A Technology Broker and Management Company Specializing in KM Systems
Favorite 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
Read More
Shared by AWS Machine Learning February 28, 2023
Favorite Meet Google for Startups Black Founders Fund recipients from Africa, Brazil, Europe and the United States using Google AI technology to help people and society. View Original Source (blog.google/technology/ai/) Here.
Favorite Knowledge has a half-life, and that half-life is getting shorter every year. When John Browne was CEO at BP, he talked about “the shrinking half-life of ideas”. This always struck me as a very interesting concept; one which was fundamental to Browne’s approach to corporate KM. I have since found that
Read More
Shared by Nick Milton February 27, 2023
Favorite Amazon SageMaker multi-model endpoints (MMEs) provide a scalable and cost-effective way to deploy a large number of machine learning (ML) models. It gives you the ability to deploy multiple ML models in a single serving container behind a single endpoint. From there, SageMaker manages loading and unloading the models
Read More Shared by AWS Machine Learning February 25, 2023
Favorite 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
Read More Shared by AWS Machine Learning February 25, 2023
Favorite 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
Read More
Shared by Google AI Technology February 24, 2023
Favorite Over the last 10 years, a number of players have developed autonomous vehicle (AV) systems using deep neural networks (DNNs). These systems have evolved from simple rule-based systems to Advanced Driver Assistance Systems (ADAS) and fully autonomous vehicles. These systems require petabytes of data and thousands of compute units
Read More Shared by AWS Machine Learning February 24, 2023
Favorite Posted by Aviral Kumar, Student Researcher, and Sergey Levine, Research Scientist, Google Research Reinforcement learning (RL) algorithms can learn skills to solve decision-making tasks like playing games, enabling robots to pick up objects, or even optimizing microchip designs. However, running RL algorithms in the real world requires expensive active
Read More Shared by Google AI Technology February 23, 2023
Favorite Posted by Greg Corrado, Distinguished Scientist, and Yossi Matias, VP Engineering and Research, Google Research (This is Part 8 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Google’s focus on AI stems from the conviction
Read More Shared by Google AI Technology February 23, 2023
Favorite This post is co-written with Swagata Ashwani, Senior Data Scientist at Boomi. Boomi is an enterprise-level software as a service (SaaS) independent software vendor (ISV) that creates developer enablement tooling for software engineers. These tools integrate via API into Boomi’s core service offering. In this post, we discuss how
Read More Shared by AWS Machine Learning February 23, 2023