Security

Using the brain as a model inspires a more robust AI

Most artificially intelligent systems are based on neural networks, algorithms inspired by biological neurons found in the brain. These networks can consist of multiple layers, with inputs coming in one side and outputs going ...

Automotive

Scientists create a neural network for adaptive shock absorbers

Scientists at South Ural State University have proposed an effective low-level controller based on an artificial neural network with a time delay for an adaptive shock absorber. Yuri Rozhdestvensky, DSc, and his research ...

Robotics

New inspection drone uses wind to lengthen flight times

Elythor, an EPFL spin-off, has developed a new drone whose wing shape can adapt to wind conditions and flight position in real time, reducing the drone's energy consumption. What's more, the position of the wings can change, ...

Hi Tech & Innovation

AI agents help explain other AI systems

Explaining the behavior of trained neural networks remains a compelling puzzle, especially as these models grow in size and sophistication. Like other scientific challenges throughout history, reverse-engineering how artificial ...

Computer Sciences

Algorithms predict sports teams' moves with 80% accuracy

Algorithms developed in Cornell's Laboratory for Intelligent Systems and Controls can predict the in-game actions of volleyball players with more than 80% accuracy, and now the lab is collaborating with the Big Red hockey ...

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