The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

Some representations make it easier to learn tasks (e.g., face recognition or spoken word recognition) from examples. One of the promises of deep learning is replacing handcrafted features with ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

One of the most striking claims in the review is that AI-based classification models can meet or exceed the performance of expert radiologists in diagnosing ILDs, particularly in identifying patterns ...

These platforms, equipped with deep learning algorithms, have opened a world of possibilities, enabling smart devices, autonomous systems, and intelligent applications. The deployment of deep learning ...

A team of US researchers, studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) said they have ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an ...