Tag: faang

Two NVIDIA Research papers — one exploring diffusion-based generative AI models and another on training generalist AI agents — have been honored with NeurIPS 2022 Awards for their contributions to the field of AI and machine learning. These are among more than 60+ talks, posters and workshops with NVIDIA authors being presented at the NeurIPs …

Read more “NVIDIA Wins NeurIPS Awards for Research on Generative AI, Generalist AI Agents”

Machine learning (ML) models are taking the world by storm. Their performance relies on using the right training data and choosing the right model and algorithm. But it doesn’t end here. Typically, algorithms defer some design decisions to the ML practitioner to adopt for their specific data and task. These deferred design decisions manifest themselves …

Read more “Optimize hyperparameters with Amazon SageMaker Automatic Model Tuning”

Workstation Security Policies as Code In this blog post, Chad and Tyler from our Information Security (InfoSec) team discuss the evolution of Palantir’s approach to managing browser extensions across the enterprise and walk through how this low-friction process works today. Browser Extensions: an Ever-Evolving Threat Web browsers are the primary interface for many sensitive business tasks; they …

Read more “Managing and Automating Browser Extensions at Scale”

This is a guest post by Stephen Carrad, Vice President at JP Morgan Chase & Co. JPMorgan & Chase Co. started its cloud journey four years ago, building the integrations required to deploy cloud-native applications into the cloud in a resilient and secure manner. In the first year, three applications tentatively dipped their toes into …

Read more “How JPMorgan Chase & Co. uses AWS DeepRacer events to drive global cloud adoption”

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step of the ML workflow, from preparing data to building, training, tuning, and deploying models. Studio comes with built-in integration with Amazon EMR so that data scientists can interactively prepare data at …

Read more “Apply fine-grained data access controls with AWS Lake Formation and Amazon EMR from Amazon SageMaker Studio”

Cardiovascular diseases (CVDs) are the number one cause of death globally: more people die each year from CVDs than from any other cause. The COVID-19 pandemic made organizations change healthcare delivery to reduce staff contact with sick people and the overall pressure on the healthcare system. This technology enables organizations to deliver telehealth solutions, which …

Read more “AWS Cloud technology for near-real-time cardiac anomaly detection using data from wearable devices”

Since 2020, NHS England’s use of Palantir software has become an area of increasing interest. While we have shared some of the highlights of our collaboration, such as the development of Purpose-based Access Controls (PBAC), some inaccuracies persist in the discourse surrounding it. In this post, we set out the key facts. We are proud of …

Read more “Understanding our Work with the NHS”

Amazon Rekognition is a computer vision service that makes it simple to add image and video analysis to your applications using proven, highly scalable, deep learning technology that does not require machine learning (ML) expertise. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos and detect inappropriate content. …

Read more “Identifying landmarks with Amazon Rekognition Custom Labels”

Amazon Forecast is a fully managed service that uses statistical and machine learning (ML) algorithms to deliver highly accurate time-series forecasts. Recently, based on Amazon Forecast, we helped one of our retail customers achieve accurate demand forecasting, within 8 weeks. The solution improved the manual forecast by an average of 10% in regards to the …

Read more “Implementing Amazon Forecast in the retail industry: A journey from POC to production”