Microsoft open-sources multimodal reasoning model with 15B parameters

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...
IEEE

Genetic Algorithm-Based Two-Step Optimization for Precise Latent Factor Analysis

Abstract: The latent factor analysis (LFA) model is an effective tool for extracting valuable information from high-dimensional and sparse (HiDS) matrices. However, traditional LFA usually suffers ...
Orange County Register

Larry Wilson: Dear Algorithm, We know you know what’s best

All your social media feeds come from, where else, our great state of California, those entertaining apps on your phone and your laptop, useful, time-consuming ...
Privacy International

PI alerts regulator about the use of algorithms by the UK Government and their impact on migrants

UK Home Office’s uses two algorithms for immigration purposes seemingly without sufficient safeguards to protect the right to privacy and meet data protection standards. Migrants appear to be subject ...
Charlotte Observer

How Charlotte’s big 3 banks use AI to cut jobs and costs in push for growth

Charlotte’s top banking giants, Bank of America, Wells Fargo and Truist, are charting growth based on efficiency, which includes cutting jobs, and the strategic adoption of artificial intelligence.
Scientific Research Publishing

Shen, J., Tang, T. and Wang, L.L. (2011) Spectral Methods: Algorithms, Analysis and Applications, Volume 41 of Springer Series in Computational Mathematics. Spring-er.

ABSTRACT: Darcy’s law is the fundamental equation describing the flow of a fluid through a porous medium. Combined with the principle of mass conservation, it leads to the diffusion Equation (e.g., ...
IEEE

Applying Johnson's Algorithm for Efficient Shortest Path Analysis in Big Data

Abstract: In this paper, Johnson's Algorithm is employed for Big Data shortest route analysis. Its efficiency and efficacy in managing massive datasets to improve data processing and decision-making ...