Creating and verifying stable AI-controlled robotic systems in a rigorous and flexible way

Neural networks have made a seismic impact on how engineers design controllers for robots, catalyzing more adaptive and efficient machines. Still, these brain-like machine-learning systems are a double-edged sword: Their complexity makes them powerful, but it also makes it difficult to guarantee that a robot powered by a neural network will safely accomplish its task.

AI found to boost individual creativity — at the expense of less varied content

A new study finds that AI enhances creativity by boosting the novelty of story ideas as well as the ‘usefulness’ of stories — their ability to engage the target audience and potential for publication. However, AI was not judged to enhance the work produced by more creative writers and the study also warns that while …

A new neural network makes decisions like a human would

Humans make nearly 35,000 decisions every day, from whether it’s safe to cross the road to what to have for lunch. Every decision involves weighing the options, remembering similar past scenarios, and feeling reasonably confident about the right choice. What may seem like a snap decision actually comes from gathering evidence from the surrounding environment. …