In an era dominated by social media, misinformation has become an all too familiar foe, infiltrating our feeds and sowing seeds of doubt and confusion. With more than half of social media users across ...

In the lower part of the figure, it can be seen that L2O leverages on a set of training problem instances from the target optimization problem class to gain knowledge. This knowledge can help identify ...

Irina Raicu is the director of the Internet Ethics program (@IEthics) at the Markkula Center for Applied Ethics. Views are her own. The following is a lightly edited version of comments made as part ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...

ChatGPT and other solutions built on Machine Learning are surging. But even the most successful algorithms have limitations. Researchers have now proven mathematically that apart from simple problems ...

A new study published in the Journal of Experimental Psychology: General suggests that personalization algorithms used by online content platforms may actively hinder the learning process. The ...