A team of students in the UK has created a way to turn written equations into computer code, which could help mathematics experts solve their most complex problems.
Dominik Henjes, Paul Popa and Aleksandr Jermakov came up with their algorithmic rule during a hackathon that challenged people to use artificial intelligence and machine learning to improve lives.
Their system recognises equations and coverts them into code, even if they were written by hand on paper. It could be used by experts to develop their own programs to solve difficult mathematics problems and eliminate mistakes when manually typewriting equations into a computer.
“Dominik, Paul and Aleksandr were worthy winners,” aforesaid Tom Gray, Chief Technology Officer for Kainos. “All the 20 undergraduates who took part showed a genuine passion for AI, which was sacred to see.”
All the entries ran on Microsoft’s cloud platform, Azure, piece Naveed Hussain, a Big information and AI designer at the company, was one of the Judges. Other solutions enclosed exploitation AI to observe bias in articles, inaccurately predict flight times and delays, estimate the amount of rubbish produced in the UK and predict streets where crime will occur.
Jermakov hailed the hackathon as “the perfect stepping stone from academic cognition towards real-life applications of artificial intelligence”.
Hussain in agreement. “I was astonied by Dominik, Paul and Aleksandr’s brilliant entry and delighted that they won first prize in the hackathon,” he aforesaid. “AI is portion people crosswise the world solve problems and accomplish more at work and at home. As we progressively turn to digital solutions to help us in our daily lives, we will need more young people like these students to create the next wave of technology.”
The bootcamp is run by Kainos – Microsoft’s Partner of the Year 2018 – and forms part of a free, two-week summer camp featuring learning, workshops and practical Sessions focused on AI and its uses. It is held every year and is open to undergraduates who have an interest in machine learning and are perusal a degree in Computer Science, software program Engineering, math, physical science, applied mathematics or information Science.