Page 4 - Neural Architecture Search News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Stay updated with breaking news from Neural architecture search. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

Top News In Neural Architecture Search Today - Breaking & Trending Today

Deci Releases Powerful Open-Source Generative AI Model, DeciCoder, to Redefine Code Generation for Developers

TEL AVIV, Israel, August 16, 2023 Deci, the deep learning company harnessing AI to build AI, today released DeciCoder, its inaugural foundation model in generative AI helping users generate programming language code. This groundbreaking Large Language Model (LLM), dedicated to code generation with 1 billion parameters and an expansive 2048-context window, surpasses results released in equivalent models… ....

Large Language Model , Hugging Face Inference Endpoints , Yonatan Geifman Phd , Automated Neural Architecture Construction , Neural Architecture Search ,

Deci Releases Powerful Open-Source Generative AI Model, DeciCoder, to Redefine Code Generation for Developers

/PRNewswire/ Deci, the deep learning company harnessing AI to build AI, today released DeciCoder, its inaugural foundation model in generative AI helping. ....

Garrett Krivicich , Large Language Model , Hugging Face Inference Endpoints , Yonatan Geifman Phd , Automated Neural Architecture Construction , Neural Architecture Search , Neural Architecture Construction ,

"AdaptorNAS: A New Perturbation-based Neural Architecture Search for Hy" by Sui Paul Ang, Son Lam Phung et al.

Hyperspectral image segmentation is an emerging area with numerous applications, including agriculture, forestry, environment monitoring, and remote sensing. This paper proposes a new neural architecture search algorithm, named AdaptorNAS, for hyperspectral image segmentation. AdaptorNAS aims to design the optimum decoder for any given encoder. In our approach, the search space of AdaptorNAS is a large deep neural network (DNN), and the optimal decoder is derived by pruning the large DNN via a perturbation-based pruning strategy. Verified on three popular encoders, i.e., ResNet-34, MobileNet-V2, and EfficientNet-B2, AdaptorNAS can design high-speed decoders that are significantly better than six common hand-crafted decoders. Additionally, with the EfficientNet-B2 encoder, AdaptorNAS (mIoU of 92.47% and mDice of 95.15%) outperforms the state-of-the-art NAS algorithms and hand-crafted network architectures on the hyperspectral image segmentation task. We also introduce a new hyperspectra ....

Biosecurity Scanning , Computer Architecture , Deep Learning , Feature Extraction , Yperspectral Image Segmentation , Hyperspectral Imaging , Image Segmentation , Neural Architecture Search , Erturbation Based Search , Semantic Segmentation ,

Why YOLO-NAS Is the Best Object Detection Model in the YOLO Series?

Why YOLO-NAS Is the Best Object Detection Model in the YOLO Series?
makeuseof.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from makeuseof.com Daily Mail and Mail on Sunday newspapers.

Google Colab , Only Look Once , Neural Architecture Search , Automated Neural Architecture Construction , World Applications , Apache License ,

Deci Selected as Best Edge AI Developer Tool in 2023's Edge AI and Vision Product of the Year Awards

TEL AVIV, Israel (PRWEB) May 24, 2023 Deci, the deep learning company harnessing AI to build AI, today announced that its deep learning development ....

Jonathan Elial , Yonatan Geifman , Vision Alliance , Vision Product , Year Awards , Best Edge , Deep Learning Platform , Jeff Bier , Neural Architecture Search , Neural Architecture Construction , Professor Ran El Yaniv ,