We congratulate Celeste Porsbjerg and colleagues for their Series paper1 addressing a key question in asthma care: the definition of the ideal candidate for biological therapy. Porsbjerg and ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

As multinationals embed tax technology into their TP functions, a new breed of systems – built on multi model databases – is ...

Global process intelligence leader Celonis is turning to India as a key hub for its enterprise AI ambitions. Head of Supply ...

Google pulled Gemma from AI Studio after falsehoods about a Senator. This shows just how vulnerable the AI developer ...

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

Abstract: Computational methods for predicting drug-target binding affinity (DTA) are critical for large-scale screening of prospective therapeutic compounds during drug discovery. Deep neural ...

Abstract: In the graph-based semi-supervised learning, the Green-function method is a classical method that works by computing the Green's function in the graph space. However, when applied to large ...