Tech

M.C. Escher’s artwork is a gateway into a world of depth-defying optical illusions, featuring “impossible objects” that break the laws of physics with convoluted geometries. What you perceive his illustrations to be depends on your […]

When it comes to cybersecurity, humans are often seen as the weakest link, but new research suggests that with a little help, people can do a surprisingly effective job at identifying malware.This post was originally […]

A code-reuse attack named coroutine frame-oriented programming (CFOP) is capable of exploiting C++ coroutines across three major compilers, namely Clang/LLVM, GCC and MSVC. CFOP even succeeds in environments that are protected by control flow integrity […]

LLMs that emulate human speech are being used to cost-effectively test assumptions and run pilot studies, producing promising early results. But researchers note that human data remains essential.This post was originally published on this website.

Lighting plays a crucial role when it comes to visual storytelling. Whether it’s film or photography, creators spend countless hours, and often significant budgets, crafting the perfect illumination for their shot. But once a photograph […]

A new artificial intelligence (AI) tool could make it much easier—and cheaper—for doctors and researchers to train medical imaging software, even when only a small number of patient scans are available.This post was originally published […]

Guilt is a highly advantageous quality for society as a whole. It might not prevent initial wrongdoings, but guilt allows humans to judge their own prior judgments as harmful and prevents them from happening again. […]

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer […]

Faulty ranking mechanisms used in AI leaderboards can be overcome through approaches evaluated at the University of Michigan.This post was originally published on this website.

To confront bias, scientists say we must examine the ontological frameworks within large language models—and how our perceptions influence outputs.This post was originally published on this website.