Extended educational sessions that offer attendees the opportunity to learn research methods and techniques from prominent psychological scientists.

Concr CEO Irina Babina and CTO Matthew Griffiths unpack how Bayesian foundation models can excel at uncertainty management to ...

In the 20th-century statistics wars, Bayesians were underdogs. Now their methods may help speed treatments to market.

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 ...

Creative inventions and ideas that show next-level thinking. Iran hangs 3, including teen wrestler, in first executions over Jan. protests 'Bait and switch': Dems storm out of GOP's 'fake' Bondi ...

Struggling with a problem that seems to require trigonometry? This lesson shows how to solve it without using trigonometry, using two easy methods anyone can apply. With clear logic and step-by-step ...

Incrementality testing in Google Ads is suddenly within reach for far more advertisers than before. Google has lowered the barriers to running these tests, making lift measurement possible even ...

Anonymous social media users can now use large-language models (LLMs) to know the likelihood of someone guessing their identity based on the information they disclose in their posts. That’s because a ...

Receive the the latest news, research, and presentations from major meetings right to your inbox. TCTMD ® is produced by the Cardiovascular Research Foundation ® (CRF). CRF ® is committed to igniting ...

Abstract: When realizing multiagent optimal consensus control, it may encounter the situation that malicious agents transmit false information. Besides, due to the unreliability of information ...

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.