Mount Sinai researchers have developed an AI-powered surgical training model that guided researchers through a complex kidney cancer procedure — with no human instructor present. All 17 trainees in ...

Before the next generation of self-driving cars hits the road, it’s already logging millions of miles, virtually. Inside labs ...

Qwen3 Coder AI demonstrated thoughtful and empathetic responses in ethical and emotional scenarios. It provided nuanced ...

Grok 4 Heavy excelled in contextual retrieval. A hidden password embedded in the first three-quarters of a Harry Potter book was located in just 15 seconds. When the planted password was removed, the ...

Once the most coveted role in tech, the data scientist now faces an existential reckoning. Microsoft Research’s analysis of ...

This paper presents ZacrosTools, a free and open-source Python library designed to simplify and automate the preparation and analysis of kinetic Monte Carlo (KMC) simulations with the widely used ...

To make a truly realistic fake picture of a galaxy, you can model exactly how light particles travel through the atmosphere and telescope to reach its sensor.

Integrated solution comprised of multiple Hitachi capabilities including an AI-based power simulation algorithm, Hitachi-iQ-accelerated calculations, augmented simulation modelling, predictive ...

Learn how the Adadelta optimization algorithm really works by coding it from the ground up in Python. Perfect for ML enthusiasts who want to go beyond the black box!

This GitHub repository includes the implementation code of the paper "Density Ratio-based Proxy Causal Learning Without Density Ratios" (Accepted to AISTATS 2025). All the codes are written in Python ...