Tag: faang

Scientists everywhere can now access Evo 2, a powerful new foundation model that understands the genetic code for all domains of life. Unveiled today as the largest publicly available AI model for genomic data, it was built on the NVIDIA DGX Cloud platform in a collaboration led by nonprofit biomedical research organization Arc Institute and …

Read more “Massive Foundation Model for Biomolecular Sciences Now Available via NVIDIA BioNeMo”

In recent years, graph neural network (GNN) based models showed promising results in simulating complex physical systems. However, training dedicated graph network simulator can be costly, as most models are confined to fully supervised training. Extensive data generated from traditional simulators is required to train the model. It remained unexplored how transfer learning could be …

Read more “Transfer Learning in Scalable Graph Neural Network for Improved Physical Simulation”

Part 1: Creating the Source of Truth for Impressions By: Tulika Bhatt Imagine scrolling through Netflix, where each movie poster or promotional banner competes for your attention. Every image you hover over isn’t just a visual placeholder; it’s a critical data point that fuels our sophisticated personalization engine. At Netflix, we call these images ‘impressions,’ and …

Read more “Introducing Impressions at Netflix”

Artificial Intelligence (AI) and large language models (LLMs) are experiencing explosive growth, powering applications from machine translation to artistic creation. These technologies rely on intensive computations that require specialized hardware resources, like GPUs. But access to GPUs can be challenging, both in terms of availability and cost. For Google Cloud users, the introduction of Dynamic …

Read more “With MultiKueue, grab GPUs for your GKE cluster, wherever they may be”

Humanoid robots have significant gaps in their sensing and perception, making it hard to perform motion planning in dense environments. To address this, we introduce ARMOR, a novel egocentric perception system that integrates both hardware and software, specifically incorporating wearable-like depth sensors for humanoid robots. Our distributed perception approach enhances the robot’s spatial awareness, and …

Read more “ARMOR: Egocentric Perception for Humanoid Robot Collision Avoidance and Motion Planning”