[Editor’s Note:  Army Mad Scientist has extensively explored how Artificial Intelligence and Machine Learning (AI/ML) can be harnessed to enhance our Warfighters’ ability to fight at machine speed and sustain our decisive Soldier overmatch. But as frequent contributor COL Stefan J. Banach (USA-Ret.) has noted, the evolution and convergence of technologies has added a new non-kinetic battle space to conventional warfare, which in turn requires the recruiting and retention of adaptive Warfighters, with highly-tuned aptitudes for tactical innovation and rapid, decisive decision-making. The challenge facing the Army is how to effectively identify and then screen for these and other requisite talents. Today’s episode of The Convergence podcast features our interview with Mr. Loran Ambs, Chief Technology Officer, Ideal Innovations, Inc., regarding his company’s research into measuring the distinctive characteristics of innate talent, identifying potential high performers, and how the Army can harness AI/ML to screen and match these high performers with specialty vocations — Read on!] Mr. Loran Ambs serves as the Chief Technology Officer for Ideal Innovations, Inc.  He supports the development and implementation of innovation processes at I-3 and DoD customer sites.  Mr. Ambs participates in the conception, development, and transition of technical solutions for problems affecting operations of the DoD and intelligence communities.  He conducts basic and applied research into techniques using measures of brain activation for the discovery of traits, aptitude, knowledge, interest, familiarity, group association and compatibility applied to selection and assessment of individuals for in military, government, academic and commercial environments. Mr. Ambs is inventor or co-inventor of more than 30 issued U.S. patents including several related to brain activation matching, brain matched compatibility, and knowledge discovery.    Mr. Ambs previously served as the on-site PM in Afghanistan for the installation and operation of stand-off biometric data collection, remotely operated ISR systems, wireless data communication, data fusion, aggregation and presentation capabilities leading to increased safety and effectiveness of our soldiers and coalition partners.  He served as the Chief Scientist for the Joint Improvised Explosive Device Defeat Organization (JIEDDO) in which he participated in the identification, acquisition, development, test, and transition of solutions for the detection, neutralization, and mitigation of IEDs.  He collaborated with the DoD Service branches, DoD labs, National Labs, operational units, Congressional staffers, Defense Science Board, Army Science Board, National Academies, JASONS, industry, and academic institutions to focus the Nation’s resources on defeating IEDs. Army Mad Scientist sat down with Mr. Ambs to discuss his company’s research into measuring the distinctive characteristics of innate talent, identifying potential high performers, and how the Army can harness AI/ML to screen and match these high performers with specialty vocations (e.g., pilots, special operators, and other select duty positions).  The following bullet points highlight key insights from our conversation: Training is expensive – it costs $13 million to train one F-35 pilot –