SenseTime launches education brand to foster AI talent
SenseTime has launched a new series of artificial intelligence solutions for the education sector, as the face biometrics company pursues a mission to promote AI education and cultivate future talent.
The new offerings will be sold under the new brand SenseTime Edu, which provides students and educators with comprehensive integrated AI education solutions, including AI educational courses, learning materials like textbooks, and online platforms. The tools will be available to primary and secondary school students.
“Education plays an essential role in advancing sustainable development and technological innovation. With our academic roots, SenseTime is determined to promote AI education at all levels as we believe in the universal importance of education,” SenseTime Emerging Innovations Group President Leo Liu says in the company announcement. “We hope that the new SenseTime Edu brand will help equip the young generation with foundational knowledge of AI theories and fundamentals, and ensure they thrive in the ever-changing digital landscape.”
The first tools introduced under the SenseTime Edu brand include SenseInnolab, a platform which provides teachers and students with a large number of AI case studies, and SenseStudy, which is an existing SenseTime experimental platform. SenseStudy runs on the company’s proprietary deep learning platform, SenseParrot, and is intended to stimulate students’ interest in the area and offering project-based training courses to encourage innovation, according to the announcement. Robotics learning tool SenseStorm allows students to gain hands-on experience developing and applying their own AI algorithm.
A training program for teachers has also been established by SenseTime Edu to provide knowledge of AI concepts like machine learning and neural networks, and teach them how to use the tools.
SenseTime is reported to be considering an IPO which could be the biometrics industry’s biggest of the year, and the company recently announced 60 papers by its researchers had been selected for presentation at the European Conference on Computer Vision (ECCV).