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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”
DeepMind and the Brain team from Google Research will join forces to accelerate progress towards a world in which AI helps solve the biggest challenges facing humanity.
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”
Trust is the cornerstone on which the banking industry is built. When consumers lose trust in a bank’s ability to manage risk, the system stops working. We’ve seen what follows—financial crises, bailouts, destruction of capital, and losses of jobs. Put simply, consumers trust banks to keep their money safe and return the money when requested. …
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”
Since our founding in 2003, Palantir has worked with governments — as well as commercial clients across some of the most secure and highly regulated industries — to deliver value from their most sensitive data holdings. In doing so, we have pioneered many of the security concepts and practices that have come to be known as Zero Trust. Today, security …
One of the most distinguishing things about our federal government is its broad scope of services. No other institution is responsible for doing so much for so many, so quickly, in an ever-changing landscape. No other institution must respond simultaneously to such a breadth of challenges that have only been amplified over the last few …
Read more “A partnership perspective on government cloud security”
Posted by Lauren Wilcox, Senior Staff Research Scientist, on behalf of the Technology, AI, Society, and Culture Team Google sees AI as a foundational and transformational technology, with recent advances in generative AI technologies, such as LaMDA, PaLM, Imagen, Parti, MusicLM, and similar machine learning (ML) models, some of which are now being incorporated into …
Read more “Responsible AI at Google Research: Technology, AI, Society and Culture”