A Technology Broker and Management Company Specializing in KM Systems
Favorite In football, as in many sports, discussions about individual players have always been part of the fun. “Who is the best scorer?” or “Who is the king of defenders?” are questions perennially debated by fans, and social media amplifies this debate. Just consider that Erling Haaland, Robert Lewandowski, and
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Shared by AWS Machine Learning March 3, 2022
Favorite The importance of set pieces in football (or soccer in the US) has been on the rise in recent years: now more than one quarter of all goals are scored via set pieces. Free kicks and corners generally create the most promising situations, and some professional teams have even
Read More Shared by AWS Machine Learning March 3, 2022
Favorite DNA is the language of life: our DNA forms a living record of things that went well for our ancestors, and things that didn’t. DNA tells our body (and every other organism) which proteins to produce; these proteins are tiny machines that carry out enormous tasks, from fighting off
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Shared by Google AI Technology March 2, 2022
Favorite One of David Snowden’s principles is that “Knowledge can’t be conscripted, it can only be volunteered”. However waiting passively for voluntary contributions is the wrong way to spread knowledge. Ask for volunteers instead. I Know The Answer!Originally uploaded by ngader Knowledge can’t be conscripted, it can only be volunteered,
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Shared by Nick Milton March 2, 2022
Favorite Deploying and managing machine learning (ML) models at the edge requires a different set of tools and skillsets as compared to the cloud. This is primarily due to the hardware, software, and networking restrictions at the edge sites. This makes deploying and managing these models more complex. An increasing
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Favorite Ambarella builds computer vision SoCs (system on chips) based on a very efficient AI chip architecture and CVflow that provides the Deep Neural Network (DNN) processing required for edge inferencing use cases like intelligent home monitoring and smart surveillance cameras. Developers convert models trained with frameworks (such as TensorFlow
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Favorite The last few years have seen rapid development in the field of natural language processing (NLP). While hardware has improved, such as with the latest generation of accelerators from NVIDIA and Amazon, advanced machine learning (ML) practitioners still regularly run into issues scaling their large language models across multiple
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Favorite Unleash the power of machine learning (ML) through hands-on learning and compete for prizes and glory. The AWS DeepRacer League is the world’s first global autonomous racing competition driven by reinforcement learning; bringing together students, professionals, and enthusiasts from almost every continent. I’m Tomasz Ptak, a senior software engineer
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Favorite This is a guest post authored by Dr. Janhavi Punyarthi, Director of Brand Development at InpharmD. The intersection of DI and AI: Drug information (DI) refers to the discovery, use, and management of healthcare and medical information. Healthcare providers have many challenges associated with drug information discovery, such as
Read More Shared by AWS Machine Learning February 24, 2022
Favorite Amazon SageMaker is a managed service that makes it easy to build, train, and deploy machine learning (ML) models. Data scientists use SageMaker training jobs to easily train ML models; you don’t have to worry about managing compute resources, and you pay only for the actual training time. Data
Read More Shared by AWS Machine Learning February 24, 2022