This work marks the first practical use of boson sampling, long seen as a key demonstration of quantum computing’s potential to outperform classical methods. The researchers used computer simulations ...

This manuscript provides valuable information on the neurodynamics of emotional processing while participants were watching movie clips. The methods and results were solid in deciphering the ...

The training of molecular models of quantum mechanical properties based on statistical machine learning requires large data sets which exemplify the map from chemical structure to molecular property.

Linear impulsive control systems have been extensively studied with respect to their equilibrium points which, in most cases, are no other than the origin. However, the trajectory of an impulsive ...

Optical signal processing (OSP) has the potential to enable line-rate processing functionalities in optical communication networks through direct operation on optical data and avoidance of ...

At the AI Action Summit in Paris earlier this year, Meta's chief AI scientist, Yann LeCun, said he'd like to see a world in which "we'll train our open-source platforms in a distributed fashion ...

In the college baseball's new data age, standing still isn't an option. As Jacob Rudner reports, top programs have leaned heavily into analytics and models.

Snorkel has faced macro challenges too: As AI models like those powering ChatGPT got better, they could label data on a massive scale for free, shrinking the size of the market further.