Accelerating generative AI around the world with new data residency guarantees

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Demand for enterprise-ready generative AI services is increasing around the world. As companies look to leverage generative AI to the fullest, many want to be able to control where their data is stored in light of growing data sovereignty and global regulatory requirements. For this reason, we’re announcing that customers using Google Cloud’s generative AI …

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Gen AI for the Genome: LLM Predicts Characteristics of COVID Variants

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A widely acclaimed large language model for genomic data has demonstrated its ability to generate gene sequences that closely resemble real-world variants of SARS-CoV-2, the virus behind COVID-19. Called GenSLMs, the model, which last year won the Gordon Bell special prize for high performance computing-based COVID-19 research, was trained on a dataset of nucleotide sequences …

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New study finds bigger datasets might not always be better for AI models

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

From ChatGPT to DALL-E, deep learning artificial intelligence (AI) algorithms are being applied to an ever-growing range of fields. A new study from University of Toronto Engineering researchers, published in Nature Communications, suggests that one of the fundamental assumptions of deep learning models—that they require enormous amounts of training data—may not be as solid as …

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Extracting Histogram of Gradients with OpenCV

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Besides the feature descriptor generated by SIFT, SURF, and ORB, as in the previous post, the Histogram of Oriented Gradients (HOG) is another feature descriptor you can obtain using OpenCV. HOG is a robust feature descriptor widely used in computer vision and image processing for object detection and recognition tasks. It captures the distribution of …

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Image Feature Extraction in OpenCV: Keypoints and Description Vectors

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In the previous post, you learned some basic feature extraction algorithms in OpenCV. The features are extracted in the form of classifying pixels. These indeed abstract the features from images because you do not need to consider the different color channels of each pixel, but to consider a single value. In this post, you will …

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