We introduce dParallel, a simple and effective method that unlocks the inherent parallelism of dLLMs for fast sampling. We identify that the key bottleneck to parallel decoding arises from the ...

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

The most simply-named product names can sometimes have the most surprising of origins. Behind two of the world’s most ...

China’s AI leaders say the US still leads on compute and chips, despite rapid progress and open-source releases, making a ...

A new humanoid robot went from concept to live factory work in just seven months — and it’s now performing real industrial ...

Abstract: As part of the ongoing effort to improve neural network implementations on the LexisNexis High-Performance Computing Cluster (HPCC) Systems Platform, a new adaptation designed specifically ...

In 1969, Jack and Laura Dangermond launched Esri with a bold idea: geographic tools could help people understand – and ...

I studied computer science at University College Dublin, where the four-year course covered a broad range of topics. We ...

Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

Alphabet has a lot to gain by developing its quantum technology in-house. The tech giant is already seeing real-world applications for its technology. There's one quantum computing business that ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Abstract: In this note, we consider infinite horizon optimal control problems with deterministic systems. Since exact solutions to these problems are often intractable, we propose a parallel model ...