Scientists reduce the time for quantum learning tasks from 20 million years to 15 minutes

Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...
eLife

Learning sequence-function relationships with scalable, interpretable Gaussian processes

This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
IEEE

Spatial Modeling with Automated Machine Learning and Gaussian Process Regression Techniques for Imputing Wafer Acceptance Test Data

Abstract: The Wafer Acceptance Test (WAT) is a significant quality control measurement in the semiconductor industry. However, because the WAT process can be time-consuming and expensive, sampling ...
Cinema Blend

‘I Was Spiraling At That Time.’ The Rock Gets Real About How The Smashing Machine Helped Him Process His Past Struggles

Movies Mark Kerr Went To Set While The Rock Was Playing Him, But It Was His Son's Reaction To The Smashing Machine That Stuck With Him: 'He's Almost Like Whispering' Active Dwayne "The Rock" Johnson ...
AppleInsider

Apple Silicon machine learning code may become more easily portable to Nvidia hardware

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...
IEEE

Gaussian Process-Based Nonlinear Moving Horizon Estimation

Abstract: In this paper, we propose a novel Gaussian process-based moving horizon estimation (MHE) framework for unknown nonlinear systems. On the one hand, we approximate the system dynamics by the ...
Science Daily

Machine learning simplifies industrial laser processes

Laser-based metal processing enables the automated and precise production of complex components, whether for the automotive industry or for medicine. However, conventional methods require time- and ...
The Economist

The race is on to build the world’s most complex machine

Few would expect the future of artificial intelligence (AI) to depend on Eindhoven, a quiet Dutch town. Yet just beyond its borders sits the headquarters of ASML, the only company that makes the ...
Scientific Research Publishing

Multi-Task Gaussian Process for Imputing Missing Daily Rainfall Data Using Nearby Stations: Case of Burkina Faso ()

1 Ecole Polytechnique de Ouagadougou, Ouagadougou, Burkina Faso. 2 Agence National Meteorologie, Ouagadougou, Burkina Faso. Precipitation is a critical meteorological factor that significantly impacts ...
Psychology Today

Trusting the Process: Self-Led Learning and Academic Success

"Am I limiting my child’s future by choosing self-led learning?" "Am I trusting my own core self in the process of being a compassionate and curious parent-guide?" These are valid concerns for parents ...