Outside of tightly controlled environments, most robotic systems still struggle with reliability, generalization and cost. The gap between what we can demonstrate and what we can operate at scale ...

Vision language models can help robots create effective automation in chaotic environments, augmenting human capabilities.

Physical AI relies on running entire applications locally, but multi-engine designs disrupt that requirement by introducing ...

ZenO today announced the launch of its public beta, opening access to a new platform designed to collect, anonymize, and structure real-world, first-person data for training physical AI systems such ...

The goal of the partnership is to develop synthetic datasets to train vision language action models on various experimental workflows ...

Mage Data helps Indian banks meet RBI and DPDP compliance while boosting agility, cutting test data costs, reducing ...

Google's Project Genie may prove that world models matter more than LLMs for defense. The military that masters physics simulation first gains decisive advantage.

During his more than two decades with Nvidia, Rev Lebaredian has had a ringside seat to the show that has been the evolution of modern AI, from the ...

City Cast and Technical.ly break down the development surge, from energy and water demands to the potential for jobs and tax revenue.

Whether or not 2026 really is the big year of physical AI (I think it’s likelier to be the year when agentic AI breaks out) and robotics, much hype surrounds recent comments made by the great Nvidia ...

Tampere, Finland, Feb. 11, 2026 (GLOBE NEWSWIRE) -- Unikie's recent Innovation Summit at Nokia Arena brought together companies and experts interested in applying innovative AI solutions in their ...