After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

They created a “periodic table” of over 20 classical machine-learning algorithms, showing how they are all connected through ...

Using AI to enhance e-governance requires overcoming ethical dilemmas and security risks alongside operational hurdles to ...

Machine learning-powered security systems should be used as a tool, not as a replacement for security teams for web apps.

The real estate lending landscape is changing fast with the advent of machine learning (ML) and artificial intelligence (AI). For decades, risk assessment in th ...

"The algorithm achieves precision values of up to 0.99, which means that 99% of the systems identified by the machine-learning model have at least one Earth-like planet." ...

MIT researchers have recently unveiled an innovative framework that organizes artificial intelligence (AI) algorithms in a ...

"In hyperspectral imaging, there are common machine learning models being used ... Wang said the study offers an example of how to use new algorithms to mine data and dig into key information.

Researchers can use unlabeled bio-signal data as a warmup for the machine learning algorithm. This warmup, or pre-training, primes the machine learning algorithm to find a relationship between the bio ...