Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...

In June 2024, Nkarta announced the initiation of Ntrust-I, a multi-center clinical trial of NKX019 in lupus nephritis, with ...

Abstract: Achieving distributed reinforcement learning (RL) for large-scale cooperative multiagent systems (MASs) is challenging because: 1) each agent has access to only limited information and 2) ...

Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...

One powerful way to do this is through a routine called slow reveal graphs.

Trapping ultracold atoms with laser light let researchers magnify and then image the wave functions of atoms that were ...

Madeline Lancaster created the first brain organoids, which have revolutionised our understanding of how the brain works - ...

Previously unmapped sections of the genome explain how cells sense their mechanical environment and could open new paths for ...

Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...

Many people look at trees to relax, taking in the soothing fractal patterns to adjust their eyes from too many hours spent at ...

"RUBY"—a cost-effective innovation designed to track gene activity—is proving valuable across a range of fields. It all ...

One of the most natural ways to stimulate your creativity is waiting right outside your back door, down the street, in a ...