There’s something almost invisible about the way modern entertainment works. You open a streaming app, glance at a homepage filled with titles you were “just thinking about,” or launch a game that ...

The enterprise AI market is currently nursing a massive hangover. For the past two years, decision-makers have been inundated with demos of autonomous agents booking flights, writing code, and ...

Nitika Garg does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

This project includes two Rubik's Cube solvers, an optimal solver, and a Two-Phase / Kociemba's algorithm solver. The optimal solver takes an average of around 60 seconds to find a minimal length ...

Using data from ten healthy adults, we trained a Gradient Boosting (GB) surrogate model to predict normalized metabolic cost as a function of Peak Magnitude and End ...

As a highly contagious respiratory disease, influenza exhibits significant spatiotemporal fluctuations in incidence, posing a persistent threat to public health and placing considerable strain on ...

Abstract: Non-negative matrix factorization (NMF) is widely used for dimensionality reduction of large datasets and is an important feature extraction technique for source separation. However, NMF ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Antimicrobial peptides (AMPs) have emerged as a promising alternative to conventional ...

What's the problem this feature will solve? We recently introduced the first optimization passes for the MLIR ecosystem we are building #892. Now this opens up a flood of options for implementing ...