Finding patterns and reducing noise in large, complex datasets generated by the gravitational wave-detecting LIGO facility just got easier, thanks to the work of scientists at the University of California,

Deep learning works by using multilayered neural networks. To make sense of the data they are fed, such as photos, neural networks pass it through an interconnected layer of nodes beginning with the input layer.

Federally licensed firearm dealers are an important target of regulatory and enforcement efforts aimed at reducing the supply of firearms diverted to the illicit market, but the extent of dealers' involvement in the illegal diversion of firearms is hard to measure.

The world of machine learning is evolving rapidly, and choosing the right framework for training models can significantly impact the success of your project. With so many options available, deciding which one best suits your needs can be overwhelming.

Improvements such as DeepSeek-V3 help squeeze more out of available hardware. This doesn’t eliminate the need for better hardware, and, of course, new software and models are under development. Generative AI is relatively new, but it’s not the end of the road for AI/ML.

Announcing a new publication for Acta Materia Medica journal. The binding affinity of aptamers to targets has a crucial role in the pharmaceutical and biosensing effects. Despite diverse post-systematic evolution of ligands by exponential enrichment (post-SELEX) modifications explored in aptamer optimization,

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person’s cells differ from those of someone with a disease?

Connecting decision makers to a dynamic network of information, people and ideas, Bloomberg quickly and accurately delivers business and financial information, news and insight around the world

An interpretive machine learning model may be a feasible method for measuring agitation in dementia as well as in predicting certain environmental factors that are likely to contribute to the condition,

In this modern era, healthcare organizations face escalating cybersecurity challenges as they transition to digital systems. The increased digitalization of healthcare services, including electronic health records (EHRs) and connected medical devices,

Santhosh Kumar Shankarappa Gotur's systematic approach to performance testing and optimization provides a robust framework for improving the efficiency and scalability of machine learning systems

Recent results show that large language models struggle with compositional tasks, suggesting a hard limit to their abilities.