Tag: ai/ml

Posted by Ruofei Du, Interactive Perception & Graphics Lead, Google Augmented Reality, and Na Li, Tech Lead Manager, Google CoreML Recent deep learning advances have enabled a plethora of high-performance, real-time multimedia applications based on machine learning (ML), such as human body segmentation for video and teleconferencing, depth estimation for 3D reconstruction, hand and body …

Read more “Visual Blocks for ML: Accelerating machine learning prototyping with interactive tools”

Batch inference is a common pattern where prediction requests are batched together on input, a job runs to process those requests against a trained model, and the output includes batch prediction responses that can then be consumed by other applications or business functions. Running batch use cases in production environments requires a repeatable process for …

Read more “Create SageMaker Pipelines for training, consuming and monitoring your batch use cases”

One of the core aspects of recommendation systems is finding similarities among the candidates and the anchor search items. For example, If you just read an article, you might be interested in other articles that are similar; a recommendation system can help you find those articles. Recommendation systems can also improve the user experience, increase …

Read more “Recommending news articles using Vertex AI Matching Engine”

From climate modeling to endangered species conservation, developers, researchers and companies are keeping an AI on the environment with the help of NVIDIA technology. They’re using NVIDIA GPUs and software to track endangered African black rhinos, forecast the availability of solar energy in the U.K., build detailed climate models and monitor environmental disasters from satellite …

Read more “On Earth Day, 5 Ways AI, Accelerated Computing Are Protecting the Planet”

Editor’s Note: The following blog post is intended for drone manufacturers aligned to U.S. interests who are seeking industry standard implementation guidance to help make their products more competitive. It is widely recognized that Chinese drone manufacturers have a dominant market position. At Palantir, we believe it is critical to cultivate innovation and competition in …

Read more “The Open Standard that Ensures Your Drone is a Major Player on the Battlefield”

Posted by Rajat Sen and Abhimanyu Das, Research Scientists, Google Research Time-series forecasting is an important research area that is critical to several scientific and industrial applications, like retail supply chain optimization, energy and traffic prediction, and weather forecasting. In retail use cases, for example, it has been observed that improving demand forecasting accuracy can …

Read more “Recent advances in deep long-horizon forecasting”

Each machine learning (ML) system has a unique service level agreement (SLA) requirement with respect to latency, throughput, and cost metrics. With advancements in hardware design, a wide range of CPU- and GPU-based infrastructures are available to help you speed up inference performance. Also, you can build these ML systems with a combination of ML …

Read more “Improved ML model deployment using Amazon SageMaker Inference Recommender”