rabbat
Reviews: Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up
Update: I have read the author response and appreciate that they addressed some of my comments. The focus is on obtaining statistical guarantees about the generalization. This is a highly relevant direction to the growing body of work on decentralized training. The paper is generally well written, contains very original ideas, and I was very excited to read it. The main reason I didn't give a higher rating was because of the limitations listed at the beginning of Sec 5. I commend the authors for acknowledging them.
More effective, non-invasive test uses artificial intelligence to detect blocked arteries
As a patient with a family history of heart disease, Karen Moore has always been diligent about monitoring her heart health. When her primary care doctor heard something unusual during a routine examination, she sent Moore to cardiologist Mark Rabbat, MD, associate professor of medicine and radiology and director of cardiac computed tomography (CT) at Loyola Medicine. Her initial tests, including electrocardiogram (ECG), echocardiograms and magnetic resonance images (MRI) did not detect any blockages. However, Moore's symptoms never went away. "The tests didn't show anything, but I still was short of breath. I still had a difficult time exercising," she said.
- North America > United States > Illinois (0.05)
- North America > United States > Colorado (0.05)
Gfycat wants to fix your low-fidelity GIFs with machine learning
There can be plenty of copies of the same video clips as a GIF, or maybe it's just difficult to capture and upload, but Gfycat hopes that it can be solved at a technical level. Gfycat is now making a big push on the technical front to make those GIFs look better and more discoverable as creators look to continue to upload content, regardless of what kind of quality or fidelity they are. And it's more of a video problem than an image recognition problem, CEO Richard Rabbat said. "We have scaled [through] creators through word of mouth, and they are just getting excited about Gfycat and [creating] content," Rabbat said. "In many cases, what we're building from an AI and machine learning perspective are additional tools to support their excitement. We want to enable them to drive more virality for their content, and in this case, make their content even more easily discoverable. That's something that's very important to us as we keep focusing on the creators."