This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized ...

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

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

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions—but there is always room ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

A machine-learning algorithm, catGRANULE 2.0 ROBOT, has been developed to predict the potential of proteins to form toxic aggregates linked to neurodegenerative diseases like ALS, Parkinson's, and ...

An automated machine-learning program developed by researchers ... bone density scans taken during routine clinical testing. The algorithm shortens the timeframe to screen for AAC significantly ...

Genome editing has advanced at a rapid pace with promising ... In their study, authors developed a machine learning algorithm -- known as PAMmla -- that can predict the properties of about 64 ...

Artificial Intelligence (AI) has already made significant strides across various sectors, and finance is no exception. With the rapid development of machine learning (ML), AI is beginning to reshape ...