A new AI model accurately predicts gas adsorption in metalorganic frameworks and explains its results, offering faster, ...

The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.

BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...

Traditional experimental methods for evaluating gas adsorption performance of metal–organic frameworks (MOFs) are costly and time-consuming, while ...

The second system, called MAGNET-AD, employs a graph neural network to detect Alzheimer’s disease before symptoms appear. It predicts both a patient’s cognitive performance score (PACC) and the time ...

Evaluating the advantages and potential drawbacks of shielding as a method for safe RL. Bettina Könighofer is an assistant ...

Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

The integration of artificial intelligence (AI) into drug discovery is revolutionizing pharmaceutical research by providing sophisticated tools for understanding and predicting complex biological ...

The global artificial intelligence sector witnessed several major developments this week, marked by record-breaking valuations, new research breakthroughs, fierce competition for talent, and the ...

Looking to unlock deeper data-driven insights or to build more intelligent business process automations? These popular tools ...

This October, together with other scientists from MIT and Lithuania, Dr. Una-May O’Reilly gave a presentation at the ...