High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

New algorithms for trajectory planning and control of fixed-wing 'tailsitter' aircraft are faster and more efficient than traditional quadcopter drones. The algorithms can execute challenging ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When it comes to AI, algorithmic innovations are substantially more ...

Predictive modeling by tumor type: Comparing performance and feature importance of machine learning–based predictive models in patients with hematologic and solid tumors. This is an ASCO Meeting ...

SHENZHEN, China, March 17, 2025 /PRNewswire/ -- MicroAlgo Inc. (NASDAQ: MLGO), (the "Company"or "MicroAlgo"), today announced the introduction of an innovative solution: a multi-simulator ...

Sept. 20, 2022 — Today, the U.S. Department of Energy announced $8.5 million in funding for basic research in the development of randomized algorithms for understanding and improving the properties ...

A tailsitter is a fixed-wing aircraft that takes off and lands vertically (it sits on its tail on the landing pad), and then tilts horizontally for forward flight. Faster and more efficient than ...

NEW YORK--(BUSINESS WIRE)--Dandelion Health, Inc., a startup offering a healthcare data platform that specializes in artificial intelligence and precision analytics, announced today the launch of a ...

When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.

A machine-learning algorithm demonstrated the capability to process data that exceeds a computer’s available memory by identifying a massive dataset’s key features and dividing them into manageable ...