Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to artificial intelligence ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

An intensive programme on reinforcement learning, brought together 60 international participants including students, ...

A University of Idaho lab received $1.3 million from the Department of Defense to study early detection methods for post-traumatic stress disorder and military family stressors using machine learning ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Existing technology is being upcycled and deployed in new ways as companies seek to measure more data, more accurately.

Khronos announces glTF Gaussian Splatting extension. Cross-platform baseline for storing 3D Gaussian Splats in 3D asset ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...