Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

Envariax represents the next generation of algorithmic trading innovation — a technology-driven model built to analyze vast ...

A machine-learning breakthrough could lift the veil on Earth’s early history—and supercharge the search for alien life ...

Researchers suggest that this dataset could significantly accelerate innovation in AI-based diagnostics for blood disorders.

In tweaking its chatbot to appeal to more people, OpenAI made it riskier for some of them. Now the company has made its ...

Data governance - in the AI context - is the continuous system of policies, controls, and accountabilities that keeps data ...

The Tomorrow’s Quants series explores the skills needed by new quant recruits, drawing on a survey of 39 employers, and six ...

Banks aren't currently taking full advantage of AI, but a focused, future-ready banking AI strategy can deliver real impact.

According to the 2025 DORA report, 90% of tech professionals report using AI in some aspects of their daily work. Yet that ...

The aseptic processing market is thriving due to the demand for sterile, self-stable products in food, beverage, and ...