The Trump administration (which has argued that scraping an infinite amount of copyright-protected data for training AI ...

More employers are monitoring what workers do on company devices, and firms such as Meta are using employee data to help ...

As firms race to adopt AI, the real challenge lies in making data accessible, structured and usable across organizations. He also discusses the rise of the model-driven economy, the growing importance ...

QVAC SDK and Fabric give people and companies the ability to execute inference and fine-tune powerful models on their own ...

The US unveiled measures aimed at preventing Chinese developers from improperly using leading American AI models to build a ...

The DOJ Antitrust memorandum opinion from September 2025 mentions clicks as a “raw signal” that Google uses. It also ...

AI researchers refer to this as “model collapse,” a phenomenon in which models trained on their own synthetic outputs degrade ...

The Construction Skills Mission Board (CSMB) set up last year is pursuing a vision of a regional “hub-and-spoke” model ...

Another promising area is high-quality data supply. Given the challenges posed by data pollution and the "data wall" — or the risk of AI running out of good data to learn from — service providers ...

ChatGPT in voice mode is consistently outperformed by ChatGPT in text mode. That’s because the lineage of one of ChatGPT ...

OpenAI plans 30GW of AI compute by 2030. Here’s what it means for data centres, energy, chips and India’s AI ecosystem.

Enterprises are quickly discovering that their wireless infrastructure is the real barrier to AI readiness. To achieve true ...