Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

IIIT-B develops a low-cost webcam tool to track survey distractions, enhancing data reliability in public health and social ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

As we look toward 2026, AI is no longer an experimental concept in the professional art scene but is firmly embedded in many ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on massive datasets, increased the number of parameters, and threw immense ...

Live AI interpreters must grasp meaning, tone, and intent even when sentences unfold slowly or indirectly. Languages differ ...

Dr. Atif Naseer is Co-Founder, bringing a PhD in Machine Learning and over a decade of research in deep learning, crowd analytics, and real-time systems. Shah and Dr. Naseer first met in 2012 in ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...