A Technology Broker and Management Company Specializing in KM Systems
The National Football League (NFL) is one of the most popular sports leagues in the United States and is the most valuable sports league in the world. The NFL, BioCore, and AWS are committed to advancing human understanding around the diagnosis, prevention, and treatment of sports-related injuries to make the
Read More
Shared by AWS Machine Learning February 3, 2023
Today, the NFL is continuing their journey to increase the number of statistics provided by the Next Gen Stats Platform to all 32 teams and fans alike. With advanced analytics derived from machine learning (ML), the NFL is creating new ways to quantify football, and to provide fans with the
Read More Shared by AWS Machine Learning February 3, 2023
Posted by Phitchaya Mangpo Phothilimthana, Staff Research Scientist, and Adam Paszke, Staff Research Scientist, Google Research (This is Part 3 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Great machine learning (ML) research requires great systems.
Read More
Shared by Google AI Technology February 2, 2023
Posted by Xingyou (Richard) Song, Research Scientist, and Chansoo Lee, Software Engineer, Google Research, Brain Team Google Vizier is the de-facto system for blackbox optimization over objective functions and hyperparameters across Google, having serviced some of Google’s largest research efforts and optimized a wide range of products (e.g., Search, Ads,
Read More Shared by Google AI Technology February 2, 2023
Recent developments in deep learning have led to increasingly large models such as GPT-3, BLOOM, and OPT, some of which are already in excess of 100 billion parameters. Although larger models tend to be more powerful, training such models requires significant computational resources. Even with the use of advanced distributed
Read More Shared by AWS Machine Learning February 2, 2023
Almost 80% of today’s web content is user-generated, creating a deluge of content that organizations struggle to analyze with human-only processes. The availability of consumer information helps them make decisions, from buying a new pair of jeans to securing home loans. In a recent survey, 79% of consumers stated they
Read More Shared by AWS Machine Learning February 2, 2023
Posted by Shayne Longpre, Student Researcher, and Adam Roberts, Senior Staff Software Engineer, Google Research, Brain Team Language models are now capable of performing many new natural language processing (NLP) tasks by reading instructions, often that they hadn’t seen before. The ability to reason on new tasks is mostly credited
Read More Shared by Google AI Technology February 1, 2023
Amazon Forecast is a fully managed service that uses machine learning (ML) to generate highly accurate forecasts, without requiring any prior ML experience. Forecast is applicable in a wide variety of use cases, including estimating supply and demand for inventory management, travel demand forecasting, workforce planning, and computing cloud infrastructure
Read More Shared by AWS Machine Learning January 31, 2023
Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types
Read More Shared by AWS Machine Learning January 31, 2023
The European Commission’s proposed Cyber Resilience Act (CRA) as drafted may harm Open Source, and perhaps all other non-industrial software. There were 131 responses to the proposed text that the Commission has sent to the Parliament, including one from the Open Source Initiative. Of those, 18 responses – representing a
Read More
Shared by voicesofopensource January 30, 2023
English
العربية
简体中文
Français
Deutsch
한국어
Español
Tiếng Việt