A Technology Broker and Management Company Specializing in KM Systems
Favorite In the world of machine learning (ML), the quality of the dataset is of significant importance to model predictability. Although more data is usually better, large datasets with a high number of features can sometimes lead to non-optimal model performance due to the curse of dimensionality. Analysts can spend
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Shared by AWS Machine Learning April 24, 2023
Favorite Posted by Malaya Jules, Program Manager, Google This week, the Conference on Human Factors in Computing Systems (CHI 2023) is being held in Hamburg, Germany. We are proud to be a Hero Sponsor of CHI 2023, a premier conference on human-computer interaction, where Google researchers contribute at all levels.
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Shared by Google AI Technology April 23, 2023
Favorite Batch inference is a common pattern where prediction requests are batched together on input, a job runs to process those requests against a trained model, and the output includes batch prediction responses that can then be consumed by other applications or business functions. Running batch use cases in production
Read More Shared by AWS Machine Learning April 21, 2023
Favorite Posted by Ruofei Du, Interactive Perception & Graphics Lead, Google Augmented Reality, and Na Li, Tech Lead Manager, Google CoreML Recent deep learning advances have enabled a plethora of high-performance, real-time multimedia applications based on machine learning (ML), such as human body segmentation for video and teleconferencing, depth estimation
Read More Shared by Google AI Technology April 21, 2023
Favorite Bard can now help with programming and software development tasks, across more than 20 programming languages. View Original Source (blog.google/technology/ai/) Here.
Favorite Each machine learning (ML) system has a unique service level agreement (SLA) requirement with respect to latency, throughput, and cost metrics. With advancements in hardware design, a wide range of CPU- and GPU-based infrastructures are available to help you speed up inference performance. Also, you can build these ML
Read More Shared by AWS Machine Learning April 20, 2023
Favorite Each machine learning (ML) system has a unique service level agreement (SLA) requirement with respect to latency, throughput, and cost metrics. With advancements in hardware design, a wide range of CPU- and GPU-based infrastructures are available to help you speed up inference performance. Also, you can build these ML
Read More Shared by AWS Machine Learning April 20, 2023
Favorite Posted by Rajat Sen and Abhimanyu Das, Research Scientists, Google Research Time-series forecasting is an important research area that is critical to several scientific and industrial applications, like retail supply chain optimization, energy and traffic prediction, and weather forecasting. In retail use cases, for example, it has been observed
Read More Shared by Google AI Technology April 20, 2023
Favorite We announced some changes that will accelerate our progress in AI and help us develop more capable AI systems more safely and responsibly. View Original Source (blog.google/technology/ai/) Here.
Favorite Powerful Artificial Intelligence technology is pressing more questions on Open Source and society every day. AI is contributing to important breakthroughs and we’re only beginning to see the potential for innovation it can bring to fields such as climate, health, agriculture and mobility (to name just a few). Recently
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Shared by voicesofopensource April 20, 2023