Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Logical Systems and Model Theory constitute a foundational area bridging mathematics, computer science and philosophy through the formalisation of reasoning. By abstracting the essential components of ...

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...

Third, the AI industry itself will attempt to solve the spatial intelligence problem. Spatial intelligence is already a hot concept in the broader AI world. Companies such as NVIDIA and World Labs ...

What if machines could not only process data but also reason through it like a human mind—drawing logical conclusions, adapting to new challenges, and solving problems with unprecedented precision?

Hyperscale data centers are now powering AI models with a revolutionary architecture—at a staggering energy cost.

Lenovo Group Ltd. today introduced a collection of data center systems optimized to run artificial intelligence workloads. The product additions are headlined by a compute appliance called the ...

It seems like everyone wants to get an AI tool developed and deployed for their organization quickly—like yesterday. Several customers I’m working with are rapidly designing, building and testing ...