Researchers have developed a machine learning tool that could help further understanding of synaptic activity in learning and neurodevelopment.
Researchers have developed a computer system with the ability to produce a variation of characters in an unfamiliar writing system. The symbols are indistinguishable from those created by humans.
Researchers have developed new software that is able to detect a person's ability to understand and share feelings in therapy sessions.
Researchers demonstrate that robots are able to learn much like young children.
Researchers are partnering with IBM's Watson to advance how computers could help humans to be able to solve problems more creatively.
Researchers have developed an artificial neural network that has been able to communicate with and learn human language.
Researchers have developed a synthetic synapse that mimics natural synaptic plasticity. They believe the synthetic synapse could help improve electronics and bring us one step close to human like artificial intelligence.
Researchers report they have developed a system that can help improve running skills based on big data analysis.
Researcher proposes a Theory of Connectivity which suggests neural cliques provide a basic framework for how neurons connect and function.
Researchers have developed a new deep learning method that teaches computers to 'see' and understand the activities humans perform in a typical day.
Researchers utilize artificial intelligence to help understand why some groups of cells deviate from normal development during embryogenesis.
According to researchers, machine learning systems have improved ability to classify images if 'partial credit' is given during training as reinforcement.
