Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Reinforcement learning (RL) has demonstrated remarkable promise in sequential decision-making tasks; however, its explainability issues continue to hinder high-stakes domains that demand regulatory ...

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

The sack occurred with approximately 7:26 remaining in the third quarter. At that point in the game, the Seahawks held a 12-0 lead. They are looking to orchestrate a drive that could potentially put ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

GE HealthCare said it has received FDA Premarket Authorization for Pristina Recon DL, a deep-learning–powered 3D mammography reconstruction technology the company says improves image sharpness and ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Ryan Coogler was deep into writing “Sinners” when he realized the movie was missing something: He needed a moment that would jolt the audience and plunge them into a different space. “Instead of ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

An investigation into what appeared at first glance to be a “standard” Python-based infostealer campaign took an interesting turn when it was discovered to culminate in the deployment of a ...