A Technology Broker and Management Company Specializing in KM Systems
Favorite A couple of years ago, Google AI for Social Good’s Bioacoustics team created a ML model that helps the scientific community detect the presence of humpback whale sounds using acoustic recordings. This tool, developed in partnership with the National Oceanic and Atmospheric Association, helps biologists study whale behaviors, patterns,
Read More
Shared by Google AI Technology April 22, 2021
Favorite The book that led to my visit to Google. When I first visited Google back in 2002, I was a computer science professor at UC Berkeley. My colleague John Hennessey and I were updating our textbook on computer architecture, and Larry Page — who rode a hot-rodded electric scooter
Read More Shared by Google AI Technology April 21, 2021
Favorite Want to accelerate machine learning (ML) innovation in your organization? Join us for 30 days of new Amazon SageMaker content designed to help you build, train, and deploy ML models faster. On April 20, we’re kicking off 30 days of hands-on workshops, Twitch sessions, Slack chats, and partner perspectives.
Read More
Shared by AWS Machine Learning April 21, 2021
Favorite You can now control the Amazon Virtual Private Cloud (Amazon VPC) and encryption settings for your Amazon Comprehend APIs using AWS Identity and Access Management (IAM) condition keys, and encrypt your Amazon Comprehend custom models using customer managed keys (CMK) via AWS Key Management Service (AWS KMS). IAM condition
Read More Shared by AWS Machine Learning April 20, 2021
Favorite There are three question to answer, to know whether you need KM. If you are considering whether to invest in Knowledge Management, there are three questions you need to ask. These are listed and explained below. Is knowledge a key business issue for you? If knowledge is an importabnt
Read More
Shared by Nick Milton April 20, 2021
Favorite Customers often ask us how can they lower their costs when conducting deep learning training on AWS. Training deep learning models with libraries such as TensorFlow, PyTorch, and Apache MXNet usually requires access to GPU instances, which are AWS instances types that provide access to NVIDIA GPUs with thousands
Read More Shared by AWS Machine Learning April 15, 2021
Favorite Today, we’re pleased to launch Machine Learning Essentials for Business and Technical Decision Makers—a series of three free, on-demand, digital-training courses from AWS Training and Certification. These courses are intended to empower business leaders and technical decision makers with the foundational knowledge needed to begin shaping a machine learning
Read More Shared by AWS Machine Learning April 15, 2021
Favorite In preparation for the upcoming Olympic Games, Intel®, an American multinational corporation and one of the world’s largest technology companies, developed a concept around 3D Athlete Tracking (3DAT). 3DAT is a machine learning (ML) solution to create real-time digital models of athletes in competition in order to increase fan
Read More Shared by AWS Machine Learning April 15, 2021
Favorite In this YouTube video, Vivek Raman describes how KM at the Asian Development Bank is moving from a Push model (driven by knowledge supply) to Pull model (driven by knowledge demand) for its knowledge products and solutions. As Vivek says – “Our challenge was complex: One, we needed to
Read More Shared by Nick Milton April 15, 2021
Favorite Amazon SageMaker Data Wrangler is the fastest and easiest way for data scientists to prepare data for machine learning (ML) applications. With Data Wrangler, you can simplify the process of feature engineering and complete each step of the data preparation workflow, including data selection, cleansing, exploration, and visualization through
Read More Shared by AWS Machine Learning April 14, 2021