The next phase of the AI race will not be defined by who deploys the largest models or the fastest tools but by who earns the ...

From 2023 to 2025, the proportion of synthetic data increased from 20%-30% to 50%-60%, becoming a core resource to fill long-tail scenarios. -- Full-process automated toolchain from collection to ...

A newly launched ‘feedback loop’ sharing information on the reasons why survey participants fail quality checks “is a way we ...

Every synthetic dataset generated today trains tomorrow's models while potentially poisoning the ecosystem those models ...

Robotaxis are marketed as fully autonomous vehicles gliding through city streets on pure software. In reality, every smooth ...

Continuous Learning also helps teams preserve data assets across cycles. When new base models arrive or use cases evolve, teams can reuse a stream of versioned production-derived signals (preferences, ...

Las Vegas has issued the first building permit to The Boring Company for the Vegas Loop expansion, connecting the Convention ...

What makes Vivek Shah's story resonate so deeply is that his commitment to quality and alignment extends far beyond the realm ...

Robo.ai, a technology company dedicated to the AI machine economy, announced that its wholly-owned subsidiary, Robo.ai ...

As embodied AI rapidly evolves from foundation models and software-based agents toward real-world intelligent robots, the industry is facing a critical bottleneck: the large-scale availability of high ...

Absent a comprehensive federal AI framework, agencies should be guided by four governance priorities. While the federal ...