Hyderabad: An artificial intelligence model trained on patient data from the Uddanam region of Andhra Pradesh has predicted ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...

AI and ML are the driving forces behind various industries across the globe. The Professional Certificate course of Purdue ...

The predominance of negative sentiment aligns with early public reactions to transformative technologies, where concerns about privacy, job loss, misinformation and ethical boundaries often amplify ...

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.

Ben Shipway and Caroline Bain are Strategic Heads, leading model development teams at the Met Office. In this blog, they outline the potential future blend of AI and physics-based models, as well as ...

AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...

Abstract: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...

Brittany Mahomes shared what “sideline chaos” looks like while cheering on husband Patrick Mahomes and the Kansas City Chiefs ...

Abstract: Autism Spectrum Disorder (ASD) is a developmental disorder that affects a child’s cognitive capabilities and impacts social interaction and communication. Precise and timely diagnosis is ...

The paper identifies three major areas in which AI is now vital. These include financial market prediction, macroeconomic ...