Oneindia

Dheeraj Vaddepally Unveils Vision for the “Post-Cloud” Era of Mobile Development

Dheeraj Vaddepally explores the post-cloud era of mobile development, highlighting how Edge AI improves app speed, data privacy, and reliability on devices.
InfoQ

Machine Learning on Mobile and Edge Devices with TensorFlow Lite

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
VentureBeat

Google’s TensorFlow Lite Model Maker adapts state-of-the-art models for on-device AI

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Google today announced TensorFlow Lite ...
InfoWorld

Google unveils TensorFlow tool for making mobile-ready models

Google has announced TensorFlow Lite Model Maker, a tool for converting an existing TensorFlow model to the TensorFlow Lite format used to serve predictions on lightweight hardware such as mobile ...
InfoQ

Machine Learning on Mobile and Edge Devices with TensorFlow Lite: Daniel Situnayake at QCon SF

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
EDN

CEVA’s 2nd Generation Neural Network Software Framework Extends Support for Artificial Intelligence Including Google’s TensorFlow

CDNN2 enables localized, deep learning-based video analytics on camera devices in real time. This significantly reduces data bandwidth and storage compared to running such analytics in the cloud, ...
insideHPC

Book Review: Deep Learning with TensorFlow 2 and Keras

If you’re a data scientist who has been wanting to break into the deep learning realm, here is a great learning resource that can guide you through this journey. It’s pretty much an all-inclusive ...