Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

Compare 5 MLOps consulting companies for scalable AI infrastructure, model deployment, monitoring, and production ML support ...

How a team at UC Berkeley devised a multi-sensor smell system and combined it with machine learning to create a more ...

Google unveiled new AI infrastructure, Gemini capabilities, developer programs and startup initiatives at Google I/O Connect ...

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

Guest blog by Anthony Collins, Technical Director Data and Digital Competency Centre; Nathaniel Henman, Data Scientist; John ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

Promo codes look like a marketing gimmick, but underneath they are a data problem — and a surprisingly hard one. Every code is a small record with a short, unpr ...

ZERO, Superb AI's proprietary Vision Foundation Model, takes first place overall in the CVPR 2026 Foundational Few-Shot ...

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Vector Institute's UnBias-Plus flags biased language in text and training data. For technology leaders, the data layer is ...