Education Information: Dr Vikram Sarabhai Centenary Celebrations Begin  |  Policy Indications: NITI Aayog Launches India Innovation Index 2019  |  Policy Indications: Govt Get Going on Reducing Single Use Plastic  |  National Edu News: WBJEE 2020 Registrations - Begin Today Exam on February 2  |  Leadership Instincts: Blockchain Investing Are Mostly Speculative As of Now  |  Technology Inceptions: Facebook unveils TV streaming devices  |  Science Innovations: Airborne bacteria from ocean seeding clouds  |  Teacher Insights: Beware of stress in parenting  |  Parent Interventions: Classroom Management Impacts Students  |  International Edu News: Oxford grabs top slot in varsity rankings  |  Cover Story: Mark of a School  |  Education Information: Delhi Asks Government Schools to Ensure Bag Weight Criteria  |  Management lessons: Employees Concerned About Job Meaning As Much as Pay Cheque  |  National Edu News: CBSE makes Mandatory for Schools to Become Water Efficient in Next Three Years.  |  Health Monitor: Protein Treatment to Supplement Insulin Therapy for Diabetes Developed  |  
September 11, 2018 Tuesday 10:49:04 AM IST

MIT's New AI Tech Helps Robots Understand Objects

Technology Inceptions

 Imagine letting a robot clean your house while you are at work, or to clear your tables. That's exactly what the novel robot developed by researchers at the MIT can do.

 Adding machine learning capabilities to any new product brings benefits such as time savings, downtime prevention and increased productivity. However, choosing the right solution for the task isn’t always easy: machine learning (ML) processing requirements vary significantly according to workload and there is no one-size-fits-all solution.

The MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), developed a novel system which lets robots inspect random objects, and visually understand them enough to accomplish specific tasks without ever having seen them before.


From CPUs, offering moderate performance with general purpose programmability to GPUs for faster performance with graphics-intensive applications, MCUs for cost- and power-constrained embedded IoT systems and the Arm ML processor for the highest performance and efficiency for intensive ML processing, the choice can be bewildering

Comments