Artificial intelligence (AI) is emerging as a powerful tool for one of science’s most ambitious goals: detecting life beyond Earth. But a new study warns that current AI systems may be fundamentally ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

New Arcot Smart Ruleset Revolutionizes the Future of Payment Authentication with Adaptive Intelligence, Precise Transaction Decisioning, and Auto-Regulatory CompliancePALO ALTO, Calif., April 08, 2026 ...

Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales. A new framework, CH4Vision, addresses this problem by estimating methane flux ...

The professionals who work in safety and quality management are accountable for human lives, consumer well-being, and brand ...

A first-of-its-kind study led by researchers at the Centre for Addiction and Mental Health (CAMH) has found that artificial intelligence (AI) models used to predict aggressive incidents in acute ...

As climate change intensifies harmful algal blooms worldwide, an international team led by Hiroshima University has developed ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Global RBM requires interoperable architectures across EDC, IRT, eCOA, labs, imaging, EHR, and safety systems, but inconsistent CDISC/HL7 FHIR adoption and proprietary APIs impede near–real-time ...

A first-of-its-kind study led by researchers at the Centre for Addiction and Mental Health (CAMH) has found that artificial intelligence (AI) models used to predict aggressive incidents in acute ...

MethylScan is a low-cost blood test that detects multiple cancers and liver diseases by analyzing DNA methylation patterns ...

Harmful algal blooms (HABs)—responsible for environmental damage, mass fish die-offs, economic downfalls, and even human deaths—are increasing in ...