Autonomous robots are moving beyond scripted motions and narrow task automation into a new era of adaptable, ...

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 ...

Did you know meteorologists forecast the weather using a bunch of different physics and mathematical equations? They use these equations to create what's known as numerical weather models to predict ...

Physical AI marks a transition from robots as programmed tools to robots as adaptable collaborators. That transition will unfold over years rather than months, but the foundation models emerging from ...

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

Henri Lee is the co-founder + CEO of Xpanner, a ConTech startup pioneering construction site automation through robotics and Physical AI. The rapid evolution and adoption of AI have already ...

The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...