eBay taps computer vision to transform online shopping

  • “Offering buyers the ability to look for similar or exact items using images instead of text has become fairly standard in the industry, but launching the feature in 2017 was a big deal
  • ‘First, we did our training separately,’ he explained. ‘We trained the models on the public cloud, where we could access [graphic processing units]. Then we did the inference and deployment locally.’
  • The question should never be what new technology can be adopted, but what customer problems can be solved, Mekel-Bobrov said.
  • The ecommerce giant is now ‘turbocharging’ its platform to make computer vision an integral part of the experience for both buyers and sellers, Mekel-Bobrov said.”


Facebook’s new A.I. takes image recognition to a whole new level

  • “Facebook’s A.I. algorithms can watch a regular video and, as it is playing, figure out how to turn it into a fully 3D scene, frame by frame.
  • Facebook has expanded its A.I. division — called FAIR (Facebook A.I. Research) — all over the world. Today, it dedicates 300 full-time engineers and scientists to the goal of coming up with the cool artificial intelligence tech of the future.
  • In Facebook’s life span, more than 250 billion photos have been uploaded to the platform. This translates to approximately 350 million every single day. Facebook also owns Instagram, which has had approximately 40 billion photos and videos uploaded since its inception, and some 95 million added every single day.”


Join the innovators in enterprise AI at Transform 2020

“Each year, we gather corporate decision-makers from around the world to discuss “big picture” trends within artificial intelligence, as well as practical ways to move the needle on implementing AI. In 2020, we’re looking at the effects of AI through the lens of four key industries: retail, health, finance, and industrial/manufacturing.

The trends powering enterprise AI

  • Conversational AI gets practical
  • Computer vision comes into focus
  • Automation makes its mark
  • IoT and AI stretches to the edge”

Join the innovators in enterprise AI at Transform 2020

Small Business: Artificial intelligence, computer vision set to ‘take over the world’ – Rush

“We think computer vision is going to eat the world. If you think about the human brain, AI is basically computers trying to mimic how the human brain works. Fifty per cent of what we do or think about or are emotive about is the brain reacting to what our eyes see. Cameras are everywhere, they’re getting cheaper and as computers get more and more powerful and more reliable, we think computer vision – the ability for computers to see and make sense of the world – is going to drive a generation that you and I can’t even comprehend.

Cameras have the ability to make life easier from an experience perspective. As a sub-set of AI, it is hugely powerful. If you think about what’s going on in China with state-sponsored computer vision, we want to use that force for good.”


ViSenze raises $20 million to further develop its AI product comparison tools

Visenze received another $20M in funding. Here’s a “Crib Sheet” post that I wrote on them in 2017.


Additionally, here are some key take-always from today’s news.

  • “Artificial intelligence (AI) in retail is having a moment. Spurred by growth in automated merchandising, recommendation engines, and customer behavior tracking, spend with respect to AI-driven commerce services is expected to top $8 billion by 2024, research firm Global Market Insights reports. And according to the McKinsey Global Institute, said services will impact between 3.2 percent to 5.7 percent of global retail revenue.
  • After three years of steady growth (200 percent) that saw the number of users conducting searches with its products exceed 300 million (and search volume surpass three million queries a day), ViSenze is raising venture capital
  • ViSenze — which was spun out from the National University of Singapore’s Next research center in 2012 — claims its infrastructure can index and process of “billions” of images, and generate search results in less than a second for newly uploaded product images (and less than 200 milliseconds for existing images).
  • That scalability — along with computer vision models trained continuously to improve recognition accuracy — are the reason its customers see 50 percent higher click-through rates and up to 5 times higher conversion rates, ViSenze contends.”