Today's most powerful computers hit a wall when tackling certain problems, from designing new drugs to cracking encryption ...

A new metasurface design lets light of different spins bend, focus, and behave independently—while staying sharp across many ...

Following a successful Kickstarter last year, a combination tuner, string winder and metronome is now available to buy. There's been a Roadie in my gig bag since the first iteration landed 10 years ...

In the context of the rapid development of computer hardware and the continuous improvement of the artificial intelligence and deep learning theory, aiming at the traditional numerical solution method ...

Users can note which content they would like to view more frequently. Instagram is handing users some control in deciding what content they see. The social media giant is allowing users to have a say ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

new video loaded: I’m Building an Algorithm That Doesn’t Rot Your Brain transcript “Our brains are being melted by the algorithm.” [MUSIC PLAYING] “Attention is infrastructure.” “Those algorithms are ...

Instagram is rolling out a new test that lets select users fine-tune what they’d like to see in their Reels and Explore feeds. Here’s what it looks like. Instagram lead Adam Mosseri took to Threads ...

Hyperparameter tuning is critical to the success of cross-device federated learning applications. Unfortunately, federated networks face issues of scale, heterogeneity, and privacy; addressing these ...

Abstract: Software defect prediction (SDP) is crucial for delivering high-quality software products. The SDP activities help software teams better utilize their software quality assurance efforts, ...

Supervised Fine-Tuning (SFT) is a standard technique for adapting LLMs to new tasks by training them on expert demonstration datasets. It is valued for its simplicity and ability to develop ...