Tag: convolutional neural network
We asked Intel to define ‘AI PC’. Anything with Core Ultra
If you're confused about what makes a PC an "AI PC," you're not alone. But we finally have something of an answer: if it...
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How AWS Prototyping enabled ICL-Group to build computer vision models on Amazon SageMaker | Amazon Web Services
This is a customer post jointly authored by ICL and AWS employees. ICL is a multi-national manufacturing and mining corporation based in Israel that...
Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions | Amazon Web Services
This is a guest post co-authored by Nafi Ahmet Turgut, Mehmet İkbal Özmen, Hasan Burak Yel, Fatma Nur Dumlupınar Keşir, Mutlu Polatcan and Emre...
Earth, wind and water: how cosmic muons are helping to study volcanoes, cyclones and more – Physics World
Michael Allen peers into the depths of natural disasters, as he speaks to the physicists who are using muon tomography to...
A scalable and fast artificial neural network syndrome decoder for surface codes
Spiro Gicev1, Lloyd C. L. Hollenberg1, and Muhammad Usman1,2,31Center for Quantum Computation and Communication Technology, School of Physics, University of Melbourne, Parkville, 3010, VIC,...
Deep recurrent networks predicting the gap evolution in adiabatic quantum computing
Naeimeh Mohseni1,2, Carlos Navarrete-Benlloch3,4,1, Tim Byrnes5,6,7,8,9, and Florian Marquardt1,21Max-Planck-Institut für die Physik des Lichts, Staudtstrasse 2, 91058 Erlangen, Germany2Physics Department, University of Erlangen-Nuremberg,...
Sparse Neural Networks Point Physicists to Useful Data | Quanta Magazine
IntroductionSuppose you have a thousand-page book, but each page has only a single line of text. You’re supposed to extract the information contained in...
Demand forecasting at Getir built with Amazon Forecast | Amazon Web Services
This is a guest post co-authored by Nafi Ahmet Turgut, Mutlu Polatcan, Pınar Baki, Mehmet İkbal Özmen, Hasan Burak Yel, and Hamza Akyıldız from...
Machine-learning framework classifies pneumonia on chest X-rays
Pneumonia is a potentially fatal lung infection that progresses rapidly. Patients with pneumonia symptoms –...
Snapper provides machine learning-assisted labeling for pixel-perfect image object detection
Bounding box annotation is a time-consuming and tedious task that requires annotators to create annotations that tightly fit an object’s boundaries. Bounding box annotation...
Use a data-centric approach to minimize the amount of data required to train Amazon SageMaker models
As machine learning (ML) models have improved, data scientists, ML engineers and researchers have shifted more of their attention to defining and bettering data...
SETI: How AI-boosted satellites, robots could help search for life on other planets
AI-infused algorithms developed to find signs of life in extreme terrestrial environments could help robotic rovers sent to other planets search for signs of...
Achieve high performance at scale for model serving using Amazon SageMaker multi-model endpoints with GPU
Amazon SageMaker multi-model endpoints (MMEs) provide a scalable and cost-effective way to deploy a large number of machine learning (ML) models. It gives you...
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