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

As generative AI continues reshaping industries worldwide, enterprises are accelerating adoption across production, ...

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

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

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 ...

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 ...

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 ...

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 ...

SYDNEY, Jan. 3, 2026 /PRNewswire/ -- Samsung Electronics has begun unveiling hero products that will join its 2026 line-up, ahead of CES 2026 – the world's largest IT and consumer electronics show ...

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

By fusing behavioral data, real-time analytics and generative AI, the industry is entering a new era: attention hacking at scale.