Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

MIT created "periodic table" for ML, organizing 20 algorithms by mathematical similarities which discovered of a new image-classification algorithm by 8%.

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and Keras.Growing demand for AI profes ...

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both basic concept ...

Pre-configured to identify normal, high-vibration, and unstable motor conditions STMicroelectronics (NYSE:STM)GENEVA, ...

Researchers develop a 96% accurate AI-powered retinal scan to distinguish between Alzheimer’s and ALS by detecting specific protein deposits.

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green energy systems and electric vehicles (EVs).

The Ontario Brain Institute (OBI) is investing $640,000 in eight new projects through its Centre for Analytics (CfA). The projects create tools to accelerate research, detect brain disorders earlier, ...

Researchers discover how to identify and "teach" tacit knowledge by tracking eye movements and brain activity, potentially revolutionizing how we learn complex skills.

Foundational Breakthroughs in AI Papers 2019 2019 saw the release of some truly game-changing research papers in ...