As you prepare for an evening of relaxation at home, you might ask your smartphone to play your favorite song or tell your home assistant to dim the lights. These tasks feel simple because they’re ...

Model quantization bridges the gap between the computational limitations of edge devices and the demands for highly accurate models and real-time intelligent applications. The convergence of ...

Edge Impulse Studio was built to consolidate and standardize this entire workflow. The platform makes it easy to build, train ...

“The KL1140 is our response to the challenges of scaling LLMs in the cloud alone,” said founder and Chief Executice Albert ...

Meta’s latest release of the Llama 3.2 model marks a significant advancement in AI, particularly in edge computing and on-device AI. Llama 3.2 brings powerful generative AI capabilities to mobile ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. From IoT and robotics to industrial automation and smart devices, AI is fundamentally ...

Generative AI (GenAI) burst onto the scene and into the public’s imagination with the launch of ChatGPT in late 2022. Users were amazed at the natural language processing chatbot’s ability to turn a ...

The rollout of edge AI is creating new security risks due to a mix of small language models (SLMs), their integration into ...

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.

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The AI landscape is taking a dramatic turn, as small language and multimodal models are ...

Large language models are powerful, but generally they require vast computing resources, which means they typically have to run on stacks of high-end GPUs in data centers. Now, startup Multiverse ...