Camilo Fosco — LDV Capital Blog on Visual Technologies and AI — LDV Capital
LDV Blog
Our Annual General Meetings are invite-only exclusive gatherings that bring together our investors, experts, special guests and portfolio companies. For the first time, we have made the decision to share a few photographs from our most recent Annual General Meeting hosted in New York City to give you a glimpse into what it is like to be a part of our LDV Capital Inner Circle.
Fantastic technology innovators, serial entrepreneurs, deep tech researchers and investors across the New York tech ecosystem gathered to discuss the latest trends in visual technologies. Check out photographs from our most recent LDV Happy Hour event.
At our 9th Annual LDV Vision Summit, we welcomed top technologists, investors, and entrepreneurs to discuss cutting-edge computer vision, machine learning and AI solutions to improve the world we live in.
About a thousand people tuned in from all around the world to listen to expert speakers from DeepMind, Mural, Snap, BioAge, Synthesia, Salesforce, Harvard Medical School, Insight Partners, Useful Sensors, Conviction, Niels Bohr Institute, Air Street Capital, Uizard, Pano, Humanity, Northeastern University, Seedcamp, Forbes, and more.
In the lead-up to our 9th Annual LDV Vision Summit – the premier global gathering in visual tech (hosted virtually on March 28), we interviewed some of our past & future speakers. Meet Luc Vincent of Meta, Steffen Tjerrild of Synthesia, Kristen Fortney of BioAge, Clément Farabet, Camilo Fosco of Memorable, Alexandra Boussommier of ImVitro, Michael Geer of Humanity, Henrik Haugbølle of Uizard, Mariano Battan of Mural, Alexandre Winter of Norbert Health, Andrew Rabinovich of Headroom, Karin Andrea Stephan of Earkick, Adam Paulisick of maad labs, and Rebecca Paoletti of CakeWorks.
We are thrilled to partner and invest in the deep tech team at Memorable. They are building cutting-edge technology to optimize ads for a higher impact on branding and conversion. Memorable's AI models are based on cognitive science to maximize the memorability, saliency, and conversion potential of both videos and images.