FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction

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 …

Curbing Connection Churn in Zuul

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 …

Exploring the risks and alternatives of ChatGPT: Paving a path to trustworthy AI

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 …

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Unlocking efficiency: Harnessing the power of Selective Execution in Amazon SageMaker Pipelines

MLOps is a key discipline that often oversees the path to productionizing machine learning (ML) models. It’s natural to focus on a single model that you want to train and deploy. However, in reality, you’ll likely work with dozens or even hundreds of models, and the process may involve multiple complex steps. Therefore, it’s important …

Replit CEO Amjad Masad on Empowering the Next Billion Software Creators

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 …

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How to run LLaMA-13B or OpenChat-8192 on a Single GPU — Pragnakalp Techlabs: AI, NLP, Chatbot…

How to run LLaMA-13B or OpenChat-8192 on a Single GPU — Pragnakalp Techlabs: AI, NLP, Chatbot, Python Development Recently, numerous open-source large language models (LLMs) have been launched. These powerful models hold great potential for a wide range of applications. However, one major challenge that arises is the limitation of resources when it comes to testing these …

Measuring the impact: Unveiling the savings realized in cloud cost optimization 

Imagine embarking on a weight-loss journey without having a scale—it’s like sailing through uncharted waters without a compass. The scale serves as your trusted navigator, providing tangible metrics and keeping you on track.   Similarly, comprehending the savings realized in a cloud-cost-optimization journey offers valuable insights into the impact of your efforts. It’s like having a …

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STUDY: Socially aware temporally causal decoder recommender systems

Posted by Eltayeb Ahmed, Research Engineer, and Subhrajit Roy, Senior Research Scientist, Google Research Reading has many benefits for young students, such as better linguistic and life skills, and reading for pleasure has been shown to correlate with academic success. Furthermore students have reported improved emotional wellbeing from reading, as well as better general knowledge …

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How Amazon Shopping uses Amazon Rekognition Content Moderation to review harmful images in product reviews

Customers are increasingly turning to product reviews to make informed decisions in their shopping journey, whether they’re purchasing everyday items like a kitchen towel or making major purchases like buying a car. These reviews have transformed into an essential source of information, enabling shoppers to access the opinions and experiences of other customers. As a …

Improving the Quality of Neural TTS Using Long-form Content and Multi-speaker Multi-style Modeling

Neural text-to-speech (TTS) can provide quality close to natural speech if an adequate amount of high-quality speech material is available for training. However, acquiring speech data for TTS training is costly and time-consuming, especially if the goal is to generate different speaking styles. In this work, we show that we can transfer speaking style across …