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

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

Artificial Intelligence, Sustainability, The Race to Net Zero, Net Zero Carbon Emissions, Sustainable Development Goals, Real ...

Machine learning (ML) has become a critical driver of business success in today's world. This technology enables machines to perform complex tasks without explicit human programming by analyzing data ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm ... In this case, we’re training the algorithm to predict when that heartbeat will occur.

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

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 ...

The researchers say machine learning gives them more freedom to study the data. Older methods expect things to follow a ...

In research published today in the New England Journal of Medicine AI, Cambridge researchers developed a machine learning algorithm to classify biopsy image data ... focused on training a system ...

Meta recently assured that it will honor the choice of users who don’t want their data to be used for ... the company revealed that it was training AI algorithms using the millions of pictures ...