Data management tools that provide contextualization, governance and accessibility are the backbone of effective AI-driven ...

Ji Chao emphasized that the implementation of embodied intelligence must meet two criteria: first, it must be able to enhance existing production efficiency. For example, in an automotive assembly ...

Scalable, production-level AI requires two bases: the known sources of human knowledge and a reliable data infrastructure.

Imagine a future where autonomous freight trains in North America operate across long distances. This future is one the industry must consider if it wants to compete ...

The core of AI image detection lies in computer vision and neural networks. Through these technologies, machines can 'learn' how to recognize patterns and objects in images just like humans. Initially ...

Gears have powered the world for millennia, from clock machines to car engines. But miniaturizing them to microscopic ...

What happens when we get out of the driver's seat and our vehicles become autonomous? Mathematician Viktor Larsson is ...

The way human users perceive their interactions with AI systems is, in part, influenced by deliberate choices made by the designers. From depictions of Alan Turing’s early computational machines to ...

Something the Anthropic and OpenAI data tells us pretty clearly is that the diffusion lags for AI are, by historical ...

One major development is Chemspeed’s strategic partnership with Atinary Technologies, which brings AI-driven decision-making ...

Join Harvardwood in conversation with SK Sharma to discuss the Intersection of AI and Media on September 11th at 6 PM PT.