A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...

As organizations increasingly rely on algorithms to rank candidates for jobs, university spots, and financial services, a new method, named hyperFA*IR, offers a more principled approach when picking ...

Amidst stalled talks, DiJonia Carington called the move “greedy” on the Underground Lounge podcast. Moreover, she believes both the WNBA and Unrivaled can exist ...

Across industries, HR leaders are facing a new reality: Machines are not just supporting HR—they are now shaping it. Generative AI is writing job descriptions, scanning resumes, curating training ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

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 ...

Abstract: The standard Bayesian optimization algorithm encounters the curse of dimensionality in high-dimensional problems. The difficulty of optimizing the acquisition function increases, resulting ...

Researchers have used the jellyfish search algorithm to optimize solar PV distributed generation placement and sizing. They have tested the algorithm on an IEEE 33-bus system, with one, two, or three ...

While it was once something only Wall Street players could afford, algorithmic trading is now accessible to smaller investors and startups. Algorithmic trading is when you use computer programs to ...