Tag: AI Flow

Researchers have developed a spatial-temporal graph attention network that lets scattered smart devices collaborate as an ad-hoc microphone array, cutting ...

Researchers have built SEFlow, a single neural network that can be dynamically sliced into subnetworks of vastly different sizes to ...

Researchers have introduced AI Flow, a framework combining device-edge-cloud collaboration, familial models, and networked intelligence emergence to make powerful AI ...

A new cloud-edge collaborative framework adapts speech-to-speech translation to any device's compute budget while preserving speaker identity through a privacy-preserving ...

Researchers have introduced Generative Video Compression, a framework that transmits video at rates as low as 0.02% and below 0.01% ...