More than a hundred experts in molecular simulation have published a paper in the journal Nature Methods calling for a paradigm shift in molecular dynamics data management.

A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter ...

A team of AI researchers at the University of California, Los Angeles, working with a colleague from Meta AI, has introduced d1, a diffusion-large-language-model-based framework that has been improved ...

In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

The wiring diagram and its data, freely available through the ... another team at Princeton University used artificial intelligence and machine learning to reconstruct the cells and connections ...

The U.S. Department of Energy wants to assure the nation's AI dominance by co-locating AI data centers and energy production on existing DOE lands. In January, the US government announced its role in ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

These features are particularly suitable for handling LLMs and other complex AI operations enhancing the GPUs abilities in accelerating deep learning tasks ... hardware-based security to protect ...