Publishing online monthly from January 2019, Nature Machine Intelligence is interested in the best research from across the fields of artificial intelligence, machine learning and robotics.
Machine learning & AI
A new paper from researchers at Oxford Internet Institute, University of Oxford, highlights the benefits and risks of personalizing Large Language Models (LLMS) to their users.
Apr 23, 2024
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Machine learning & AI
Radiation therapy is one of the most widely used cancer treatments, but a drawback of the procedure is that it can cause collateral damage to healthy tissue in proximity to cancerous growths. Identifying organs at risk via ...
Oct 3, 2019
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Machine learning & AI
Now researchers are presenting guidelines for how active matter, such as cells and microorganisms, can best be studied using machine learning techniques. The guidelines can help others navigate the new field, which can significantly ...
Feb 27, 2020
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Robotics
In a new short paper in the journal Nature Machine Intelligence, Roger A. Søraa from Norwegian University of Science and Technology (NTNU) and co-authors Eduard Fosch-Villaronga from Leiden University in the Netherlands, ...
Feb 12, 2020
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Robotics
Recent trends in healthcare innovation have reflected a drastic increase in the autonomy levels of surgical robots. Despite the many clear benefits of promoting constant innovation in the field of healthcare robotics, its ...
Apr 14, 2022
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Machine learning & AI
Every day, millions of single blood cells are evaluated for disease diagnostics in medical laboratories and clinics. Most of this repetitive task is still done manually by trained cytologists who inspect cells in stained ...
Nov 12, 2019
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Machine learning & AI
Researchers from the Oxford Martin Programme on Ethical Web and Data Architectures (EWADA), University of Oxford, have called for a more considered approach when embedding ethical principles in the development and governance ...
Mar 20, 2024
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