Computer Sciences

Large sequence models for sequential decision-making

Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, for example, GPT-3 and Swin Transformer.

Robotics

Morphing robots can grip, climb and crawl like insects

Pulling inspiration from the natural world, researchers at Colorado State University have developed a trio of robots that can morph their bodies and legs as needed to better crawl, shimmy or swim over difficult terrain.

Engineering

Engineers create artificial cilia at the microscale

A small team of engineers at Eindhoven University of Technology in the Netherlands, working with a colleague from the Max Planck Institute for Intelligent Systems in Germany, has found a way to create tiny artificial cilia ...

Computer Sciences

Evolutionary computation for expensive optimization: A survey

The term 'Expensive optimization problem' (EOP) refers to any problem that requires expensive or even unaffordable costs to evaluate candidate solutions. These problems exist in many significant real-world applications.

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