The challenge for the teacher is delivering a lesson that caters to the 30 different students. Some will engage better with visual stimulus, others will respond to group activities. Yet, given the nature of classroom teaching, in this scenario the educator has to decide what teaching method will work best for the greatest number of students. Most people who work in the education sector would see the above scenario as an inevitable reality of teaching in a classroom. Schools in the UK do not have an infinite amount of resources to draw upon – in fact, according to a survey by the National Education Union, 55% of teachers saw their class sizes increase between April 2017 and April 2018. Moreover, half of the education professionals surveyed reported teaching posts being cut. With the number of students in the classroom rising, the idea of teachers delivering tailored lessons that cater to the learning needs of each individual pupil seems far-fetched. Yet, in reality, we are much closer than people might think, thanks to some of the exciting innovations unfolding in the AI industry.

Google Glass can help children with autism read facial expressions to assess people's emotions, a new study has revealed. Children with the developmental disorder often fail to recognise basic facial emotions, which makes social interactions and developing friendships difficult. Researchers used the internet-connected eyewear, which includes a small head-mounted display positioned above the wearer's right-eye to display notifications. Researchers paired Google Glass with smartphone software designed to read facial expressions captured by the camera on the front of the eyewear and provide social cues to the wearer on the display. The project, known as Superpower Glass, taught the children to recognise the emotions conveyed in people's facial expressions.

From phone support and mobile apps to ATMs and chatbots -- when it comes to customer service, banking automation has come a long way. However, the one missing piece that these automated banking features lack is a real human being to interact with during a transaction. That's something that Soul Machines, a New Zealand-based startup, is hoping to change. The company's new technological development is intended to bring back the human component to customer service without relying on actual people. To meet this goal, Soul Machines is producing artificial intelligence-powered avatars that are designed to emotionally engage with banking customers.

VocalIQ concentrated its deep-learning capabilities to better understand human speech. This could provide Siri with an upgrade. Perceptio can run neural-network algorithms and perform advanced calculations locally on a cellphone, without uploading user data to the cloud. This would help Apple protect consumer data by keeping it local to each phone. Emotient attempts to read facial expressions in order to determine a person's emotional state.

Being tone deaf could affect more than just your karaoke ability. A new study shows that being unable to recognise musical pitch could also have a serious affect on social skills. People with'congenital amusia' - the scientific term for tone deafness - may find it more difficult to accurately read facial expressions or tell if a laugh is fake, according to a new study. As part of the study by researchers from Goldsmiths, University of London and University College London (UCL), 24 participants were asked to judge the emotion in extracts of speech, based on patterns hear in the tone of voice. Some people claim they're born to sing, while others openly admit they're tone deaf, but what if you could take a pill and become pitch perfect?