A Technology Broker and Management Company Specializing in KM Systems
Favorite Time series forecasting refers to the process of predicting future values of time series data (data that is collected at regular intervals over time). Simple methods for time series forecasting use historical values of the same variable whose future values need to be predicted, whereas more complex, machine learning
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Shared by AWS Machine Learning May 4, 2023
Favorite The world of artificial intelligence (AI) and machine learning (ML) has been witnessing a paradigm shift with the rise of generative AI models that can create human-like text, images, code, and audio. Compared to classical ML models, generative AI models are significantly bigger and more complex. However, their increasing
Read More Shared by AWS Machine Learning May 4, 2023
Favorite Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Research Vision-language foundational models are built on the premise of a single pre-training followed by subsequent adaptation to multiple downstream tasks. Two main and disjoint training scenarios are popular: a CLIP-style contrastive learning and next-token prediction. Contrastive learning trains
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Shared by Google AI Technology May 4, 2023
Favorite (This post is taken from a speech given remotely at LLW 2023 by OSI Executive director Stefano Maffulli) The conference program places two talks back to back titled “The goals of Open Source AI” followed by “The goals of a Free Software AI”… But to me, the distinction between
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Shared by voicesofopensource May 4, 2023
Favorite This post is co-written by Jyoti Sharma and Sharmo Sarkar from Vericast. For any machine learning (ML) problem, the data scientist begins by working with data. This includes gathering, exploring, and understanding the business and technical aspects of the data, along with evaluation of any manipulations that may be
Read More Shared by AWS Machine Learning May 3, 2023
Favorite New generations of CPUs offer a significant performance improvement in machine learning (ML) inference due to specialized built-in instructions. Combined with their flexibility, high speed of development, and low operating cost, these general-purpose processors offer an alternative to other existing hardware solutions. AWS, Arm, Meta and others helped optimize
Read More Shared by AWS Machine Learning May 3, 2023
Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for ML. It provides a single, web-based visual interface where you can perform all machine learning (ML) development steps required to build, train, tune, debug, deploy, and monitor models. It gives data scientists all the tools you need
Read More Shared by AWS Machine Learning May 3, 2023
Favorite Generative AI (GenAI) and large language models (LLMs), such as those available soon via Amazon Bedrock and Amazon Titan are transforming the way developers and enterprises are able to solve traditionally complex challenges related to natural language processing and understanding. Some of the benefits offered by LLMs include the
Read More Shared by AWS Machine Learning May 3, 2023
Favorite Posted by Joanne Truong, Student Researcher, and Wenhao Yu, Research Scientist, Robotics at Google Teaching mobile robots to navigate in complex outdoor environments is critical to real-world applications, such as delivery or search and rescue. However, this is also a challenging problem as the robot needs to perceive its
Read More Shared by Google AI Technology May 3, 2023
Favorite Checks takes the complexity out of compliance, using AI to help companies quickly discover, communicate and fix issues. View Original Source (blog.google/technology/ai/) Here.