AACR: New platform uses machine learning to predict responses in patients with lung cancer

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

Vaibhav Tummalapalli- Targeting The EV-Ready: Inside The AI Models Doubling Conversion Rates For Auto Brands

Vaibhav Tummalapalli is using AI-driven models and scalable data platforms to help auto brands identify and convert ...
IEEE

FedCOT: Personalized Federated Transfer Learning with Conditional Optimal Transport for Manufacturing Predictive Modeling

Abstract: Effective predictive modeling in large-scale manufacturing is hampered by the isolated and limited data from individual organizations, collected from costly experiments and various ...
Analytics Insight

R Resurgence in 2026: Is Python Losing Its Data Science Edge?

R is regaining attention in 2026, especially in statistics-heavy and research-focused data science work.Python still leads in ...
IEEE

Physics-Embedded Data-Driven Modeling for Model Predictive Control of Battery Charging Converter

Abstract: Model predictive control (MPC) is widely used for battery converter charging control due to its strong capability to explicitly handle multiple objectives and complex constraints in real ...
marktechpost

Yann LeCun’s New LeWorldModel (LeWM) Research Targets JEPA Collapse in Pixel-Based Predictive World Modeling

World Models (WMs) are a central framework for developing agents that reason and plan in a compact latent space. However, training these models directly from pixel data often leads to ‘representation ...