Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Machine learning algorithms face two main constraints: Memory and processing speed. Let’s talk about memory first, which is usually the most limiting constraint. A modern PC typically has ...

Machine learning classifies biomolecules. With these measures in place, the algorithm identified the compound NaBaB₉O₁₅ as having both one of the highest Debye temperatures and largest bandgaps in the ...

The main reason for that is that debugging machine learning decisions or AI decisions, if you want, if you like, is incredibly hard, especially when you have … multiple layers of neural networks.

Deep learning is a subcategory of machine learning algorithms that use multi-layered neural networks to learn complex relationships between inputs and outputs. The more layers in the neural ...

ADELPHI, Md.-- Army researchers discovered a way to quickly get information to Soldiers in combat using new machine learning techniques. The algorithms will play a significant role in enhancing ...

Machine-Learning Algorithm Combs the Darknet for Zero Day Exploits, and Finds Them The first machine-based search of online hacker marketplaces identifies over 300 significant cyberthreats every week.

Machine learning has returned with a vengeance. I still remember the dark days of the late '80s and '90s, when it was pretty clear that the current generation of machine-learning algorithms didn't ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University ...