One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

With fake images, we can customize the exact properties of the objects in the image. That way, we can see if the algorithms we’re training can uncover those properties correctly.

Encryption is essential for protecting data, with both symmetric and asymmetric methods offering unique advantages.

It turns out that the teens we interviewed believe social media algorithms like TikTok’s have gotten so good that they see the reflections of themselves in social media as quite accurate.