Tensorflow Lite News Today

Reducing the precision of model weights can make deep neural networks run faster in less GPU memory, while preserving model accuracy.

Qualcomm's AI Hub is allowing developers to import models and optimizing them for use in AI PCs. It also now supports Snapdragon X processors.

Shebin Jose Jacob is using a Raspberry Pi to operate his AI-powered stethoscope that listens for signs of heart disease and more.

Detecting likely problems before they happen, improving efficiency, saving time and cost, and keeping operations running smoothly.

Following these useful tips can help you create edge AI applications without straining processor and storage resources.

News highlights: New Arm Ethos-U85 NPU delivers 4x performance uplift for high performance edge AI applications such as factory automation and commercial or smart home cameras New Arm IoT Reference Design Platform, Corstone-320, brings together leading-edge embedded IP with virtual hardware to accelerate deployment of voice, audio, and vision systems With a global ecosystem of…

Arm has announced its most powerful microcontroller-grade neural processor, which will reach 4Top/s in its maximum configuration and is 20% more power

Arm China is looking at upstreaming their 'Zhouyi' NPU driver into the Linux kernel via the recently-created accelerator 'accel' subsystem

We’re scaling AI to create new possibilities.

Update: The last phone to launch with the Snapdragon 888 was the RealMe GT2 released in 2022. This is no longer the latest and greatest from Qualcomm. For