Learn why effective AI compliance programs rely on concise, evidence-based checklists that remain useful as models, ...

Capital flows across digital asset markets are shifting rapidly as traders pivot away from speculative noise toward proj ...

Abstract: The forecast errors for distributed energy resources (DERs) and hourly demands have contributed to power system uncertainties and additional risks in the day-ahead scheduling of electricity ...

Abstract: This paper deals with the problem of clearing sequential electricity markets under uncertainty. We consider the European approach, where reserves are traded separately from energy to meet ...

Recently, a technique called equality saturation adapted e-graphs for program optimization. Equality saturation can ...

Lemonade's lower reinsurance cessions materially improved net expense absorption, but operating expenses still increased. Learn why LMND stock is a sell.

The capabilities of large AI systems are constantly improving, but they consume a great deal of energy during training and ...

Edited by Hee-Sup Shin, Institute for Basic Science, Daejeon, South Korea; received January 9, 2025; accepted August 27, 2025 Spontaneous Ca 2+ signals in astrocyte before TBS stimulation. Astrocytes ...

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CovidSim models the transmission dynamics and severity of COVID-19 infections throughout a spatially and socially structured population over time. It enables modelling of how intervention policies and ...

I am a research scientist at Google Brain. I graduated from SCS of CMU, with a PhD in Machine Learning and an MSc in Lanugage Technologies, advised by Jaime Carbonell and Alex Smola.

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