Deep learning works by using multilayered neural networks. To make sense of the data they are fed, such as photos, neural ...

Artificial intelligence (AI) has emerged as one of the most transformative technologies of our time. Its roots can be traced ...

An AI developer will need to hone skills required to monitor algorithmic output, learn to apply critical thinking and measure ...

Essential vocabulary to understand emergence of AI With global leaders set to attend a summit on artificial intelligence (AI) in Paris on February 10-11, here are some of the key concepts in the field ...

Machine vision is vital for industrial automation, providing essential image analysis amid labor shortages. Effective ...

Yet the far-fetched belief that AGI is nigh prevails and fuels AI hype. OpenAI optimistically boasts AGI as its stated ...

The use of artificial intelligence (AI) technology in the workers’ compensation arena is on the horizon. Given the scale of AI applications and ...

This Engineering Sciences MS with a course focus on Artificial Intelligence (AI) is a multidisciplinary program designed to train students in the areas of machine learning, programming languages, deep ...

As smart grids rely on vast amounts of data from sensors, meters, and distributed energy resources, effective data management ...

MIT researchers developed an automated system that optimizes deep-learning models by leveraging both sparsity and symmetry in ...

AI can deliver huge benefits to chemistry, but some also worry about the turbulence it might bring to the job market ...

A collaboration between the Ragon Institute and MIT’s Jameel Clinic has led to the development of MUNIS, a deep learning tool that significantly enhances T cell epitope prediction, accelerating ...