Throughout history, music festivals have driven social and cultural revolutions. Events like Woodstock promoted “peace and music” in a time of political unrest and others like Live Aid drew attention to humanitarian crises on a global scale. And though some of today’s festivals tout worthwhile causes to their lineups, something far different is drawing people into their venues today - fashion.
This article written by the ViSenze team originally appeared on e27.The figures are clear and disconcerting
A study was done in 2014 based on LinkedIn data to see what percentage of women work in software engineering across industries. Whatever industry you look at, the number of female engineers is bleak.
This article features an interview with our Co-Founder & CTO that was originally published on Kaptur Magazine on 4th Dec 2015.
Google has recently launched its Cloud Vision API, making it easier for companies to build all sorts of applications using its image recognition. Even more, Google is offering it for free to begin with. This puts the whole image recognition industry into a different
This article written by Oliver Tan, Co-Founder and CEO at ViSenze, was originally published on CampaignAsia on 13th November 2015. The world of “Buyable Pins” and “Shop Now” buttons just got more exciting this week with social discovery engine, Pinterest, announcing their new “crazy-fun” visual search.
Years after visual search was implemented in ecommerce, this visual commerce feature
There is no denying it - the web is becoming increasingly visual at an exponential rate. In terms of generating and consuming visual content, the numbers are staggering. One thing is clear: People have grown tired of text and the visual web is here to stay. If the world is starting to wave goodbye to an era of text-focused websites and content, how then, is it responding to this recent
Deep learning and its small window of innovation
Just a number of weeks ago, Li Deng, a lead deep learning expert at Microsoft Research, expressedhis views on the narrowing innovation gap with regards to deep learning.
Deng is very confident that the low-hanging fruit for progress in deep neural networks has been picked and that for the next couple of years, refinement of neural networks and