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Google Researchers Launch an Ambitious Project to Map Mouse Brain: Paving the Way for Understanding Neurological Disorders Niharika Singh Artificial Intelligence Category – MarkTechPost

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​ In a bid to unravel the complexities of the human brain and shed light on the origins of various mental illnesses and neurological disorders, Google Research, in collaboration with a consortium of esteemed institutions, has embarked on an ambitious five-year, $33 million project. The… Read More »Google Researchers Launch an Ambitious Project to Map Mouse Brain: Paving the Way for Understanding Neurological Disorders Niharika Singh Artificial Intelligence Category – MarkTechPost

Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 1 Michael Roth AWS Machine Learning Blog

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​ A successful deployment of a machine learning (ML) model in a production environment heavily relies on an end-to-end ML pipeline. Although developing such a pipeline can be challenging, it becomes even more complex when dealing with an edge ML use case. Machine learning at… Read More »Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 1 Michael Roth AWS Machine Learning Blog

Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 2 Michael Roth AWS Machine Learning Blog

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​ In Part 1 of this series, we drafted an architecture for an end-to-end MLOps pipeline for a visual quality inspection use case at the edge. It is architected to automate the entire machine learning (ML) process, from data labeling to model training and deployment… Read More »Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 2 Michael Roth AWS Machine Learning Blog

Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 3 Michael Roth AWS Machine Learning Blog

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​ This is Part 3 of our series where we design and implement an MLOps pipeline for visual quality inspection at the edge. In this post, we focus on how to automate the edge deployment part of the end-to-end MLOps pipeline. We show you how… Read More »Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 3 Michael Roth AWS Machine Learning Blog

Deep Learning in Optical Metrology: How Can DYnet++ Enhance Single-Shot Deflectometry for Complex Surfaces? Mohammad Arshad Artificial Intelligence Category – MarkTechPost

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​ Fuel cells are electrochemical devices that convert the chemical energy from a fuel and an oxidizing agent like Oxygen into electrical energy through a chemical reaction. They are considered a promising and environmentally friendly technology for generating electricity, particularly for powering vehicles, homes, and… Read More »Deep Learning in Optical Metrology: How Can DYnet++ Enhance Single-Shot Deflectometry for Complex Surfaces? Mohammad Arshad Artificial Intelligence Category – MarkTechPost

Microsoft Introduces Copilot: Your Everyday AI Companion Seamlessly Integrated Across Windows 11, Microsoft 365, Edge, and Bing Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

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​ We are already in a new era of artificial intelligence, which will have far-reaching consequences for our interactions using technological devices. Now that chat interfaces and massive language models have converged, you can ask the technology for what you need and have it respond,… Read More »Microsoft Introduces Copilot: Your Everyday AI Companion Seamlessly Integrated Across Windows 11, Microsoft 365, Edge, and Bing Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost