AI and ML projects will fail without good data because data is the foundation that enables these technologies to learn. Data ...

Cognizant (NASDAQ: CTSH) today announced the launch of AI Training Data Services, a new offering designed to help enterprises ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Google is developing tools to keep its data straight. The tech giant has applied to patent a system for “managing artificial ...

Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

Venky Ananth, EVP and Global Head of Healthcare at Infosys, highlights how AI can serve as both a shield and a ...

By Bismark SAKYI The promise of artificial intelligence (AI) and machine learning (ML) to revolutionise anti-money laundering (AML) programmes has dominated headlines in recent years. From reducing ...

A common AI fine-tuning practice could be unintentionally poisoning your models with hidden biases and risks, a new Anthropic study warns.

This focus on bias-aware ML pipelines translates directly into interview readiness. FAANG interviews often include questions on fairness and ML system design, candidates can expect to be grilled on ...