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European researchers have designed brain-like artificial neural networks capable of numerical and spatial cognition and written language processing without any explicit training or pre-programming. Their work, based on the machine-learning approach of generative models, significantly advances the development of self-learning artificial intelligence, while also deepening understanding of human cognition.
Why should people waste their time executing some repetitive time-consuming everyday tasks which do not require creativity and intellectual capacity? Such a reasoning stands behind Professor Bruno Siciliano’s ERC funded project aiming at the creation of a new generation of service robots.
Since Leonardo da Vinci, scientists and engineers have investigated how things break or irreversibly deform, with a view to discovering unbreakable materials. This issue is at the core of Stefano Zapperi’s research. In 2011, he received an ERC Advanced grant to explore the response of materials when they are exposed to an external driving force. The long-term outcomes of his research could contribute to enhancing the safety of materials and daily products.