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Deci releases YOLO-NAS – A New Foundation Object Detection Model Providing Production-Ready Performance

TEL AVIV, Israel, May 3, 2023 Deci, the deep learning company harnessing AI to build AI, today announced the release of YOLO-NAS, its new deep learning model providing superior real-time object detection capabilities and production-ready performance. This foundation model was generated by Deci’s Neural Architecture Search Technology, AutoNAC™, and delivers unparalleled accuracy and speed, outperforming competing models,… ....

Yonatan Geifman , Deci Neural Architecture Search Technology , Neural Architecture Search Technology , Neural Architecture Search , Ran El Yaniv , Chief Scientist , Object Detection , Distributed Data Parallel , Exponential Moving Average , Quantization Aware ,

Deci releases YOLO-NAS - A New Foundation Object Detection Model Providing Production-Ready Performance

TEL AVIV, Israel (PRWEB) May 03, 2023 Deci, the deep learning company harnessing AI to build AI, today announced the release of YOLO-NAS, its new deep ....

Yonatan Geifman , Jonathan Elial , Deci Neural Architecture Search Technology , Neural Architecture Search Technology , Neural Architecture Search , Ran El Yaniv , Chief Scientist , Object Detection , Distributed Data Parallel , Exponential Moving Average , Quantization Aware , Neural Architecture Construction , Professor Ran El Yaniv , Press Release ,

"Neural Architecture Search for Image Segmentation and Classification" by Sui Paul Ang

Deep learning (DL) is a class of machine learning algorithms that relies on deep neural networks (DNNs) for computations. Unlike traditional machine learning algorithms, DL can learn from raw data directly and effectively. Hence, DL has been successfully applied to tackle many real-world problems. When applying DL to a given problem, the primary task is designing the optimum DNN. This task relies heavily on human expertise, is time-consuming, and requires many trial-and-error experiments.
This thesis aims to automate the laborious task of designing the optimum DNN by exploring the neural architecture search (NAS) approach. Here, we propose two new NAS algorithms for two real-world problems: pedestrian lane detection for assistive navigation and hyperspectral image segmentation for biosecurity scanning. Additionally, we also introduce a new dataset-agnostic predictor of neural network performance, which can be used to speed-up NAS algorithms that require the evaluation of candidate D ....

Neural Architecture Search , Deep Learning , Yperspectral Image Segmentation , Edestrian Lane Detection , Eural Network Performance Prediction ,

Deci Launches New Version of its Deep Learning Platform, Supporting Generative AI Model Optimization

Tel Aviv (PRWEB) February 22, 2023 Deci, the deep learning company harnessing AI to build AI, today released a new version of its deep learning platform, ....

Jetson Orin , Yonatan Geifman , Automated Neural Architecture Construction , Neural Architecture Search , Intel Sapphire Rapids , Neural Architecture Construction , Press Release ,

Deci Launches New Version of Its Deep Learning Platform Supporting Generative AI Model Optimization

Deci Launches New Version of Its Deep Learning Platform Supporting Generative AI Model Optimization
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Jetson Orin , Yonatan Geifman , Automated Neural Architecture Construction , Neural Architecture Search , Intel Sapphire Rapids ,