A company needs to generate business success (and just to sound more human, although it doesn’t need to — I do hope it also creates “real” value to humanity). Simply put — to generate business success you need a very good product and strong sales\BizDev\marketing efforts. To have a very…

Each week one of our team members dedicates a few days to learn novel concepts in deep learning or software engineering and present them to the team — we call these talks “Deep Snips”. We do this mainly by reading academic papers from leading groups, books and blog posts. We…

I will look at it as my personal and professional failure if any of my team members will leave Aidoc’s A.I. team after less than 5 years. At the same time, I will be super happy for that team member who found a better place for himself, where he\she will…

Time after time I never cease to be amazed by the importance of optimism, dedication and irrational belief for delivering groundbreaking results in cutting-edge technological projects. …

Features matter. A lot of effort is being put into developing better “meta-architectures” for real world problems such as image classification, detection and segmentation. In parallel, one of the most significant improvements of the last decade came from simply pre-training the architectures on Imagenet and developing better features. Adding enough…

Neural networks are now practically doing most of the coding instead of us (and better than us) in many fields, but we don’t have a satisfactory methodology for testing their behavior. A very interesting recent paper that was covered today on “The Morning Paper” blog, shows a simple and elegant…

TL;DR: Object Detection is one of the most mature fields in Computer Vision and Deep Learning. In the last year alone we have seen many novel ideas in Object Detection which introduced very significant improvements in detection accuracy. I’ve gathered the 9 most important and useful papers (since October 2016)…