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

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Algorithms shape search, social media, and reputations, prioritizing relevance, engagement, quality, and machine ...

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 ...

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

High-power lasers are promising tools for developing new solutions for healthcare, manufacturing and nuclear fusion. However, says the Strathclyde group, “these are becoming large and expensive owing ...

New capabilities to be launched on March 25Unique technology bolsters BullFrog AI’s end-to-end AI intelligence workflow with a scenario-based decision engineAdvances current AI decision tools by ...

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.

By Eric Butterman SHARE From autonomous cars to video games, reinforcement learning (machine learning through interaction ...

Synthetic technologies are reshaping the legal landscape, presenting expert witness reporting with a pivotal challenge: integrating the ...

Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine learning framework. Researchers in Physics and Computer Science at the University ...

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