Vitalik Buterin questions whether Elon Musk’s plan to open-source X’s algorithm will deliver real, verifiable transparency ...

By adopting a Data-First approach, you can build connected intelligence while providing AI analysis to automate ...

Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

At the Guide Sensmart booth, live product demonstrations powered by ApexVision attracted significant attention from industry analysts, engineers, developers, and global media. Hands-on comparisons and ...

Structure-based virtual screening (SBVS) is an important approach that makes the first stages of drug development and repurposing processes faster and more efficient. Advances in experimental ...

Quantum chaos used to be the kind of phrase that made experimental physicists wince, a shorthand for fragile devices going ...

Service intelligence startup Neuron7 Inc. said today it has come up with a solution to solve the reliability challenges that prevent enterprises from adopting artificial intelligence agents. That ...

import torch @torch.compile(backend="inductor") def fn(src, index, base_tensor): src = src + 10 torch.use_deterministic_algorithms(True) base_tensor.scatter_(0, index ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

Researchers have successfully demonstrated quantum speedup in kernel-based machine learning. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.