AI algorithm identifies cells across diverse biological images, cutting hours of manual labeling

Imaging is a critical technique in biology—from identifying cancerous cells in biopsies to observing how immune cells like ...
Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
IEEE

High-Precision Centroid Extraction for Space Targets by GNC and Image Processing Integration

Abstract: Centroid extraction from satellite images is crucial for satellite positioning, target tracking, and attitude analysis. This paper proposes a satellite image high-precision centroid ...
Nanowerk

All-optical morphological image processing at the speed of light

(Nanowerk Spotlight) In the age of big data, we are generating more images than we can actually process. Autonomous vehicles, medical scanners, and quality control systems rely heavily on ...
Purdue University

‘More than just an image’: Purdue tech extracts hyperspectral info from conventional photos

WEST LAFAYETTE, Ind. — Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality control, and medical diagnostics could benefit from a ...
Scientific Research Publishing

Wilson, A. and Anwar, M.R. (2024) The Future of Adaptive Machine Learning Algorithms in High-Dimensional Data Processing. International Transactions on Artificial Intelligence ...

ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...