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 ...

Ultimately, executive dashboards aren’t just about flashy visuals or faster reporting—they fundamentally change how ...

In this episode of "Uncanny Valley," we discuss the economics and environmental impacts of energy-hungry data centers and ...

There has been growing interest in the adoption of complex systems approaches to tackle major public health challenges such as obesity. This perspective redirects focus from individually oriented and ...

A data lake is a central location in which businesses can store their data in a variety of structures and at different scales ...

Abstract: Hierarchical federated learning (HFL) is a key technology enabling distributed learning with reduced communication overhead. However, practical HFL systems encounter two major challenges: ...

A new study shows that feeding large language models low-quality, high-engagement content from social media lowers their ...

A new study explores how sexual preferences for dominance and submission relate to an individual’s general position in ...

Governments and businesses globally are spending billions to develop homegrown data centers, homegrown compute clusters, and ...

AMBA AXI credit-based transport; hierarchical data models for CDC/RDC; hybrid cloud; confidential computing; security assessment.