A deep learning scientist whose last startup was acquired by Snap to build its My AI chatbot has raised seed funding for his ...

Instead of finding true medical insights, these algorithms sometimes rely on irrelevant factors — leading to misleading ...

That makes generative AI too untrustworthy for many users, particularly businesses and governments. And if AI is to evolve ...

Researchers have successfully developed a deep learning model that classifies pancreatic ductal adenocarcinoma (PDAC), the ...

“This goes beyond bias from clues of race or gender,” said Brandon Hill, a machine learning scientist and study co-author.

The swift progress of artificial intelligence (AI) has simplified the creation and deployment of AI agents with the help of ...

The modern microchip stretches both the limits of physics and credulity. Such is the atomic precision, that a few atoms can ...

Chirag Gajiwala aptly describes the rise of deep learning and neural networks is more than a technological advancement it is ...

In an interview, Palak Dave discussed how artificial intelligence, using deep learning to analyze bone marrow aspirate smear ...

Modern artificial intelligence systems rely on deep neural networks (DNNs) that demand immense computational resources.

A new photonic chip designed by MIT scientists performs all deep neural network computations optically, achieving tasks in ...

In recent years, the rapid development of blockchain and artificial intelligence (AI) technologies has brought unprecedented ...