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
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,
And it’s back. In a little more than a month, the third edition of the LDV Vision Summit promises to be as enriching, if not more, than the previous two. 2 days jammed packed with sessions, presentations, a start-up competition and plenty of opportunities to network, all around visual tech.
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
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
Facial recognition has been around for a while. At first and for a long time, it was only used for auto-tagging familiar faces on social media and in photo albums. Meanwhile, security agencies and law enforcement found that it could become an invaluable tool in their ongoing battle against crime fueling