Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

Explore how Kranthi Kumar Routhu is driving the evolution of AI in human resources through impactful research, innovation in ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

Kranthi Kumar Routhu is redefining Human Capital Management by integrating nearly two decades of Oracle Fusion HCM expertise ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could ...

A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...

The dental industry is entering a transformative phase. The year 2026 would be guided by three interconnected trends: the rise of AI in diagnostics, the adoption of fully digital workflows […] ...

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...

Artificial intelligence has become an integral part of modern cybersecurity operations. As digital threats grow in scale and ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

For years, the East African Community (EAC) has grappled with a familiar set of challenges: slow customs clearance at borders, fragmented data systems, weak coordination among partner ...

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).