Category Archives: Artificial Intelligence

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LDV Vision Summit : A recap

Tell me something I don’t know. Every year, this is the challenge raised by the LDV Vision Summit in front of an audience made of experts in their fields, scientists, researchers, founders, CEO’s, investors and pundits. And every year, the same reaction: Wow, I didn’t know that. The 2016 edition, which just closed a few days ago, did not disappoint. In a field where breakthroughs are seemingly far between, there is still room for anyone to discover research, studies, applications or companies that reveal yet another…

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10 Questions for an investor: IBM Watson

After Watson’s success at winning Jeopardy competitions, IBM created a whole new business unit entirely dedicated to taking advantage of its impressive capabilities. Using cloud computing and  cognitive A.I., the IBM Watson ecosystem can process language, text, image, speech or data as input for anyone at any scale. Realizing that the biggest promises reside in the uncharted startup world, it soon dedicated a $100 M investment fund. Ahead of his participation as a judge at the LDV Vision Summit startup competition,  we sat down with…

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Abelardo Morell

The Camera of the Future = No Camera

For thousands of years humans have engaged in making visual records of the world around them. From the earliest Ice Age animal cave paintings to birthday photos of our children, a common value seems to be expressing itself through our ever evolving technologies and skills that create “visual likeness.” Charcoal, ink, dye, pigments — these were the earliest materials. But it was the technological innovation of the camera and light-sensitive materials over 170 years ago that truly changed the game and the trajectory. Consumer digital imaging sensors are…

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LDV Vision Summit : Computational Photography and video

As a refresher for those who did make it and a discovery for those who couldn’t, we will be publishing a series of transcripts from last year’s LDV Vision Summit.  First on our list is this conversation around computational photography and video from some of the top experts in the field: Moderator: Evan Nisselson, LDV Capital Panelists: Michael Cohen, Principal Researcher, Microsoft Research *,  Paul Green, CTO & Co-Founder, Algolux and Ramesh Raskar, Associate Professor, MIT Media Lab Evan Nisselson: I’d like to invite up our panelists—Michael…

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What to watch for in 2016

The 2015 year ends pretty much as it started. Some promises were delivered, some fell short. At least for now. With mobile continuing to dominate as the number one gateway to the online experience and visual being its strongest appeal, one would have thought that visual tech would have exploded by now. But not yet. At least not at full capacity. While image advertising has taken a foothold on all major social media site, with Facebook, Instagram and Pinterest adding a “buy” button within  photos,…

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What Google’s new open source TensorFlow and Cloud Vision API mean for photo app developers

When discussing this year’s Mobile Photo Connect “Prospering in the emerging Photos at your Fingertips” theme, several photo app developers commented along the lines of “Wouldn’t it be nice if… companies such as Google or Facebook would share their machine learning and image recognition technologies with all of us?” Few expected this was likely to ever happen, let alone within weeks after the conference. On November 9 Google announced its open source TensorFlow machine-learning framework, followed three weeks later by its Cloud Vision image recognition…

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10 Questions to a founder : Picturesqe

With the advent of digital, pro photographers have been taking more and more pictures. The downside is that they end up spending more and more time in post-production, having to search within thousands of images for the winning photographs. This is what Hungary based startup Picturesqe solves: using a mix of machine learning and A.I,  their solution cuts the editing time by 80%, honing rapidly and efficiently into the top candidates. We sat them with them to learn more: – A little about you, what…

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Google Cloud Vision API and its impact on the image recognition industry

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 motion, and there are many other vendors that might get out of business soon. To find out more about how the image recognition industry is impacted, we interviewed Guangda Li, the Co-Founder and CTO at ViSenze, a machine intelligence company that…

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Understanding Images

Our relationship with the camera, the lens and the image is evolving. The static stance of capturing a moment in a photograph is still there, but this is rapidly changing. With the help of new emerging technologies, photography is becoming ubiquitous and pervasive. The advent of machine vision, deep learning, semantic search, augmented reality and virtual reality among other exponential technologies will inspire us to discover, create and experience more great imagery than ever before in human history. Intelligent algorithms will inspire and teach us to…

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10 Questions for a Founder : Imagga

While big companies like Google, Yahoo, Microsoft, Facebook pour millions into visual content recognition in order to make sense of the billions of images uploaded to their services, smaller companies offer the same solutions to anyone interested in using deep learning to classify images and videos automatically. Straight out of Bulgaria and with years of on the field experience for a variety of companies, Imagga is one that certainly carries its weight in this field. We caught up with founder and CEO Georgi Kadrev to…

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