Nature Machine Intelligence

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.

Publisher
Springer Nature Publishing AG
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Machine learning & AI

Advanced technology may indicate how brain learns faces

Facial recognition technology has advanced swiftly in the last five years. As University of Texas at Dallas researchers try to determine how computers have gotten as good as people at the task, they are also shedding light ...

Robotics

Could AI's next chapter bring design of feeling machines?

Could robots with feelings be the next step in AI? A research paper discusses an interesting approach to robot design. It is titled "Homeostasis and soft robotics in the design of feeling machines" in Nature Machine Intelligence.

Machine learning & AI

AI-driven single blood cell classification

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 ...

Machine learning & AI

Artificial intelligence improves biomedical imaging

ETH researchers use artificial intelligence to improve quality of images recorded by a relatively new biomedical imaging method. This paves the way towards more accurate diagnosis and cost-effective devices.

Machine learning & AI

Novel math could bring machine learning to the next level

A team of Italian mathematicians, including a neuroscientist from the Champalimaud Centre for the Unknown (CCU), in Lisbon, Portugal, has shown that artificial vision machines can learn to recognize complex images more quickly ...

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