Machine learning & AI

A hierarchical RNN-based model to predict scene graphs for images

Researchers at Shanghai University have recently developed a new approach based on recurrent neural networks (RNNs) to predict scene graphs from images. Their approach includes a model made up of two attention-based RNNs, ...

Robotics

Giving robots a better feel for object manipulation

A new learning system developed by MIT researchers improves robots' abilities to mold materials into target shapes and make predictions about interacting with solid objects and liquids. The system, known as a learning-based ...

Computer Sciences

Device allows a personal computer to process huge graphs

In data-science parlance, graphs are structures of nodes and connecting lines that are used to map scores of complex data relationships. Analyzing graphs is useful for a broad range of applications, such as ranking webpages, ...

Machine learning & AI

Clues to COVID-19 treatments could be hiding in existing data

If you want to research historical events for a college essay, learn about tropical fish, or even translate text into a different language, you can type keywords into an internet search engine and get almost instant results ...

Security

CyberGraph: mapping cyber threats to prevent the next attack

Although nearly every aspect of our lives relies on technology, our current cybersecurity infrastructure is not prepared to effectively defend our social, economic and political organizations from advancing cyberattacks, ...

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