Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.
Opinion
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Ifa divinity and the digital age: Why indigenous knowledge must find its place in a world of algorithms
By Ojo AdemolaFirst African Professor of Cybersecurity and Information Technology Management, Global Education Advocate, Chartered Manager, UK Digital Journalist, Strategic Advisor & Prophetic ...
Almost all the rise in US polarisation over political issues since the late 1980s occurred from 2008 onwards, a new study ...
Divisions within the US population on social and political issues have increased by 64% since 1988, with almost all this coming after 2008, according ...
Divisions within the US population on social and political issues have increased by 64% since 1988, with almost all this coming after 2008, according to a study tracking polarization from the end of ...
Almost all the rise in US polarisation over political issues since the eighties occurred from 2008 onwards, a new study suggests. Far more Americans now adopt party and ideological labels in line with ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.
A vast region of our solar system, called the Kuiper belt, stretches from the orbit of Neptune out to 50 or so astronomical units (AU), where an AU is the distance between Earth and the sun. This ...
Family has always been important to those working in population genetics. When Sohini Ramachandran was a postdoc, the issue of relatives in a dataset causing inaccurate results was considered a major ...
Graduate School of Economics, The University of Osaka, Osaka, Japan. Stock returns exhibit nonlinear dynamics and volatility clustering. It is well known that we cannot forecast the movements of stock ...
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