Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
In 1996, IBM's Deep Blue faced off against Garry Kasparov, the greatest chess mind on Earth — and changed history.
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...
A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...
A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...
This demo shows how to train and test a human pose estimation using deep neural network. In R2019b, Deep Learning Toolbox(TM) supports low-level APIs to customize training loops and it enables us to ...
The Fourier Neural Operator (FNO) [1] is a neural operator with an integral kernel parameterized in Fourier space. This allows for an expressive and efficient architecture. Applications of the FNO ...
Abstract: A machine-learning-assisted optimization (MLAO) method for antenna geometry design (AGD) (MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a convolutional neural ...
Abstract: Machine learning draws its power from various disciplines, including computer science, cognitive science, and statistics. Although machine learning has achieved great advancements in both ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results