ExecutiveGov

Army Launches New AI, Machine Learning Officer Career Track

The U.S. Army created a new AI and machine learning officer career field, launching initial selections through VTIP in 2026.
C&EN

Multiphase Flow and Coalescence Filtration in Fibrous Filters: A Review of Numerical and Machine Learning Approaches

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Coalescence filtration in fibrous filters underpins critical processes in various ...
IEEE

An Extreme Learning Machine Technique for the Numerical Solution of Fractional Differential Equations

Abstract: This research intends to create a novel approach for solving fractional differential equations (FDEs) of both linear and nonlinear types utilizing the fractional shifted Legendre neural ...
Frontiers

Mechanical properties of 3D-Printed aluminum, nickel, and titanium using a hybrid machine learning and computational mechanics approach

This study presents a hybrid computational framework designed to accurately predict the mechanical properties of essential 3D printing materials, namely, Aluminum (Al), Titanium (Ti), and Nickel (Ni).
VentureBeat

Beyond static AI: MIT’s new framework lets models teach themselves

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers at MIT have developed a ...
Science Daily

Machine learning powers new approach to detecting soil contaminants

A team of researchers has developed a new strategy for identifying hazardous pollutants in soil -- even ones that have never been isolated or studied in a lab. A team of researchers at Rice University ...
C&EN

Beyond Numerical Hessians: Higher-Order Derivatives for Machine Learning Interatomic Potentials via Automatic Differentiation

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The development of machine learning interatomic potentials (MLIPs) has revolutionized ...
Frontiers

T-cell receptor dynamics in digestive system cancers: a multi-layer machine learning approach for tumor diagnosis and staging

Background: T-cell receptor (TCR) repertoires provide insights into tumor immunology, yet their variations across digestive system cancers are not well understood. Characterizing TCR differences ...