The Next Gen Stats analytics team explains new advanced metrics for the 2025 NFL season, including Coverage Responsibility ...

By using explainable AI, the study identifies not only which skills define each cluster but also the relative importance of these skills in classification decisions. This level of interpretability ...

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any ...

Standard concurrent chemoradiotherapy (CCRT) for cervical cancer achieves disease-free survival (DFS) in approximately 70% of ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

Discover how multi-agent AI systems are transforming industries with real-time optimization and collaboration, guided by Andrew Ng’s insights.

Researchers developed a deep learning-based multimodal prognostic model that shows strong potential to improve disease-free ...

Machine Learning-based weather models have the potential to revolutionise global seasonal forecasting, according to new Met ...

In July, EPFL, ETH Zurich, and CSCS announced their joint initiative to build a large language model (LLM). Now, this model ...

In June, Google DeepMind took the wraps off AlphaGenome, its latest machine learning model for biological discovery. While ...

To address such issues of cultural inclusion in AI, the field has attempted to incorporate cultural knowledge into models ...

Reinforcement learning (RL) [6] stands out as a powerful ML technique for training agents to achieve optimal behaviour in ...