Predict dynamic behaviors in a physics system in a way that's computationally efficient and adaptable to a range of scenarios.

A survey finds that most respondents are sceptical that the technology underpinning large-language models is sufficient for ...

A New Era in Skill Analytics Shekhar Agrawal, along with co-author Rahul Vats, introduces a groundbreaking innovation in ...

Researchers at Radboud University have developed a new method to calculate the reliability of the power grid. This new method, based on Graph Neural Networks, is not only a thousand times faster but ...

Online drug trafficking presents unique challenges due to the class-imbalance problem, where only a small fraction of social ...

There's no question that AI systems have accomplished some impressive feats, mastering games, writing text, and generating ...

Spectroscopy plays a crucial role in chemistry by analyzing molecular structures through techniques like mass spectrometry ...

There is much overlap between neural nets and artificial intelligence ... the common feed-forward networks typically run on CPUs and GPUs today. In the graph below, the colored dots toward ...

AI models are growing ever-more capable, accurate and impressive. The question of if they represent “general intelligence” is increasingly moot.

Artificial intelligence uses machines -- generally ... The efficiency of machine learning generally depends on the algorithm. Neural networks are computer systems designed to imitate the neurons ...