A Technology Broker and Management Company Specializing in KM Systems
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 of
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Shared by AWS Machine Learning April 15, 2021
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 engagement
Read More Shared by AWS Machine Learning April 15, 2021
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 (ML)
Read More Shared by AWS Machine Learning April 15, 2021
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 design
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Shared by Nick Milton April 15, 2021
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 a
Read More Shared by AWS Machine Learning April 14, 2021
As companies welcome more autonomous robots and other heavy equipment into the workplace, we need to ensure equipment can operate safely around human teammates. In this post, we will show you how to build a virtual boundary with computer vision and AWS DeepLens, the AWS deep learning-enabled video camera designed
Read More Shared by AWS Machine Learning April 14, 2021
This post is cowritten by Ian Avilez and Tim Pavlick from HawkEye 360. HawkEye 360 is a commercial radio frequency (RF) satellite constellation data analytics provider. Our signals of interest include very high frequency (VHF) push-to-talk radios, maritime radar systems, AIS beacons, satellite mobile comms, and more. Our Mission Space
Read More Shared by AWS Machine Learning April 14, 2021
AWS continues to innovate on behalf of our customers. We’re working with NVIDIA to bring an Arm processor-based, NVIDIA GPU accelerated Amazon Elastic Compute Cloud (Amazon EC2) instance to the cloud in the second half of 2021. This instance will feature the Arm-based AWS Graviton2 processor, which was built from
Read More Shared by AWS Machine Learning April 13, 2021
The world is too complex for us to get things right first time. So what matters is the speed at which we adapt and learn. Image from wikimedia commons The British historian Michael Howard wrote, on the subject of military doctrine, “I am tempted to say that whatever doctrine the
Read More Shared by Nick Milton April 12, 2021
As the modern factory becomes more connected, manufacturers are increasingly using a range of inputs (such as process data, audio, and visual) to increase their operational efficiency. Companies use this information to monitor equipment performance and anticipate failures using predictive maintenance techniques powered by machine learning (ML) and artificial intelligence
Read More Shared by AWS Machine Learning April 10, 2021
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