About My Health Careers Internship MedBlogs Contact us
Medindia
LOGIN REGISTER
Advertisement

New Artificial Agent Sees Like a Human

by Colleen Fleiss on May 16, 2019 at 11:16 PM
Font : A-A+

New Artificial Agent Sees Like a Human

The University of Texas computer scientists have taught an AI agent how to do things that usually humans can do namely take a few quick glimpses around and infer its whole environment, a skill necessary for the development of effective search-and-rescue robots that one day can improve the effectiveness of dangerous missions. The team, led by professor Kristen Grauman, Ph.D. candidate Santhosh Ramakrishnan and former Ph.D. candidate Dinesh Jayaraman (now at the University of California, Berkeley) published their results today in the journal Science Robotics.

But the agent developed by Grauman and Ramakrishnan is general purpose, gathering visual information that can then be used for a wide range of tasks.

Advertisement


"We want an agent that's generally equipped to enter environments and be ready for new perception tasks as they arise," Grauman said. "It behaves in a way that's versatile and able to succeed at different tasks because it has learned useful patterns about the visual world."

The scientists used deep learning, a type of machine learning inspired by the brain's neural networks, to train their agent on thousands of 360-degree images of different environments.
Advertisement

Now, when presented with a scene it has never seen before, the agent uses its experience to choose a few glimpses--like a tourist standing in the middle of a cathedral taking a few snapshots in different directions--that together add up to less than 20 percent of the full scene. What makes this system so effective is that it's not just taking pictures in random directions but, after each glimpse, choosing the next shot that it predicts will add the most new information about the whole scene. This is much like if you were in a grocery store you had never visited before, and you saw apples, you would expect to find oranges nearby, but to locate the milk, you might glance the other way. Based on glimpses, the agent infers what it would have seen if it had looked in all the other directions, reconstructing a full 360-degree image of its surroundings.

"Just as you bring in prior information about the regularities that exist in previously experienced environments--like all the grocery stores you have ever been to--this agent searches in a nonexhaustive way," Grauman said. "It learns to make intelligent guesses about where to gather visual information to succeed in perception tasks."

One of the main challenges the scientists set for themselves was to design an agent that can work under tight time constraints. This would be critical in a search-and-rescue application. For example, in a burning building a robot would be called upon to quickly locate people, flames and hazardous materials and relay that information to firefighters.

For now, the new agent operates like a person standing in one spot, with the ability to point a camera in any direction but not able to move to a new position. Or, equivalently, the agent could gaze upon an object it is holding and decide how to turn the object to inspect another side of it. Next, the researchers are developing the system further to work in a fully mobile robot.

Using the supercomputers at UT Austin's Texas Advanced Computing Center and Department of Computer Science, it took about a day to train their agent using an artificial intelligence approach called reinforcement learning. The team, with Ramakrishnan's leadership, developed a method for speeding up the training: building a second agent, called a sidekick, to assist the primary agent.

"Using extra information that's present purely during training helps the [primary] agent learn faster," Ramakrishnan said.

Source: Eurekalert
Advertisement

Advertisement
News A-Z
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
News Category
What's New on Medindia
Emotional Healing
Psychosis Risk Related to Cat Parasite
Sedentary Behavior Precipitates Night-Time Hot Flashes
View all

Medindia Newsletters Subscribe to our Free Newsletters!
Terms & Conditions and Privacy Policy.

More News on:
Amyotrophic Lateral Sclerosis (ALS) Acute Coronary Syndrome 

Recommended Reading
Artificial intelligence in Healthcare
Artificial intelligence (AI) in healthcare is the discipline using data intensive computer based ......
Test Your Knowledge on Artificial Intelligence
Artificial intelligence (AI) or machine intelligence refers to the intelligence displayed by ......
Artificial Intelligence To Pick Heart Failure Patients for Costly Treatment
Machine learning algorithm predicts sudden death in heart failure patients for the first time,...
Artificial Intelligence Overtakes Humans in Predicting Heart Attack, Death
Artificial Intelligence (AI) is overtaking humans. A new study shows that AI can predict those ......
Acute Coronary Syndrome
Acute coronary syndrome (ACS) is a sudden, acute life-threatening condition caused by a dramatic red...
Amyotrophic Lateral Sclerosis (ALS)
Find out more about the degenerative disease- Amyotrophic lateral sclerosis....

Disclaimer - All information and content on this site are for information and educational purposes only. The information should not be used for either diagnosis or treatment or both for any health related problem or disease. Always seek the advice of a qualified physician for medical diagnosis and treatment. Full Disclaimer

© All Rights Reserved 1997 - 2021

This site uses cookies to deliver our services. By using our site, you acknowledge that you have read and understand our Cookie Policy, Privacy Policy, and our Terms of Use