This repository provides modularized Python scripts for benchmarking and validating histopathology foundation models (HFMs) on downstream tasks such as linear probing, k-nearest neighbor (kNN), ABMIL ...

This valuable study examined how sensory adaptation supports visual perception in the presence of noise. The authors used a combination of human psychophysics, electroencephalography (EEG), and deep ...

Electrochemical impedance spectroscopy (EIS) is entering an exciting stage of development as machine learning–driven (ML) spectral analysis begins to complement traditional equivalent-circuit fitting ...

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...

The |toqito package is an open-source Python library for studying various objects in quantum information, namely, states, channels, and measurements. |toqito focuses on providing numerical tools to ...

This important work presents a novel approach to infer causal relations in non-stationary time series data. To do so, the authors introduce a novel machine-learning model of Temporal Autoencoders for ...

A new Ph.D. program in the physics department designed for students who want to be at the forefront of cosmic discovery, data science and interdisciplinary research. The Mellon College of Science is ...

The XOR problem involves a logical operation that produces outputs based on different combinations of binary inputs. Outputs generated by XOR logic are not linearly separable in a hyperplane, ...

Department of Physics and Warwick Centre for Predictive Modelling, School of Engineering, University of Warwick, Coventry CV4 7AL, United Kingdom Laboratory of Computational Science and Modeling, IMX, ...

Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United ...