Technology Inceptions: Powerful Robots Helps in Faster Detection of Bridge Defects  |  Teacher Insights: Are you susceptible to persuasion?   |  Science Innovations: Mushrooms to help fight TB  |  Management lessons: How to Create Cool Brands and Stay Cool  |  Health Monitor: Honey Helps Increase Testosterone Levels in Males  |  Parent Interventions: Women Oncologists Skip Scientific Conference to Take Care of Children  |  Career News: Chinmaya University-CPPR Announce MA in Public Policy and Governance Course  |  Parent Interventions: Electrical zap to retrieve memory  |  Science Innovations: Laura Kreidberg: Trying to Spot the First Sign of Life Outside Earth  |  Parent Interventions: Don't Let Children Drink Too Much Juice, Sugar Water With Little Nutrients  |  Technology Inceptions: Low-Cost Tissue Freezing Device to Help In Breast Cancer Treatment  |  Science Innovations: Exomoons May Become Quasi-planets  |  Science Innovations: Blue Tongue Lizard Babies As Clever as Adults  |  Parent Interventions: Quality Sleep for Teen Health   |  Technology Inceptions: MIT Develops Artificial 'Muscles' Based on Fibers  |  
  • Pallikkutam Magazine
  • Companion Magazine
  • Mentor
  • Smart Board
  • Pallikkutam Publications

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