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 ...

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

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

Graph database provider Neo4j Inc. today announced that it will invest $100 million to accelerate its role as what it calls the “default knowledge layer” for agentic systems and generative artificial ...

Functional classification of intrinsically disordered proteins (IDP) is a challenge due to their low sequence homology and lack of stable tertiary structure. We embrace this challenge to classify a ...

The Cleveland Clinic is partnering with San Francisco–based startup Piramidal to develop a large-scale AI model that will be used to monitor patients’ brain health in intensive care units. Instead of ...

Abstract: Burgeoning graph contrastive learning (GCL) stands out in the graph domain with low annotated costs and high model performance improvements, which is typically composed of three standard ...