Generative Data Intelligence

Tag: generative adversarial networks

Generative AI Landscape In The Mobile App Development Industry

The emergence of Generative Artificial Intelligence (Gen AI) and its intersection with mobile app development has led to remarkable advancements in creativity, personalization, and...

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Zapata AI touts generative AI applicability as trading debut edges closer – Inside Quantum Technology

By Dan O'Shea posted 19 Feb 2024 Zapata AI, a company that started life in 2017 with a...

Video generation models as world simulators

This technical report focuses on (1) our method for turning visual data of all types into a unified representation that enables large-scale training of...

People Are Using Basic AI to Bypass KYC —But Should You? – Decrypt

Common controls in place to fight financial fraud—anti-money laundering (AML) measures and know-your-customer (KYC) requirements—may have met their match in AI.An underground service called...

People Are Using Basic AI to Bypass KYC —But Should You? – Decrypt

Common controls in place to fight financial fraud—anti-money laundering (AML) measures and know-your-customer (KYC) requirements—may have met their match in AI.An underground service called...

Quantum News Briefs: January 29, 2024: Infleqtion Accelerates Commercialization of Quantum Products at Scale with Silicon Photonics Acquisitions; Intel collaborates with UMC to develop...

By Kenna Hughes-Castleberry posted 29 Jan 2024 Quantum News Briefs: January 29, 2024:  Infleqtion Accelerates Commercialization of Quantum Products...

Democratized AI

What is Democratized AI:  The democratization of artificial intelligence entails universal access to AI. Put simply, open-source datasets and tools, which were created by prominent...

How AI Is Shaping the Future of Cybercrime

COMMENTARYAs cybersecurity experts predicted a year ago, artificial intelligence (AI) has been a central player on the 2023 cybercrime landscape, driving an increase of attacks...

Generalization despite overfitting in quantum machine learning models

Evan Peters1,2,3 and Maria Schuld41Department of Physics, University of Waterloo, Waterloo, ON, N2L 3G1, Canada2Institute for Quantum Computing, Waterloo, ON, N2L 3G1, Canada3Perimeter...

The AI Trend In Crypto: Best Altcoins And Deep Learning Models

The AI trend has taken a significant leap forward in 2023, reshaping our understanding of what’s possible. As we delve into 2024, these advancements...

Quantum Deep Hedging

El Amine Cherrat1,2, Snehal Raj1, Iordanis Kerenidis1,2, Abhishek Shekhar3, Ben Wood3, Jon Dee3, Shouvanik Chakrabarti4, Richard Chen4, Dylan Herman4, Shaohan Hu4, Pierre Minssen4,...

Quantum Wasserstein distance based on an optimization over separable states

Géza Tóth1,2,3,4,5 and József Pitrik5,6,71Theoretical Physics, University of the Basque Country UPV/EHU, ES-48080 Bilbao, Spain2EHU Quantum Center, University of the Basque Country UPV/EHU, Barrio...

Adaptive Quantum State Tomography with Active Learning

Hannah Lange1,2, Matjaž Kebrič1,2, Maximilian Buser1,2, Ulrich Schollwöck1,2, Fabian Grusdt1,2, and Annabelle Bohrdt3,41Department of Physics and Arnold Sommerfeld Center for Theoretical Physics (ASC), Ludwig-Maximilians-Universität...

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