Sea Machines Robotics delivers autonomous and advanced control technology for workboats and other commercial surface vessels. Photo ©Sea Machines

Investors from Union Square Ventures, Spark Capital, Lux Capital, Glasswing Ventures, Imagination Capital, B Capital Group, FirstMark Capital, True Ventures, Eniac and we at LDV Capital share insights. Visual technologies were once considered cute, niche & science fiction. With more visual technology companies like Pinterest and Zoom going public, the worldContinue Reading

The LDV Vision Summit, with its mixture of passionate visual tech entrepreneurs, scientists, researchers, professors, journalists, and investors is right around the corner (May22-23). As a sneak peek and respecting our now well-established tradition, we touched base with some of the scheduled speakers. The biggest challenge for online clothing retailers isContinue Reading

In 2015, we interviewed the CEO of then little known visual search company Visenze. Four years later, after raising $20 million in a series C and announcing a deal with Samsung, we caught with Oliver Tan to see how things have changed for his company, the technology involved, the marketplaceContinue Reading

As the year comes to a close, it is an excellent time to review the emerging visual tech trends ( and failures) and predict those that will have a significant impact in 2019 and beyond.  Without further notice and in no particular order, here they are: Eyes in your house :Continue Reading

Last year we changed the name of our conference, from Mobile Photo Connect to Visual 1st. Besides wanting to affirm our focus that visuals are increasingly at the core of how people communicate and retain their memories, we also felt we needed to let go of the words “mobile” and “photo”Continue Reading

Every year one enters the hallway of the SVA Theatre in the heart of New York thinking that there is no way the organizers of the LDV Vision Summit can outperform the previous year. And every year you step out two days later, happily disappointed that your prediction was wrong.Continue Reading

Publish an image online today and there is a very good chance that within a few days, there will be hundreds, if not thousands of copies of it throughout the internet.  None, unfortunately, will bear any information on who is the creator and how he/she can be found. This isContinue Reading

With each iteration of Photoshop, it is easier and easier to alter images, making it impossible to spot the alterations. Soon, with AI generated images taking over in many fields, it will be impossible to trust if an image is an actual photograph or a complete fabrication. Photography is in danger of losingContinue Reading

A couple of research papers were recently published, both touching on advancement in computer vision and machine learning. While research papers are a common occurrence in this field, these two are worth reviewing a bit deeper, as their implication will have a wide impact once they mature. The first is a research organized byContinue Reading