Results for: Machine Learning

Bare-metal, Hardware-Accelerated AI for Windows Apps Using ONNX RT

Today, you can’t help but read the media headlines about AI and the growing sophistication of generative AI models like Stable Diffusion. A great example of a use case for generative AI on Windows is...

Give your Hybrid AI the edge with Windows on Snapdragon

Today, AI is everywhere, and generative AI is being touted as its killer app. We are seeing large language models (LLMs) like ChatGPT, a generative pre-trained transformer, being applied in new and...

Updating Deep Learning Models Right on the Mobile Device — Transfer Learning and Fine-Tuning

“It’s a good model,” you say, thinking about the model you’ve trained in the cloud for your machine learning application. “I just wish we could fine-tune it on the user’s device.” Now you can do...

Accelerate your machine learning networks using TVM and the Adreno OpenCL ML APIs on Adreno GPUs

You like running your machine learning (ML) workloads with the Qualcomm Adreno OpenCL ML SDK on Adreno GPUs. But you also want to use the optimized kernel library for Adreno, with the kind of end-to-...

Smart Sensors II – How Adding AI Can Predict the Future for IIoT

In many industrial settings, determining the current health of assets still involves a technician putting their ear to a machine to detect any ominous sound deviations. What they hear may indicate...

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...


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