SLMs targeted at specific workloads could change the relationship between edge devices and the cloud, creating new ...

Edgeble AI enables industrial robots, cameras, and autonomous vehicles to detect accuracy drift and retrain AI models ...

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully ...

We now can do anything on a wireless device that was done on wires. Why would we think that AI would develop in a different ...

The Apple iPhone Air and Samsung Galaxy S25 Edge are two standout options in the ultra-thin smartphone market. Both devices combine sleek aesthetics with advanced technology, offering unique features ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

IBM released all the Granite 4 Nano models under the open-source Apache 2.0 license, which is highly permissive. The license ...

ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.

The shift toward on-device intelligence is being driven by latency, privacy, and cost concerns that companies are confronting ...

Algorized announced that it has joined the ASUS AIoT Alliance Program, a global ecosystem of innovators advancing industrial ...

The University of Osaka's MicroAdapt achieves real-time learning in edge AI, enhancing speed and accuracy for compact devices ...

An insider report indicates that Samsung may have “noped” out on delivering the Galaxy S26 Edge alongside the traditional ...