A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help ...

Genetic algorithms are so much fun. I was playing around with them on the Commodore 128 back in the day, as an experiment for enhancing the gameplay for a type-in game from RUN Magazine.

New machine learning algorithm promises advances in computing. ScienceDaily. Retrieved July 23, 2025 from www.sciencedaily.com / releases / 2024 / 05 / 240509155536.htm. Ohio State University.

Basic Materials. Communication ... A Resource-Efficient Quantum Algorithm for Linear Systems of Equations. PR Newswire . Thu, Dec 19, ... VQAs are widely applied in fields such as quantum machine ...

Microsoft’s efforts have some echoes of forays into DFT by Google DeepMind, which released a machine learning functional (Science 2021, DOI: 10.1126/science.abj6511) to significant fanfare ...

Lara Anderson, a physicist at Virgina Tech, helped develop machine learning algorithms to approximate the shapes of Calabi-Yau manifolds. Laura Schaposnik Now, a fresh generation of researchers has ...

• Machine learning (ML) algorithms can analyze enormous volumes of financial data in real time, allowing them to spot patterns and trends and make more informed trading decisions.