This valuable study advances our understanding of habituation and related potentiation behavior in a single-celled organism, Stentor. The authors provide convincing evidence for their claims in the ...

Learn why streaks feel predictive, how independent rounds work, and what demo play can reveal about volatility, multipliers, ...

When particles in a sample are the same size, one particle can be measured to report the result. If the sample has a narrow distribution, such as 10-25 µm, then measurement of just a few particles can ...

Picking a press release distribution service feels a lot like shopping for phone plans. Every provider claims the widest reach and the best value. Then you read the fine print and realize the ...

Probability underpins AI, cryptography and statistics. However, as the philosopher Bertrand Russell said, “Probability is the most important concept in modern science, especially as nobody has the ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Gordon Scott has been an active investor and technical analyst for ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine a newly revealed technique in ...

People often have their decisions influenced by rare outcomes, such as buying a lottery and believing they will win, or not buying a product because of a few negative reviews. Previous research has ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this work, we introduce auxiliary discriminator sequence generative adversarial ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...