A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

Tea App debacle takes center stage after mega-breach brings uncertainty for users and the company as Web2 technology ...

ATOM is also in use within Avion Rewards, described by RBC as the country’s largest proprietary loyalty program. The model ...

New types of AI coding assistants promise to let anyone build software by typing commands in plain English. But when these ...

This includes Dell Data Lakehouse for AI, a data platform built upon Dell’s AI-optimized hardware, and a full-stack software suite for discovering, querying, and processing enterprise data.

Replit’s AI assistant wiped more than 1,200 executive records, fabricated user data, and admitted breaking instructions ...

After each step, the chips share data about the changes they have made. If they didn’t, you wouldn’t have a single training run, you’d have 200,000 chips training 200,000 models on their own.

May 29, 2025, 01:15pm EDT getty When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled.

Neuenfeldt: We’re working with data standards like CIM (Common Information Model) 61 970, 301 for normalization and alignment, and the emerging 61 850 standard for smart grids. The goal is to ...