SAP releases a foundation model, RPT-1, that can do enterprise use cases out of the box without needing too much fine-tuning.

Every day, dozens of human "data collectors" repeat each activity hundreds of times to train Tesla's Optimus robots.

As attackers wield AI to escalate and personalize campaigns, the weakest link in cybersecurity remains human error.

Shanghai AI Lab researchers find that giving AI richer context—called “context engineering”—can make models smarter without retraining.

Learn how to fine-tune AI models for your unique needs with this easy-to-follow guide. Simplify AI customization and achieve ...

Humanoid robot training is booming around the world. Tech companies are rushing to build the robots for a market projected to ...

Have you ever wanted to wipe down a table hundreds of times while Elon Musk watches? Training Tesla's humanoid robot might be the job for you.

Equity actors for roles in B Street Theatre's ITC & TYA 2026 Seasons (See breakdown). Please prepare 2 contemporary 1-minute ...

Abstract: In operational environments such as astronomical observatories, continuous monitoring of system logs is critical yet challenging due to the vast volume of data generated. Manual inspection ...

The on-demand business model is a dynamic commerce tactic whereby products or services are offered on an as-needed basis. The on-demand model, also known as “accessibility on demand,” is primarily ...

Abstract: This paper proposes a Chinese Named Entity Recognition (NER) method to address the gradient vanishing and exploding issues encountered by the Bidirectional Encoder Representation from ...

Turns out, you don’t need a trillion-parameter model to get things done. Smaller, focused AIs are stealing the spotlight for ...