Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jun 5, 2023
What is required to allow an artificial agent to engage in rich, human-like interactions with people? I argue that this will require capturing the process by which humans continually create and renegotiate 'bargains' with each other. These hidden neg...
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jun 5, 2023
Large language models (LLMs) are one of the most impressive achievements of artificial intelligence in recent years. However, their relevance to the study of language more broadly remains unclear. This article considers the potential of LLMs to serve...
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jun 20, 2022
In recent years, we have witnessed a significant shift toward ever-more complex and ever-larger-scale systems in the majority of the grand societal challenges tackled in applied sciences. The need to comprehend and predict the dynamics of complex sys...
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jun 20, 2022
Bifurcations cause large qualitative and quantitative changes in the dynamics of nonlinear systems with slowly varying parameters. These changes most often are due to modifications that occur in a low-dimensional subspace of the overall system dynami...
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jun 20, 2022
We propose the GENERIC formalism informed neural networks (GFINNs) that obey the symmetric degeneracy conditions of the GENERIC formalism. GFINNs comprise two modules, each of which contains two components. We model each component using a neural netw...
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jun 20, 2022
We propose a machine learning (ML) non-Markovian closure modelling framework for accurate predictions of statistical responses of turbulent dynamical systems subjected to external forcings. One of the difficulties in this statistical closure problem ...
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Jun 6, 2022
This paper describes a fully experimental hybrid system in which a [Formula: see text] memristive crossbar spiking neural network (SNN) was assembled using custom high-resistance state memristors with analogue CMOS neurons fabricated in 180 nm CMOS t...
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Oct 25, 2021
Deep learning (DL) has achieved promising performance in detecting common abnormalities from the 12-lead electrocardiogram (ECG). However, diagnostic redundancy exists in the 12-lead ECG, which could impose a systematic overfitting on DL, causing poo...
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Oct 25, 2021
Heart auscultation is an inexpensive and fundamental technique to effectively diagnose cardiovascular disease. However, due to relatively high human error rates even when auscultation is performed by an experienced physician, and due to the not unive...
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Oct 25, 2021
Recent developments in computational physiology have successfully exploited advanced signal processing and artificial intelligence tools for predicting or uncovering characteristic features of physiological and pathological states in humans. While th...