Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

What if your biggest challenges could become your greatest teachers? Learn five ACT-based ways to work with problems instead ...

Bumble bees astonished researchers by inventing a new way to reach a hidden reward, despite never being taught the trick. The ...

In the brief history of AI security, the prompt injection has quickly become the top threat. Large language models are ...

Studies show that using AI can lead people to "cognitive surrender." But with the right approach, it can also elevate your ...

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

The most valuable data-centric businesses today understand that the game has changed again.

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: 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 ...

Abstract: The extremely low tumor prevalence in the general population makes accurate image-based tumor identification and classification a significant obstacle for medical researchers. Timely ...

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 ...