Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

What if cattle were selected not only for their productivity, but also for their resistance to disease? A study conducted by ...

The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...

For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built ...

Calsoft introduced an AI-powered approach to Test Impact Analysis that eliminates unnecessary test executions in CI/CD ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

New IRS automation is accelerating audits, levies, and wage garnishments, prompting tax professionals to reassess how ...

Most active fund managers can’t beat the S&P 500 over time. Now AI wants the job. Here’s what the research actually shows.

Before any system goes live, leaders should pause and ask what kind of decisions they are delegating to AI. Some problems are mechanical and bounded and ripe for AI assistance. Others depend on local ...

Satellite-based hydrology, particularly leveraging the GRACE and GRACE-FO missions, has revolutionized our understanding of ...

Market valued at $27.64B in 2024, projected 3.94% CAGR growth driven by petroleum refining, green chemistry, biocatalysts, and environmental catalyst demand.

In the high-stakes world of pharmaceutical innovation, the journey from regulatory approval to patient impact often faces ...