Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

Policymakers across Europe and the United States are moving to classify many clinical AI tools as high-risk systems, ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

NOAA is using those traditional forecasting models as frameworks for its new AI forecasting systems. The agency has estimated ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

AI is cementing itself as a vital, part of our world and it is clear there is a need to adapt to an AI world or risk getting ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...

This course explores the foundations of wearable technology and how it shapes healthcare, fitness, and everyday ...

Xiangyi Li saw this gap during his work at Tesla and in research projects across universities. Rather than accept the inefficiency, he founded BenchFlow, a platform designed to make AI model ...