Making Deep Learning Model Intelligent with Synthetic Neurons

Deep learning, a subset of the broad field of AI, refers to the engineering of developing intelligent machines that can learn, perform and achieve goals as humans do. Over the last few years, deep learning models have been illustrated to outpace conventional machine learning techniques in diverse fields. The technology enables computational models of multiple processing layers to learn and represent data with manifold levels of abstraction, imitating how the human brain senses and understands multimodal information. A team of researchers from TU Wien (Vienna), IST Austria and MIT (USA) has developed a new artificial intelligence system based on the brains of tiny animals like threadworms. This new AI-powered system is said to have the potential to control a vehicle with just a few synthetic neurons. According to the researchers, the system has decisive advantages over previous deep learning models.