Generative Data Intelligence

Tag: Convolutional Neural Networks

Learning ground states of gapped quantum Hamiltonians with Kernel Methods

Clemens Giuliani1,2, Filippo Vicentini1,2, Riccardo Rossi1,2,3, and Giuseppe Carleo1,21Institute of Physics, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland2Center for Quantum Science and...

5 Essential Skills for AI Engineers in 2024 | BitPinas

Share some Bitpinas love:AI engineers design, test, develop, train, and implement AI models, as well as develop robust software solutions to support models that...

Reverse Image Search: The Ultimate Guide For 2023

In 2023, the field of Reverse Image Search has witnessed remarkable evolution and significant advancements, transforming how you explore the vast visual landscape...

Embark on an AI Career: Essential Online Courses for Aspiring Data Scientists | BitPinas

Share some Bitpinas love:In our article about the 10 highest-paying AI-related jobs around the globe, data scientists ranked second on the list, with an...

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,...

Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints

Taylor L. Patti1,2, Jean Kossaifi2, Anima Anandkumar3,2, and Susanne F. Yelin11Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA2NVIDIA, Santa Clara, California 95051, USA3Department...

Top Must-Follow AI Influencers and Thought Leaders to Stay Updated | BitPinas

Share some Bitpinas love:AI is one of the fastest-paced industries today. Thus, following influencers and though leaders that produce AI content will surely help...

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...

Entanglement entropy production in Quantum Neural Networks

Marco Ballarin1,2,3, Stefano Mangini1,4,5, Simone Montangero2,3,6, Chiara Macchiavello4,5,7, and Riccardo Mengoni81These authors contributed equally to this work2Dipartimento di Fisica e Astronomia "G. Galilei", via...

Award winning studies focus on reducing radiotherapy risks – Physics World

ESTRO 2023, the annual congress of the European Society for Radiotherapy and Oncology, featured an...

AI Crash Course: Basic Terminology for Artificial Intelligence Investors – American Institute for Crypto Investors

One of my top rules for digital asset investors is to be able to explain your investments, but with AI advancing as fast...

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...

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