With reports supporting, Cognitive Assessment and Training Market a growth from USD 2.4 Billion in 2015 to USD 7.5 Billion by 2020. The technology driven start-up, Cube26 announces a strategic alliance with IIIT-Hyderabad to research on cognitive intelligence. Espousing 2-3 postgraduate and 5-6 undergraduate students from the varsity; the year-long project is committed to explore new opportunities for Cube26 in data science capabilities. The research work will also be considered as theses for the IIIT-Hyderabad students.
Commenting on the new initiative, Saurav Kumar, CEO & Co-Founder, Cube26 said, “At Cube26, we are firmly committed to strengthen our data science capabilities and make a difference with smarter technology products and solutions. The tie-up with IIIT-Hyderabad is in line with our plans to bolster customer experience powered by cognitive intelligence. There is significant amount of user feedback that could be collected to correct and improve algorithms. We envision such designs and developments in the course of our collaboration.”
“Cognitive computing technology has the potential to augment our reasoning capabilities and empower us to make better informed real-time decisions. We believe India has a huge potential to contribute to global technology innovation with R&D and we are happy to contribute in our small way. In 2016, smart machines and cognitive systems will form the foundation for enhancing speed of access to information and personalizing customer experiences. ,” he further added.
Vasudeva Varma, Professor and Dean (Research), IIIT Hyderabad said, “This is a great opportunity for our students to work on a niche subject like cognitive intelligence. The tie-up with Cube26 will help our students with hands on experience of working in a start-up environment. Cognitive intelligence is an untapped sector in India and this research will be beneficial to both Cube26 and our students.”
The main benefits of cognitive intelligence are the ability to access the best of both worlds- productivity and speed from machines, emotional intelligence and the ability to handle the unknown from humans. The growing access to mobile computation and the growth of computing strength on the mobile itself are making mobile system development an increasingly attractive proposition to reach the public. However, this multiplies the challenges in building vision and learning systems such as real data collection, response time and minimal data footprint.