Kaspar, a humanoid robot designed to help children with autism, is set to be trialled by the NHS. The child-sized robot was created by researchers at the University of Hertfordshire and is programmed to respond to touch. Kaspar is designed to play games with children, using a collection of skin sensors placed on various parts of its body to "encourage certain tactile behaviours" and discourage "inappropriate" ones. It will be used to teach five-to-ten year-olds who have recently been diagnosed with Autism Spectrum Disorder (ASD) how to socialise and communicate. This is because research indicates that early intervention increases the likelihood of improved long-term outcomes for children with the condition.

Major landmarks around the world are Lighting It Up Blue on April 1 and 2 to raise awareness about Autism Spectrum Disorders (ASD) for World Autism Awareness Day at Forte Sangallo on April 02, 2016 in Nettuno, Italy. In recent months, artificial intelligence (AI) has been making its presence known in different fields of sciences. In fact, AI is deemed as a valuable asset in precision medicine. But now, a team of researchers is exploring the possibilities if machine learning could play a vital part in autism screening, diagnostics and intervention. Before delving deeper into the latest research on the importance of artificial intelligence in autism screening and diagnostics, let's first define the two most relevant subjects on the study - autism and machine learning. According to Autism Speaks, autism refers to the "general term used for group of complex disorders of brain development," which are marked by social interaction, verbal and nonverbal communication difficulties, as well as repetitive behaviors.