The demos are impressive. The capabilities are real. And ...

For years, physicists were stuck in trying to explain an important mathematical problem in physics. The right approach ended ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

Abstract: Recently, convolution neural network (CNN)-based hyperspectral image (HSI) classification has enjoyed high popularity due to its appealing performance. However, using 2-D or 3-D convolution ...

Abstract: Synchronization on complex networks depends on a myriad of factors such as embedded dynamics, initial conditions, network structure, etc. Current literature simplifies analysis of cluster ...

Inverse problems, which involve estimating parameters from incomplete or noisy observations, arise in various fields such as medical imaging, geophysics, and signal processing. These problems are ...

TensorFlow Compression (TFC) contains data compression tools for TensorFlow. You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to ...

OpenAI relaunched Codex as a separate desktop app in February. ChatGPT is about to get a lot more powerful. That's because ...

The question of how gravity interacts with the quantum world has long perplexed physicists, but a non-quantum theory of space ...

Tweens and teens are increasingly turning to AI over parents and teachers for schoolwork and emotional support, raising ...

A mathematical problem that had remained unsolved for more than 10 years in the physics of complex systems has finally been ...