Open Knowledge Repository - World Bank

Where Are Pakistan’s Out-of-School Children? Mapping Accessibility of Schooling Using Satellite Data and Machine Learning Methods with an Application to the 2022 Floods

According to administrative data, as many as 25 million children between the ages of 5 and 16 are out-of-school in Pakistan. However, little is known about where these children are in relation to ...
Forbes

Machine Learning Trends For 2026

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...
news.bloomberglaw

AI Patent Eligibility Has Shifted With One Machine-Learning Case

Over the past few months, the US Patent and Trademark Office has treated artificial intelligence and machine learning inventions more favorably under Section 101 of the US Patent Act than they have ...
Phys.org

Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions via a process called cell fate determination. The fate of individual cells, ...
IEEE

Enhancing Random Forest Using Genetic Algorithm for Lifelong Machine Learning

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
IEEE

Aspect Ratio Estimation for MOS Amplifier using Machine Learning

Abstract: Conventional analog circuit design is complicated due to non-linearity. Due to which the design process was more complex in terms of hand calculations and was time-consuming. This paper ...
marktechpost

Nested Learning: A New Machine Learning Approach for Continual Learning that Views Models as Nested Optimization Problems to Enhance Long Context Processing

How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...
ahajournals.org

Abstract 4340723: Comparative Study of Coronary Artery Disease (CAD) Prediction: Conventional QRISK3 vs. Enhanced Machine Learning Models Combined with Particle Swarm ...

Background: Coronary Artery Disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early detection is essential for the primary prevention of CAD. QRISK3 is known ...
ahajournals.org

Abstract Fri055: Machine Learning-Based Drug Screening Using Human iPS Cell-Derived Cardiac Tissues Identified A Novel Drug for Doxorubicin-Induced Cardiomyopathy

Background: Cardiotoxicity is a life-threatening side effect of anti-cancer drugs like Doxorubicin (DOX). However, no effective treatments currently exist to mitigate drug-induced cardiac damage.
PNAS

Machine learning in chemistry

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...