Scientists at St. Jude Children's Research Hospital have created a database that provides updated predicted structures on a ...

The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...

GenAI is super advanced – but it doesn’t replace predictive AI, it only augments it. The two will remain intrinsically ...

Machine failures in agriculture can threaten the harvest and livelihoods. Smart sensors and AI-powered maintenance are ...

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

The Global AI in Predictive Toxicology Market is estimated to be valued at USD 635.8 Mn in 2025 and is expected to reach USD 3,925.5 Mn by 2032, exhibiting a compound annual growth rate (CAGR) of 29.7 ...

AI drives decision inputs: In 2025, both big pharma and small pharma use advanced predictive modeling, digital twins, and AI-powered analytics throughout R&D and regulatory processes. This reduces ...

Discover how Subrahmanyasarma Chitta's IoT-based healthcare system is revolutionizing global medicine through real-time ...

We don’t just need AI regulation—we need AI morals. Every technology carries a philosophy, whether we care to admit it or not ...

Understanding the differences between probabilistic and deterministric AI will help manufacturers make more informed choices and achieve measurable results.

Dietitians are not just end-users of AI tools. They can be cocreators, leaders, and subject matter experts on AI projects. In ...

How can AI be used to fundamentally transform our business? At the forefront are Frontier firms — empowering human ambition and finding AI-first differentiation in everything to maximize their ...