Future research and development of biological materials for foods, feeds, fibres, materials and medicines will increasingly rely on information and knowledge using Artificial Intelligence (AI) applications for detecting patterns to make useful decisions.
Charles Lawson+2 more
wiley +1 more source
Engaging with online social media platforms is an important part of life as a public figure in modern society, enabling connection with broad audiences and providing a platform for spreading ideas.
Liam Burke-Moore+2 more
doaj +1 more source
In this paper, we aim to solve the issue of pattern formation mechanisms in a spatiotemporally discrete activator–inhibitor model that incorporates self- and cross-diffusions.
You Li+4 more
doaj +1 more source
The hybrid approach to Quantum Supervised Machine Learning is compatible with Noisy Intermediate Scale Quantum (NISQ) devices but hardly useful. Pure quantum kernels requiring fault‐tolerant quantum computers are more promising. Examples are kernels computed by means of the Quantum Fourier Transform (QFT) and kernels defined via the calculation of ...
Massimiliano Incudini+2 more
wiley +1 more source
Charting cellular differentiation trajectories with Ricci flow
Complex biological processes, such as cellular differentiation, require intricate rewiring of intra-cellular signalling networks. Previous characterisations revealed a raised network entropy underlies less differentiated and malignant cell states.
Anthony Baptista+2 more
doaj +1 more source
QRS Detection in Noisy Electrocardiogram Based on Multi‐Parameter Constrained Stochastic Resonance
One major challenge of QRS wave detection is the deleterious impact of inevitable noise in electrocardiogram (ECG) signals, which can deteriorate the detection performance of algorithms. Previous research has shown a nonlinear monostable potential‐based algorithm for enhancing the QRS complex in a noisy environment. Its main mechanism is the stochastic
Wenyu Shang, Masaki Sekino
wiley +1 more source
Rehumanizing Higher Education: Fostering Humanity in the Era of Machine Learning
ABSTRACT Recent advancements in artificial intelligence (AI) have raised contentious questions and spawned divided opinions regarding the future of education. The polarization it brings to the academy seems to be breaking between the soft and hard disciplines and is reminiscent of the Science Wars of the 1990s. This chapter highlights the philosophical
Joseph Carver, Samba Bah
wiley +1 more source
Passed the Turing Test: Living in Turing Futures
The world has seen the emergence of machines based on pretrained models, transformers, also known as generative artificial intelligences for their ability to produce various types of content, including text, images, audio, and synthetic data. Without resorting to preprogramming or special tricks, their intelligence grows as they learn from experience ...
openaire +3 more sources
Updating the Turing Test Wittgenstein, Turing and Symbol Manipulation [PDF]
In this paper I present an argument against the feasibility of the Imitation Game as a test for thinking or language understanding. The argument is different from the five objections presented by Turing in his original paper, although it tries to maintain his original intention. I therefore call it “the Sixth Argument” or “the Argument from Context”. I
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Experimental Determination of Calcite Solubility in H2O‐KCl‐NaCl‐LiCl Solutions at 700°C and 8 kbar
This book is Open Access. A digital copy can be downloaded for free from Wiley Online Library.
Explores the behavior of carbon in minerals, melts, and fluids under extreme conditions
Carbon trapped in diamonds and carbonate-bearing rocks in subduction zones are examples of the continuing exchange of substantial carbon ...
James Eguchi, Yuan Li, Craig E. Manning
wiley +1 more source