The quest for more training data has created a glut of low-quality junk data that could derail the promise of physical AI.

Effective data modeling enables value creation, efficiency gains, risk reduction, and strategic alignment in an environment of uncertainty and disruption. At Data Summit 2026, Pascal ...

In a novel attempt to improve how large language models learn and make them more capable and energy-efficient, Stevens ...

Data used to be predictable. It was created by people and lived and moved in known systems. That world no longer exists.

The ability to collect data from electronic medical records, medical images, devices, diagnostics, wearables and apps means that more real world data (RWD) is available to be analyzed and derive ...

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

The conversation around explainable AI has never been more urgent, but you cannot have explainable AI without explainable ...

Musk has accused Anthropic, another rival of xAI, of using stolen data to train its artificial intelligence models.

By Michael Krallmann, CEO, TransLegal. For the legal tech community, cross-jurisdictional meaning raises questions of risk, liability and trust. Increasingly capable models, wrapped in ...

GitHub has introduced a significant update to its CodeQL engine, enabling developers to define custom sanitizers and ...