Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

American youths’ rapid turn to artificial intelligence tools for school work is prompting a more expansive approach to AI literacy that focuses on building their agency and responsible use.

When the prestigious academically selective Sydney Grammar School banned laptops in the classroom and described the billions of dollars spent on computers in Australian schools as a “scandalous waste ...

Quantum computing could be one of the big technological revolutions of the coming decades. EPFL is working on making it ...

Students and faculty with a passion for robotics are making Michigan Tech a destination for all things robots and automation. To meet the needs of a quickly evolving industry, the University's ...

Leo Martinez taught himself to code, built trading algorithms, and realized the same infrastructure could solve a different problem entirely. A useful way to understand what Leo Martinez builds: think ...

Pomerantz LLP announces that a class action lawsuit has been filed against ODDITY Tech Ltd. ("Oddity" or the "Company") and certain officers. The class action, filed in the United States District ...

A persistent tension exists between the drive for rapid technological advancement, the mandate for government oversight, and the paramount importance of patient safety. This dynamic which scrutinized ...

After selling his AI startup to AMD for $665 million, Peter Sarlin is back with QuTwo, a new venture building the infrastructure it believes enterprises will need when quantum computing finally ...

Researchers at OpenAI and Ginkgo Bioworks showed that an AI model working with an autonomous lab can design and iterate real ...

Developers of the computer game Doom released the game's code in 1997, allowing scientists to use it as part of their research. Credit: id Software via ArcadeImages/Alamy. When th ...

While beating an AI at a board game may seem relatively trivial, it can help us identify failure modes of the AI, or ways in which we can improve their training to avoid having them develop these ...