Quantum dots reveal entropy production, a key measure of nanoscale energy dissipation

In order to build the computers and devices of tomorrow, we have to understand how they use energy today. That's harder than ...

The algorithm is the new career counsellor: Reaching the 2026 student in a search-less world

At the turn of the millennium, choosing a uni was a tactile ritual. With a highlighter in hand, I relied on the "thud" of a ...
IEEE

Solving Mixed Integer Linear Programs by Monte Carlo Tree Search

Abstract: Mixed Integer Linear Programs (MILPs) are powerful tools for modeling and solving combinatorial optimization problems. Solving an MILP is NP-hard due to the integrality requirement, and the ...
FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

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 ...
The Bowdoin Orient

Former NFL lineman John Urschel discusses the challenges and history of algorithms

Urschel involved the crowd in his explanation of linear systems. He used an example problem of finding the ages of two ...
IEEE

Diophantine Equation and the Euclidean Algorithm: Methods and Philosophy of the Algebraic Approach to Linear Multivariable Control [Lecture Notes]

Abstract: The story behind the Euclidean algorithm and its relationship to the solution of the Diophantine equation is examined in this article. The Euclidean algorithm appears in Proposition 2 in ...