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, ...

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

The Moon’s cratered surface may seem like the perfect place to hand repetitive work to machines. There are millions of impact ...

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

New startups from former hedge funders are hoping to automate different parts of the investing process.

Creating data products is a good way to accelerate delivery, reuse data assets, reduce risks, and manage costs. Standardized ...

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

Enterprise data masking tools help organizations protect sensitive data while still making it usable for testing, analytics, ...

The infrastructure moment for AI-driven drug discovery continues to accelerate, with billion-dollar investments flowing into ...

How Amazon is using less, doing more, and investing where it counts—at scale. Amazon’s operations span nearly every inch of… ...

CarbonSix Inc., a developer of deploy-ready robotic artificial intelligence solutions, announced Wednesday it raised $40 ...