“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...

Greenberg Traurig shares insights about how to choose the right IP strategy when algorithms, and not humans, drive innovation.

Abstract: The existing ground Cartesian back-projection (GCBP) algorithm is limited by its low effectiveness in spectral compression, which makes it unsuitable for processing high-squint and ...

Researchers have developed a new computational approach that uncovers possible drugs for specific cellular targets for ...

A candy-colored story collection, sisters who lust after Hitler and harrowing reportage from a riot in India. Credit...Photo illustration by Sebastian Mast Supported by By Sam Thielman Sam Thielman is ...

A novel algorithm showed 93% accuracy in predicting risk for poststroke pneumonia in a new study, with tracheostomy status, aspiration, cough frequency, malnutrition, and cognitive impairment ...

According to God of Prompt on Twitter, DeepMind has published groundbreaking research in Nature led by David Silver, introducing an AI meta-learning system capable of autonomously discovering entirely ...

Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process ...

Medical imaging methods such as ultrasound and MRI are often affected by background noise, which can introduce blurring and obscure fine anatomical details in the images. For clinicians who depend on ...