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

Microsoft prepares for security in a world where our old codes are easily broken. Get familiar with these technologies now before they become necessary.

Discover what cryptographic hash functions are, how they work, and where they’re used. Learn about secure hashing algorithms ...

To improve the comprehensiveness of hash algorithms, an image hash combining multidimensional features and spatial structure is proposed. Firstly, the multidimensional feature matrix is constructed ...

In an era where telling humans apart from AI bots online is increasingly critical, World ID, developed by Tools for Humanity, ...

Perceptual image hashing is an effective and efficient way to identify images in large-scale databases, where two major performances are robustness and discrimination. A better tradeoff between ...

The compact morphology, low entropy, a Predicts fossil galaxies at z > 15 using non-singular relativity; simulates 180 Gyr; self-refutes if data contradicts its metric evolution. We’re not discarding ...

PhoSim simulates the atmosphere, including air turbulence, as well as distortions from the shape of the telescope’s mirrors and the electrical properties of the sensors. The photons are propagated ...

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

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.