From image to 3D model (Ep. 212)

The brutal truth about why Silicon Valley is blowing billions on glorified autocomplete while pretending it's the next iPhone. We're diving deep into the AI investment circus where VCs who can't code are funding companies that barely understand their own technology. From blockcha ...  Show more

VortexNet uses actual whirlpools to build neural networks. Seriously. By borrowing equations from fluid dynamics, this new architecture might solve deep learning's toughest problems—from vanishing gradients to long-range dependencies. Today we explain how vortex shedding, the Str ...  Show more

An A.I. the model is similar to a boat in that it needs constant maintenance to perform. The reality is  A.I. models need adjusted boundaries and guidelines to remain efficient.  And when you live in a world where everyone is trying to get bigger and faster and have a certain ...

Let’s talk about NeRFs — no, not the neon-colored foam dart blasters, but neural radiance fields, a technology that might just change the nature of images forever. In this episode of NVIDIA’s AI Podcast recorded live at GTC, host Noah Kravitz speaks with Michael Rubloff, founder ...  Show more

Et s'il était désormais possible de regarder n'importe quel contenu en 3D sur internet sans que cela ne consomme énormément de ressources ? C'est le pari tenté par la startup lyonnaise Arskan, qui vient de mettre au point une technologie je cite « moins gourmande en C02 que le ...

What is a large language model? How can it be used to enhance your business? In this conversation, Ali Rowghani, Managing Director of YC Continuity, talks with Raza Habib, CEO of