The collaboration delivers optimized hardware and software solutions for scalable and reliable AI computer vision at the edge.

A study from EPFL reveals why humans excel at recognizing objects from fragments while AI struggles, highlighting the ...

In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...

Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Relative to each technology’s first mass-market product launch, work adoption of generative AI has been as fast as the personal computer (PC), and overall adoption has been faster than either PCs or ...

Edge computing environments increasingly demand real-time data processing, leading to the adoption of log-structured merge-tree based key-value stores (LSM-KVS) for efficient data handling. LSM-KVS ...