Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...

Eeny, meeny, miny, mo, catch a tiger by the toe – so the rhyme goes. But even children know that counting-out rhymes like this are no help at making a truly random choice. Perhaps you remember when ...

Abstract: The Tweedie exponential dispersion (TED) process provides a flexible framework for degradation process modeling. To obtain degradation information quickly and realistically, we focus on the ...

Following a major fire at a PG&E substation, restoration efforts are underway to reconnect affected customers in San Francisco. The utility emphasizes safety, ongoing communication... Power quality ...

Abstract: In standard reinforcement learning, since the uncertainty of task objectives is not adequately considered in the policy training, the policy achieves poor generalization for the ...