Fast AI for satellite learns to quantify uncertainty

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
EurekAlert!

Machine-learned biomarker identifies those at high risk for liver cancer

Researchers at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk ...
EurekAlert!

Multimodal machine learning framework for cardiovascular risk stratification in adult obesity

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...
PNAS

Genuine learning biases persist after accounting for temporally decreasing learning rates: Insight from fitting six datasets

In a recent paper, Godara (1) investigated the computational cognitive mechanisms underlying reinforcement learning in two-armed Bernoulli bandit tasks (TABB). The article makes two claims. The first ...
IEEE

Deep Reinforcement Learning Based Block Coordinate Descent for Downlink Weighted Sum-rate Maximization on AI-Native Wireless Networks

Abstract: This paper introduces a deep reinforcement learning-based block coordinate descent (DRL-based BCD) algorithm to address the nonconvex weighted sum-rate maximization (WSRM) problem with a ...
CNN

Homicide rate declines sharply in dozens of US cities, a new report shows

Data collected from 35 American cities showed a 21% decrease in the homicide rate from 2024 to 2025, translating to about 922 fewer homicides last year, according to a new report from the independent ...
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 ...
InfoQ

Beyond Win Rates: How Spotify Quantifies Learning in Product Experiments

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Phys.org

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
IEEE

Intelligent detection of turbulence dissipation rates from radar wind profiler by Machine Learning Algorithms

The accurate estimation of atmospheric turbulence dissipation rate (ε) is crucial for better characterizing the atmospheric physical processes and understanding the boundary layer structure.
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...