Results for: Machine Learning

Five IoT Home Projects You Can Build

Whether you’re a professional or hobbyist developer, you likely have some side-projects to help you discover new technology, learn how it works, or build solutions to hopefully make life easier. With...

ML training at the edge: Training on mobile devices

You can get a lot of innovation out of running machine learning inference on mobile devices, but what if you could also train your models on mobile devices? What would you invent if you could fine-...

NeurIPS 2021: Discover our latest breakthroughs in AI

Qualcomm AI Research showcases its cutting-edge advancements in machine learning The pace of machine learning advancement continues at an astounding rate, and it’s that time of year again for AI...

Neural Networks for Computer Vision and Natural Language Processing

Cooking with Snapdragon is a video on which we recently collaborated with WIRED Brand Lab, and published on The video features exciting yet practical use cases for AI at the edge. The...

Neural Network Optimization with AIMET

To run neural networks efficiently at the edge on mobile, IoT, and other embedded devices, developers strive to optimize their machine learning (ML) models' size and complexity while taking advantage...

Introduction to Open RAN

Introduction Open Radio Access Networks (Open RAN) is a hot topic in the cellular industry. It involves the development of interoperable open hardware, software, and interfaces for wireless cellular...

Training ML Models at the Edge with Federated Learning

Centralized machine learning (ML) is the ML workflow that most of us are familiar with today, where training is allocated to powerful servers which update model parameters using large datasets. The...

Rapid VUI Prototyping with Sensory’s VoiceHub

Introduction It’s quite amazing to think the first voice-controlled user interface, the Audrey system, was built by Bell Labs back in 1952 – although it only recognized ten digits spoken by a single...


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