News

Major topics include image processing, detection and recognition ... and "Principles of Imperative Computation" (15-122) (OR) "Matrix Algebra with Applications" (21-240) and "Matrices and Linear ...
Engineers at the UCLA Samueli School of Engineering have introduced a universal framework for point spread function (PSF) engineering, enabling the synthesis of arbitrary, spatially varying 3D PSFs ...
action-oriented agentic applications. These enhancements include support for remote Model Context Protocol (MCP) servers, integration of image generation and Code Interpreter tools, and upgrades ...
Deep learning (DL) has revolutionized the field of biomedical image processing, driving forward the capabilities ... The focus is on the application of deep learning to improve early disease detection ...
Further advanced topics may be covered if time allows. Applications of linear algebra may be introduced to bolster the theoretical discussion.
ABSTRACT: The issue of poor waste management in rural communities is still a challenge and whose practices are still elementary in developing countries. This paper evaluates and assesses the solid ...
It brings multimodal capabilities to edge devices without relying on cloud processing. This is a significant ... “MedGemma works great across a range of image and text applications,” Martins explained ...
Image processing is manipulation of an image that has been digitised and uploaded into a computer. Software programs modify the image to make it more useful, and can for example be used to enable ...
Being familiar with linear algebra and parameter optimization is sufficient to jump-start deep learning. Adopting a pragmatic approach, basic and advanced applications in physics research are ...
and then voxel-wise kinetic parameters are iteratively estimated by a kinetic-domain penalty using a local linear fitting (LLF) that utilizes a full-dose static image as a prior in the penalty. In our ...
For advanced math students, these AI-powered applications offer an opportunity to explore challenging topics and push their boundaries. Whether it's tackling calculus, linear algebra, or statistics, ...