Confluent’s Streaming Agents use the Agent2Agent (A2A) protocol to trigger and coordinate external AI agents using real-time data streams, making it easier to connect AI systems across an enterprise.

Both boosters and sceptics have strongly held opinions on AI tools like ChatGPT, but after an experiment in vibe coding, I have realised that both camps are wrong, says Jacob Aron ...

Apheris's ADMET Network will combine proprietary datasets in a privacy-preserving environment to accelerate AI drug discovery models.

An Dang, Special to The Denisonian Denison will debut a new minor in machine learning and artificial intelligence next semester. This program is designed to give students in technical fields a ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...