Machine Learning Can Forecast Which Stock Factors Will Outperform

Can machine learning predict which equity factors will outperform? A new study finds that machine learning models, especially ...

Ling 1T Performance Demo : The AI Model Smarter Than ChatGPT 5 & Google Gemini

Discover Ling 1T, the trillion-parameter AI model smarter than GPT-5, redefining AI with precision and intelligence in 2025.
InfoWorld

How to deploy machine learning models with AWS Lambda

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...
CBSSports.com

Vikings vs. Falcons props, bets, SportsLine Machine Learning Model AI predictions: Robinson over 68.5 rushing

Week 2 of Sunday Night Football will see the Minnesota Vikings (1-0) hosting the Atlanta Falcons (0-1). J.J. McCarthy and Michael Penix Jr. will be popular in NFL props, as the two will face off for ...
Morningstar

insitro Partners with Lilly to Build First-in-Kind Machine Learning Models to Advance Small Molecule Drug Discovery

insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to develop advanced machine learning models that can ...
CBSSports.com

Chiefs vs. Chargers in Brazil NFL props, odds, SportsLine Machine Learning Model AI predictions, picks for SPG

The Kansas City Chiefs and Los Angeles Chargers renew their AFC West rivalry when they meet in the 2025 NFL Sao Paulo Game on Friday. Kickoff at Corinthians Arena is scheduled for 8 p.m. ET. This ...
Scientific Research Publishing

Explainable Machine Learning in Risk Management: Balancing Accuracy and Interpretability ()

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...
IEEE

A Bayesian Framework Based on Gaussian Mixture Model and Hidden Markov Process for Collision Detection in Cobots

Abstract: In this letter, we propose the B-GHF framework, an end-to-end collision state inference method based on a Bayesian framework that does not rely on external force/torque (F/T) sensors in the ...
Phys.org

Gaussian processes provide a new path toward quantum machine learning

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...
IEEE

A Provable Initialization and Robust Clustering Method for General Mixture Models

Abstract: Clustering is a fundamental tool in statistical machine learning in the presence of heterogeneous data. Most recent results focus primarily on optimal mislabeling guarantees when data are ...