Despite computers performing increasingly impressive feats, when it comes to recognising real world objects, they have fallen short. But the machines are learning that just like the robots of sci-fi blockbusters, being able to tell one thing from another is a key skill. A team of UK researchers has created software which has taught itself to recognise objects around it, with impressive accuracy. UK researchers have created software, called RadarCat, which can teach itself to recognise objects around it with impressive accuracy . Called the RadarCat, short for radar categorisation for input and interaction, the software scans the world around it uses radar to scan the world around it.

Despite computers performing increasingly impressive feats, when it comes to recognising real world objects, they have fallen short. But the machines are learning that just like the robots of sci-fi blockbusters, being able to tell one thing from another is a key skill. A team of UK researchers has created software which has taught itself to recognise objects around it, with impressive accuracy. UK researchers have created software, called RadarCat, which can teach itself to recognise objects around it with impressive accuracy . Called the RadarCat, short for radar categorisation for input and interaction, the software scans the world around it uses radar to scan the world around it.

Researchers at the University of St Andrews in Scotland recently figured out a way for a computer to recognize different types of materials and objects ranging from glass bottles to computer keyboards to human body parts. They call the resulting device RadarCat, which is short for Radar Categorization for Input and Interaction. As the name implies, this device uses radar to identify objects. RadarCat was created within the university's Computer Human Interaction research group. The radar-based sensor used in RadarCat stems from the Project Soli alpha developer kit provided by the Google Advanced Technology and Projects (ATAP) program.