Approximate biometrics are often required for effective online shopping experience, for example, for clothing, eyewear and footwear. We experimented with Mask-RCNN based object segmentation for measuring human feet with the intention of recommending appropriate footwear, which we talk about in this post.
I’ve been thinking about a few aspects of smart contracts and blockchain tech - especially public blockchain tech - and I have some lingering doubts that I’d like to capture here for any of you to attack.
(With contributions from Sita Krishnakumar, Vishwas Bhushan and Manoj Kumar)
I am going to write this topic in couple of blogs. So that reader will get complete exposure of oracle services providers, like Oraclize in particular. In my first blog post I will try to give a brief overview of Oracle services. Basically dealing with questions like, What are Oracles? What is Oraclize? What is the use of such services? Etc. In the subsequent blog, we will try to use the Oraclize service with our smart contract and further we will take a deeper look into, how it works under the hood?
Here at Imaginea Labs, we are exploring the true power of gpu-computing by analysing its way of launching a kernel, running 1000’s of thread blocks simultaneously, threads doing memory accesses in terms of global/shared and the optimized way to do so, doing atomic operation in threads when needed, optimizing threads to run more efficiently and faster.
In this post, we talk about cuda architecture and various experiments done on a use case with a brute-force approach to test and explore the gpu computation limits. We’ve had modest success in bringing out the best of gpu and faced some intriguing situations and results along the way.