Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Aristotle’s early insights into action and reaction anticipated complexities beyond Newton’s third law, revealing timeless wisdom.

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Researchers at Santa Clara University have developed a comprehensive mathematical framework to rigorously analyze and predict ...

Harnessing the power of the sun holds the promise of providing future societies with energy abundance. To make this a reality, fusion researchers need to address many technological challenges. For ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Quantum physics may sound abstract, but Ph.D. candidates Kirsten Kanneworff and David Dechant show that quantum research can also be very concrete. Together, they are investigating how quantum ...

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...

Abstract: Reachability analysis is a formal method that rigorously proves whether a dynamical system can reach certain states. Inner approximations of the exact reachable set contain only states that ...

Brian Beers is a digital editor, writer, Emmy-nominated producer, and content expert with 15+ years of experience writing about corporate finance & accounting, fundamental analysis, and investing.

Abstract: Nonlinear Programs (NLPs) are prevalent in optimization-based control of nonlinear systems. Solving general NLPs is computationally expensive, necessitating the development of fast hardware ...