A new machine learning tool can reduce errors in national flood prediction programming, resulting in more accurate ...

The TIOBE Index is an indicator of which programming languages are most popular within a given month. Each month, we examine ...

Machine learning (ML) is driving a paradigm shift in the prevention and treatment of complex diseases, particularly in cardiometabolic and oncologic care.

Discover how machine learning is helping researchers identify different groups of chronic obstructive pulmonary disease (COPD ...

MIT's AI-infused mechanical engineering class, led by Professor Faez Ahmed, gains popularity for its innovative design ...

The new three-semester program builds on the school’s legacy of cross-training students from both disciplines to achieve powerful results.

Chinmay Govind and Nihar Ballamudi leveraged AI for their project that may help improve protections for whale populations worldwide ...

This is the code of the paper 'Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation' (Accepted by AAAI 2025).

This review explores the recent advancements in enhancing Computational Fluid Dynamics (CFD) through Machine Learning (ML). The literature is systematically classified into three primary categories: ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...