Here's how banks can turn fragmented compliance efforts into a scalable, auditable operating model that delivers faster ...

The PRISSMM™ cancer data modeling system, enhanced by and licensed from Memorial Sloan Kettering Cancer Center (MSK), is a state-of-the-art data modeling system that allows users to curate clinical ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

The collaboration aims to support informed clinical decision-making, early intervention and patient-centred care.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data is essential for the success of any artificial intelligence (AI) project, but ...

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...

Researchers in Sweden have developed a method to use LiDAR data to enable more precise tilt and azimuth modeling of solar PV and solar thermal capacity at a regional or substation level. The model ...

The AI industry has mostly tried to solve its security concerns with better training of its products. If a system sees lots and lots of examples of rejecting dangerous commands, it is less likely to ...