Summary: Researchers trained an AI to determine which psychotropic agent a zebrafish had been exposed to based on the animal's behaviors and locomotion patterns. Neuroscientists from St. Petersburg University, led by Professor Allan V. Kalueff, in collaboration with an international team of IT specialists, have become the first in the world to apply the artificial intelligence (AI) algorithms to phenotype zebrafish psychoactive drug responses. They managed to train AI to determine--by fish response--which psychotropic agents were used in the experiment. The research findings are published in the journal Progress in Neuro-Psychopharmacology and Biological Psychiatry. The zebrafish (Danio rerio) is a freshwater bony fish that is presently the second-most (after mice) used model organism in biomedical research.

Artificial intelligence (AI) may be among the latest buzzwords in finance, but applying it to investment decision making will disrupt the industry and benefit those investors who harness its power. If used correctly, AI can add high alpha potential within a more stable modeling framework. AI is the basis for a different quantitative investment paradigm. It is a nonlinear, high-dimensional learning approach that typically seeks to replicate human reasoning. One interpretation of this new paradigm can be thought of as learning (and learning to apply) "Graham and Dodd"–style systematic rules.

The Air Force by the end of 2016 will have a beta version of a website that serves as an artificial intelligence (AI)-driven contracting officer, according to a key official.Air Force Assistant Secretary for Acquisitions Camron Gorguinpour said Friday the project,… You must be logged in as a subscriber to view this page. Please log in below to access the content. If you are already a Defense Daily subscriber or registered user, login here.