EXTRACT ADVISORS: How a New Force in High-Speed Expansion is Changing the Investment Industry Landscape

Strategic Vision and Tech-Driven Discretionary Model Position EXTRACT as a New Force in the Global Investment Industry ...
The Manila Times

Full Stack Developer Interview Prep Course with Agentic AI - Interview Kickstart's AI Accelerated Program 2026 Update for US Tech Jobs

In response, Interview Kickstart has expanded its Full-Stack Engineering Interview Prep Masterclass, a comprehensive interview-preparation program designed to help experienced engineers strengthen ...
IEEE

A Physics-Based Dynamic Model of HfO₂-Based Ferroelectric Tunnel Junctions With Dual-Insulator Structure

Abstract: A physics-based compact model for the metal-ferroelectric–insulator-metal (MFIM) tunneling junctions, compatible with metal-ferroelectric–metal (MFM) structures, is developed to cover their ...

AI tool predicts cancer metastasis risk using gene expression signatures

Why do some tumors spread while others remain localized? The mechanisms governing the metastatic potential of tumor cells ...
Yale Insights

How Innovations in Understanding Everyday Data Can Power More Effective Aid

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
eLife

Single-cell profiling of trabecular meshwork identifies mitochondrial dysfunction in a glaucoma model that is protected by vitamin B3 treatment

Single-cell transcriptomics identifies three discrete mouse trabecular meshwork subtypes and demonstrates that an Lmx1b glaucoma mutation drives mitochondrial dysfunction and elevated intraocular ...
Purdue University College of Agriculture

AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
IEEE

Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming

Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...