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

With the proliferation of AI across industries, organizations will need to reevaluate what type of talent they need and how that talent performs. This will require moving to an evaluation system that ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...

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

KV, a low-rank KV cache compression method achieving up to 20x reduction, with the paper selected as a Spotlight at ICML 2026 ...

For the first time, mission-focused AI and machine learning capabilities for warfighters have been delivered into the Multi-Domain Mission Support System (MD MSS), marking a significant milestone for ...

Machine learning (ML) models now influence decisions that were once reserved solely for human judgement: credit approvals, hiring outcomes, insurance pricing, and loan default predictions. When these ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...

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