Generative Data Intelligence

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NEC develops marketing strategy planning & effectiveness simulation technology using generative AI

TOKYO, Mar 25, 2024 - (JCN Newswire) - NEC Corporation (TSE: 6701) has developed a marketing strategy planning & effectiveness simulation technology that utilizes...

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How BrainPad fosters internal knowledge sharing with Amazon Kendra | Amazon Web Services

This is a guest post by Dr. Naoki Okada, Lead Data Scientist at BrainPad Inc. Founded in 2004, BrainPad Inc. is a pioneering partner...

Artificial Intelligence and Optical Character Recognition in FinTech

Banking automation is booming in recent years, with advancements in 24/7 mobile banking, enhanced security and fraud detection, blockchain integration, big data analytics, and...

Google’s $100b bad day demo may be worth the price

Opinion "The pleasure is fleeting, the position ridiculous, and the expense damnable." Famously about sex but more probably about golf, this quote is now...

Towards quantum advantage via topological data analysis

Casper Gyurik1, Chris Cade2, and Vedran Dunjko1,31LIACS, Leiden University, Niels Bohrweg 1, 2333 CA Leiden, Netherlands2QuSoft, Centrum Wiskunde & Informatica (CWI), Science Park 123,...

Hilbert curve vs Hilbert space: exploiting fractal 2D covering to increase tensor network efficiency

Giovanni Cataldi1,2,3, Ashkan Abedi4, Giuseppe Magnifico1,2,3, Simone Notarnicola1,2,3, Nicola Dalla Pozza4, Vittorio Giovannetti5, and Simone Montangero1,2,31Dipartimento di Fisica e Astronomia ``G. Galilei'', Università...

Quantum machine learning with adaptive linear optics

Ulysse Chabaud1,2,3, Damian Markham3,4, and Adel Sohbi51Department of Computing and Mathematical Sciences, California Institute of Technology2Université de Paris, IRIF, CNRS, France3Laboratoire d'Informatique de...

Novel AI Approaches For Marketing & Advertising

Marketing and advertising are some of the functional areas where AI is expected to drive the most ROI for enterprises. Unfortunately, the industry...

Quantum algorithms for Second-Order Cone Programming and Support Vector Machines

Iordanis Kerenidis1,2, Anupam Prakash1,2, and Dániel Szilágyi21QCWare, Palo Alto, California2Université de Paris, CNRS, IRIF, F-75006, Paris, FranceFind this paper interesting or want...

A quantum extension of SVM-perf for training nonlinear SVMs in almost linear time

Jonathan Allcock and Chang-Yu HsiehTencent Quantum LaboratoryFind this paper interesting or want to discuss? Scite or leave a comment on SciRate.AbstractWe propose...

Stochastic gradient descent for hybrid quantum-classical optimization

Ryan Sweke1, Frederik Wilde1, Johannes Jakob Meyer1, Maria Schuld2,3, Paul K. Fährmann1, Barthélémy Meynard-Piganeau4, and Jens Eisert1,5,61Dahlem Center for Complex Quantum Systems, Freie...

Quantum-inspired algorithms in practice

Juan Miguel Arrazola1, Alain Delgado1, Bhaskar Roy Bardhan1, and Seth Lloyd1,21Xanadu, Toronto, Ontario, M5G 2C8, Canada2Massachusetts Institute of Technology, Department of Mechanical Engineering,...

Relatedness Measures to Aid the Transfer of Building Blocks among Multiple Tasks. (arXiv:2005.03947v1 [cs.NE])

Download PDF Abstract: Multitask Learning is a learning paradigm that deals with multiple different tasks in parallel and transfers...

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