Next we propose a tractable convex program based on regularized maximum-likelihood for model selection in this latent-variable setting; the regularizer uses both the ℓ₁ norm and the nuclear norm.

Postdoctoral or Doctoral Researcher in statistical signal processing.

Due to the coupling among decision variables and across time slots, solving the optimization problem directly is challenging. Therefore, we design a novel Lyapunov-based algorithm that integrates ...

Today, Altman specifically introduced two core researchers behind the scenes through a blog post: Jakub Pachocki and Szymon Sidor, stating that they have solved numerous challenges in integrating ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

The upcoming “Big Bang Theory” spinoff “Stuart Fails to Save the Universe” has several alums from the OG series on the cast — but some of them are playing new characters.

A Microsoft analog optical computer has solved two optimization problems and shown potential for AI workloads using less energy.

When Donald Trump recently claimed, during what was supposed to be a press conference about an EU trade deal, that wind turbines were a “con job” that “drive whales loco”, kill birds and ...

Mode switching decision and power allocation are both regarded as critical technologies that influence the operational performance of series-parallel hybrid electric vehicles (SPHEV). The inclusion of ...

The lipstick effect is a theory that spending on small indulgences such as premium lipstick increases during periods of recession.

Lead optimization articles from across Nature Portfolio Lead optimization is the process by which a drug candidate is designed after an initial lead compound is identified.

Anjana Susarla is a professor of Responsible AI at the Eli Broad College of Business at Michigan State University.