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Recent works on 3D reconstruction from posed images have demonstrated that direct inference of scene-level 3D geometry without iterative optimization is feasible using a deep neural network, showing remarkable promise and high efficiency. However, the reconstructed geometries, typically represented as a 3D truncated signed distance function (TSDF), are often coarse without fine geometric details. To …

Read more “FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction”

By Arthur Gonigberg, Argha C Plaintext Past When Zuul was designed and developed, there was an inherent assumption that connections were effectively free, given we weren’t using mutual TLS (mTLS). It’s built on top of Netty, using event loops for non-blocking execution of requests, one loop per core. To reduce contention among event loops, we created …

Read more “Curbing Connection Churn in Zuul”

You are making a smoothie for your friends to enjoy. Already mixed with assorted fruit and yogurt, your friend Ruchir arrives with a ripe apple and gives it to you to complete your refreshing masterpiece. Now complete, you can almost still smell the hint of apple as the drink is being poured. Before your first …

Read more “Exploring the risks and alternatives of ChatGPT: Paving a path to trustworthy AI”

Replit aims to empower the next billion software creators. In this week’s episode of NVIDIA’s AI Podcast, host Noah Kraviz dives into a conversation with Replit CEO Amjad Masad. Masad says the San Francisco-based maker of a software development platform, which came up as a member of NVIDIA’s Inception program for startups, wants to bridge …

Read more “Replit CEO Amjad Masad on Empowering the Next Billion Software Creators”