Category: FAANG

In today’s highly competitive market, performing data analytics using machine learning (ML) models has become a necessity for organizations. It enables them to unlock the value of their data, identify trends, patterns, and predictions, and differentiate themselves from their competitors. For example, in the healthcare industry, ML-driven analytics can be used for diagnostic assistance and …

Read more “Extract non-PHI data from Amazon HealthLake, reduce complexity, and increase cost efficiency with Amazon Athena and Amazon SageMaker Canvas”

TL;DR Bing is screwing up their AI integration. The integration of ChatGPT into Bing’s search engine has some major problems that drastically impact user experience. It appears as if Bing is so desperate to promote itself that they are willing to sacrifice the user’s satisfaction. Not only does this cause usability issues for users, but …

Read more “Bing is sadly too desperate to make AI work”

(An English-language version of this post can be read here.) Nota del editor: Este es el cuarto post de Explicando Palantir, una serie que explora una selección de temas, incluyendo nuestro enfoque hacia la privacidad, la protección, y la seguridad de la IA/ML, entre otros. Las entradas anteriores exploran nuestro modelo de negocio, los controles de …

Read more “Confianza en los Datos (Explicando Palantir, #4)”

Model tuning is the experimental process of finding the optimal parameters and configurations for a machine learning (ML) model that result in the best possible desired outcome with a validation dataset. Single objective optimization with a performance metric is the most common approach for tuning ML models. However, in addition to predictive performance, there may …

Read more “Tune ML models for additional objectives like fairness with SageMaker Automatic Model Tuning”

Communication Service providers (CSPs) are facing a new dynamic where they have a digitally savvy customer base and market competition is higher than ever before. Understanding customers and being able to present them with relevant products and services in a contextual manner has become the focus of CSPs. Digitization and hyper-personalization will be powering the …

Read more “Introducing Telecom Subscriber Insights: Helping CSPs grow business with AI-driven digitization and personalization”

Our mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans—benefits all of humanity. If AGI is successfully created, this technology could help us elevate humanity by increasing abundance, turbocharging the global economy, and aiding in the discovery of new scientific knowledge that changes the limits of possibility. AGI has …

Read more “Planning for AGI and beyond”

Posted by Yang Li, Research Scientist, and Gang Li, Software Engineer, Google Research The computational understanding of user interfaces (UI) is a key step towards achieving intelligent UI behaviors. Previously, we investigated various UI modeling tasks, including widget captioning, screen summarization, and command grounding, that address diverse interaction scenarios such as automation and accessibility. We …

Read more “A vision-language approach for foundational UI understanding”

In recent years, advances in computer vision have enabled researchers, first responders, and governments to tackle the challenging problem of processing global satellite imagery to understand our planet and our impact on it. AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers …

Read more “Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI”

Advancements in whole genome sequencing have ignited a revolution in digital biology. Genomics programs across the world are gaining momentum as the cost of high-throughput, next-generation sequencing has declined. Whether used for sequencing critical-care patients with rare diseases or in population-scale genetics research, whole genome sequencing is becoming a fundamental step in clinical workflows and …

Read more “How AI Is Transforming Genomics”