Tracing anglers in the Gulf Coast: New machine learning tools reveal when, where and how anglers fish

The Gulf Coast is recognized worldwide for its exceptional fishing opportunities, offering anglers a wide variety of species ...
News-Medical.Net

Interpretable machine learning model advances analysis of complex genetic traits

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
PharmiWeb

Valo Health Appoints Chris Anagnostopoulos, PhD, as Chief Causal AI Officer

Data science leader to advance Valo’s leading human causal biology platform for drug discoveryLEXINGTON, Mass.--(BUSINESS ...

Red Sky Health's Outcome-as-a-Service Solution Fixes Health Insurance Claim Denials to Recover Revenue Faster

Automation and flexible deployment capabilities drive strategic pivot for Red Sky Health's health insurance denials remediation platform NEW YORK, /PRNewswire/ -- Healthcare billing teams are drowning ...
Market.us Scoop

Anomaly Detection Market Towards US$ 33.32 Billion by 2035

Anomaly Detection Market is predicted to register growth from USD 5.61 bn in 2025 to about USD 33.32 bn by 2035, recording a ...

Machine learning tool pinpoints optimal locations for tree planting, offering a powerful tool for climate mitigation

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...
Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
EurekAlert!

Bridging machine learning and COSMO-SAC for accurate prediction of infinite dilute activity coefficients of binary mixtures

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
Nature

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...