Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

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

Laid-off and sidelined by last year's production slowdown, Hollywood visual‑effects veteran Michael Eng discovered a gap in ...

These new AI assistants can analyze design constraints and create custom machine learning models as well as read, import and display point cloud data augmented with AI ...

Every industrial revolution begins by creating a new middle class. The steam engine, for example, didn’t just replace blacksmiths; it generated a workforce of machinists, engineers and factory ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

From antibiotic resistance to emerging viral threats, the global demand for new medicines is intensifying, yet traditional drug discovery pipelines remain slow and expensive. A new scientific review ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

AI has fundamentally altered how teams think about mobile software, moving the focus from feature accumulation to long-term ...

How will you know your AI agent is ready to launch? Here’s the release-readiness checklist every devops team needs.