Machine learning & AI

Q&A: How to make AI systems learn better

Artificial intelligence systems are smart. They can recognize patterns better than humans, for example. Yet humans are still very much needed. How can you better steer those AI systems? LIACS lecturer Jan van Rijn wrote a ...

Internet

Opportunistic networks for collaborative editing

Opportunistic networks are ad hoc networks that allow connectivity between users where conventional network infrastructure may not be present, allowing people to work together over the OppNet and share data. Writing in the ...

Security

Fingerprinting the Internet of Things

The Internet of Things (IoT) refers to the growing number and type of devices that are connected to the internet. IoT devices range from Amazon Alexa and Google Home to bluetooth coffee makers and toothbrushes. Unlike cell ...

Engineering

Imaging through random diffusers instantly without a computer

Imaging through scattering and diffusive media has been a challenge for many decades, with numerous solutions reported so far. In principle, images distorted by random diffusers (such as frosted glass) can be recovered using ...

Machine learning & AI

Physical systems perform machine-learning computations

You may not be able to teach an old dog new tricks, but Cornell researchers have found a way to train physical systems, ranging from computer speakers and lasers to simple electronic circuits, to perform machine-learning ...

Computer Sciences

Harnessing noise in optical computing for AI

Artificial intelligence and machine learning are currently affecting our lives in many small but impactful ways. For example, AI and machine learning applications recommend entertainment we might enjoy through streaming services ...

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