Liking features on social media can provide troves of data about human behavior to AI models. But as AI gets smarter, will it ...

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 ...

Researchers have successfully employed an algorithm to identify potential ... and PRINT, a deep-learning-based method to detect these types of footprints of DNA-protein interactions.

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

In a leap forward for astronomy, a researcher has developed an artificial intelligence algorithm and discovered ... Talent Search for combining machine learning with astronomy.

Using machine learning models to predict if patients have chronic kidney disease based on a few features. The results of the models are also interpreted to make it more understandable to health ...

The algorithm of the new machine learning model was trained and tested using data on synthetic planetary systems from the Bern Model. "The results are impressive: the algorithm achieves precision ...

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 ...

This is especially concerning during elections, when local and international actors can use images, text, audio and video content to ... blending deep learning's expressive power with a probabilistic ...

Gatestone Institute senior fellow Gordon Chang highlights his concerns with TikTok and the social media app’s ties to China on ‘Fox Report.’ ...