Tag: Learning Research
How Do Machines ‘Grok’ Data? | Quanta Magazine
IntroductionFor all their brilliance, artificial neural networks remain as inscrutable as ever. As these networks get bigger, their abilities explode, but deciphering their inner...
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How Selective Forgetting Can Help AI Learn Better | Quanta Magazine
IntroductionA team of computer scientists has created a nimbler, more flexible type of machine learning model. The trick: It must periodically forget what it...
Impact of conditional modelling for a universal autoregressive quantum state
Massimo Bortone, Yannic Rath, and George H. BoothDepartment of Physics, King’s College London, Strand, London WC2R 2LS, United KingdomFind this paper interesting or want...
A new quantum machine learning algorithm: split hidden quantum Markov model inspired by quantum conditional master equation
Xiao-Yu Li1, Qin-Sheng Zhu2, Yong Hu2, Hao Wu2,3, Guo-Wu Yang4, Lian-Hui Yu2, and Geng Chen41School of Information and Software Engineering, University of Electronic Science...
The complexity of quantum support vector machines
Gian Gentinetta1,2, Arne Thomsen3,2, David Sutter2, and Stefan Woerner21Institute of Physics, École Polytechnique Fédérale de Lausanne2IBM Quantum, IBM Research Europe – Zurich3Department of Physics,...
Yann LeCun Reflects on the Impact of DjVu and Open-Access Publications in Machine Learning
In a recent series of tweets, Yann LeCun, a renowned figure in the field of artificial intelligence, shared his experiences and insights on the...
Spiden Announces Breakthrough in Non-Invasive Glucose Monitoring, Adds Key Executive Hires and Secures $15m in Additional Funding
PFAFFIKON, SWITZERLAND, Jan 6, 2024 - (ACN Newswire) - Spiden, a pioneer in non-invasive biomarker monitoring technology, is thrilled to announce a significant scientific...
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 Min-Entropy of Classical-Quantum Combs for Measurement-Based Applications
Isaac D. Smith, Marius Krumm, Lukas J. Fiderer, Hendrik Poulsen Nautrup, and Hans J. BriegelInstitute for Theoretical Physics, UIBK, 6020 Innsbruck, AustriaFind this...
Fitting quantum noise models to tomography data
Emilio Onorati1,2, Tamara Kohler1,3, and Toby S. Cubitt11University College London, Department of Computer Science, UK2Technische Universität München, Fakultät für Mathematik, DE3Instituto de Ciencias Matemáticas,...
Introducing Amazon SageMaker HyperPod to train foundation models at scale | Amazon Web Services
Building foundation models (FMs) requires building, maintaining, and optimizing large clusters to train models with tens to hundreds of billions of parameters on vast...
Efficient classical algorithms for simulating symmetric quantum systems
Eric R. Anschuetz1, Andreas Bauer2, Bobak T. Kiani3, and Seth Lloyd4,51MIT Center for Theoretical Physics, 77 Massachusetts Avenue, Cambridge, MA 02139, USA2Dahlem Centre for...
Use foundation models to improve model accuracy with Amazon SageMaker | Amazon Web Services
Photo by Scott Webb on Unsplash Determining the value of housing is a classic example of using machine learning (ML). A...
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