Showing posts with label AI. Show all posts
Showing posts with label AI. Show all posts

2012-03-23

IBM's Watson to Help Diagnose Cancer


IBM's Watson to Help Treat Cancer : Discovery News



IBM's Watson computer -- the one that beat the best human players at Jeopardy! -- will now help doctors at the Memorial Sloan-Kettering Cancer Center diagnose cancer.


IBM News room - 2012-03-22 Memorial Sloan-Kettering Cancer Center, IBM to Collaborate in Applying Watson Technology to Help Oncologists - United States

The initiative will combine the computational power of IBM Watson and its natural language processing ability with MSKCC’s clinical knowledge, existing molecular and genomic data and vast repository of cancer case histories, in order to create an outcome and evidence-based decision support system. The goal is to give oncologists located anywhere the ability to obtain detailed diagnostic and treatment options based on updated research that will help them decide how best to care for an individual patient.


MSKCC’s world-renowned oncologists will assist in developing IBM Watson to use a patient’s medical information and synthesize a vast array of continuously updated and vetted treatment guidelines, published research and insights gleaned from the deep experience of MSKCC clinicians to provide an individualized recommendation to physicians. The tool will also provide users with a detailed record of the data and evidence used to reach the recommendations.



Memorial Sloan-Kettering Cancer Center, IBM to Collaborate in Applying Watson Technology to Help Oncologists | Memorial Sloan-Kettering Cancer Center


“This comprehensive, evidence-based approach will profoundly enhance cancer care by accelerating the dissemination of practice-changing research at an unprecedented pace,” said Dr. Mark G. Kris, Chief, Thoracic Oncology Service at MSKCC and one of the clinicians leading the development effort. He noted that 85% of patients with cancer are not treated at specialized medical centers and it can take years for the latest developments in oncology to reach all practice settings.

Development work is already underway for the first applications, which include lung, breast and prostate cancers. The objective is to begin piloting the solutions to a select group of oncologists in late 2012, with wider distribution planned for late 2013. This collaboration complements an earlier announcement by IBM and WellPoint that the parties will focus on putting Watson to work on oncology solutions.


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2011-09-18

Supercomputer Analyzes the World News

Can Supercomputers Predict World Events? - Technology News - redOrbit


  • By using a supercomputer to analyze news stories, a University of Illinois researcher believes that he can predict major upcoming global events, according to various news and wire reports.
  • Writing in the journal First Monday on September 5, Kalev Leetaru, the Assistant Director for Text and Digital Media Analytics at the school’s Institute for Computing in the Humanities, Arts, and Social Science, writes, “Pooling together the global tone of all news mentions of a country over time appears to accurately forecast its near–term stability, including predicting the revolutions in Egypt, Tunisia, and Libya, conflict in Serbia, and the stability of Saudi Arabia.”


BBC News - Supercomputer predicts revolution


Mood and location
  • Reports were analysed for two main types of information: mood - whether the article represented good news or bad news, and location - where events were happening and the location of other participants in the story.
  • Mood detection, or "automated sentiment mining" searched for words such as "terrible", "horrific" or "nice".
  • Location, or "geocoding" took mentions of specific places, such as "Cairo" and converted them in to coordinates that could be plotted on a map.
  • Analysis of story elements was used to create an interconnected web of 100 trillion relationships.

Leetaru

Contents

Introduction
Data sources
Method
Forecasting unrest: Conflict early warning
The spatial dimension of news
Mapping the “civilizations” of the world’s press
Conclusions

Sean Gourley on the mathematics of war | Video on TED.com



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2011-07-19

ZenRobotics Waste Recycling

Coming Soon: Intelligent Recycling Robots - Jennifer Hicks - Dante's Soma - Forbes

ZenRobotics believes they have the answer to solving the CND waste problem with their intelligent industrial robots. A robotic recycling system powered by AI that can not only sort the waste, but it can tell the difference between what can be recycled/reused and what can’t be recycled.

 First, they don’t actually make the robots. They make the AI that goes in the robots. Second, their AI brain is so smart it identifies, sorts and separates raw material from waste from the shape of that waste. This is their special sauce.

 This 1.44 minute video shows you how serious Zen Robotics is about waste and their intelligent robots.



ZenRobotics :: Company

ZenRobotics Ltd., founded in 2007, is a Finnish high-tech company specializing in robotic recycling technology. The company's main product is ZenRobotics Recycler, a waste sorting system which separates raw materials from waste.

ZenRobotics Recycler will revolutionize the way recycling works – and help solve the global waste crisis that is getting out of hand.
ZenRobotics Ltd. is an expert in:
  • advanced AI robotics and sensor fusion
  • recycling technology

Collected from: ZenRobotics :: Company

ZenRobotics :: Product


ZenRobotics Recycler is a robotic waste sorting system. Built with off the shelf industrial robotics components, the system utilizes machine learning to separate raw materials from waste. ZenRobotics Recycler is designed for commercial and industrial (C&I) waste, municipal solid waste (MSW), and construction (CND) waste.


ZenRobotics Recycler uses multiple sensor inputs to identify items and raw materials. Possible sensors include Visible spectrum cameras, NIR, 3D laser scanners, haptic sensors, transillumination etc. Thanks to the sensors, a diverse and accurate analysis of waste is possible for the first time.

Unlike any other sorting method, ZenRobotics Recycler can perform multiple simultaneous sorting tasks; reclaim various raw materials and remove contaminants from the main stream. For example, contaminant removal may include the separation of unwanted materials like electronics, PVC, and minerals from the resulting burnable fraction.



Collected from: ZenRobotics :: Product

 
ZenRonotics develops biologically-inspired, machine learning software which can be used to operate standard industrial robots and train them to separate multiple raw materials from waste. A plethora of sensors like visible spectrum cameras, near infrared cameras, 3D laser scanners, X-rays, metal detectors and weight detectors can be used to recognise materials of different types. ZenRobotics also uses sensors like 3D scanners and touch sensors to improve the robot’s gripper.

Software which learns is rarely 100 percent accurate at performing the task it is trained to do. The false positive and false positive rates are therefore important measures of the effectiveness of a machine learning algorithm. In this case, those measures translate into the rate at which materials are mis-identified or not reycled when they should be. ZenRobotic’s CEO Jaakko Sarela declined to give exact figures but said that the “accuracy is very high. In the end of the day, the purity rate of the recycled material depends mostly on the customer needs.”

ZenRobotics states that by using its robots, users could get more cash for recyclables, reduce landfill tipping fees, lower their operating costs, and reduce the risk to human employees who would otherwise be doing the sorting themselves. They also foresee a day when a smaller version could be used for sorting household waste.

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2010-10-12

NELL: Never-Ending Language Learning -- A Computer System that Learns to Read The Web

Smarter Than You Think - Aiming to Learn as We Do, A Machine Teaches Itself - NYTimes.com



Since the start of the year, a team of researchers at Carnegie Mellon University — supported by grants from the Defense Advanced Research Projects Agency and Google, and tapping into a research supercomputing cluster provided by Yahoo — has been fine-tuning a computer system that is trying to master semantics by learning more like a human. Its beating hardware heart is a sleek, silver-gray computer — calculating 24 hours a day, seven days a week — that resides in a basement computer center at the university, in Pittsburgh. The computer was primed by the researchers with some basic knowledge in various categories and set loose on the Web with a mission to teach itself.

The Never-Ending Language Learning system, or NELL, has made an impressive showing so far. NELL scans hundreds of millions of Web pages for text patterns that it uses to learn facts, 390,000 to date, with an estimated accuracy of 87 percent. These facts are grouped into semantic categories — cities, companies, sports teams, actors, universities, plants and 274 others. The category facts are things like “San Francisco is a city” and “sunflower is a plant.”



  Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:
  • First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
  • Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.
As of October 2010, NELL has acquired a knowledge base of nearly 440,000 beliefs that it has read from various web pages. It is not perfect, but NELL is learning. You can track NELL's progress, browse and download its knowledge base, and read more about our technical approach.


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2010-03-31

Collective Intelligence (CI)

Collective intelligence is a shared or group intelligence that emerges from the collaboration and competition of many individuals. Collective intelligence appears in a wide variety of forms of consensus decision making in bacteria, animals, humans, and computer networks. The study of collective intelligence may properly be considered a subfield of sociology, of business, of computer science, of mass communications and of mass behavior—a field that studies collective behavior from the level of quarks to the level of bacterial, plant, animal, and human societies. The concept also frequently appears in science fiction as telepathically linked species and cyborgs.

[...]

According to Don Tapscott and Anthony D. Williams, collective intelligence is mass collaboration. In order for this concept to happen, four principles need to exist. These are openness, peering, sharing and acting globally.
Openness
In the early stage of communications technology, people and companies are reluctant to share ideas, intellectual property and encourage self-motivation because these resources provide the edge over competitors. However, in time people and companies began to loosen hold over these resources as they reap more benefits in doing so. Allowing others to share ideas and bid for franchising will enable products to gain significant improvement and scrutiny through collaboration.
Peering
This is a form of horizontal organization with the capacity to create information technology and physical products. One example is the ‘opening up’ of the Linux program where users are free to modify and develop it provided that they made it available for others. Participants in this form of collective intelligence have different motivations for contributing, but the results achieved are for the improvement of a product or service. As quoted, “Peering succeeds because it leverages self-organization – a style of production that works more effectively than hierarchical management for certain tasks.”
Sharing
This principle has been controversial with the question being “Should there be a law against the distribution of intellectual property?” Research has shown that more and more companies have started to share some, while maintaining some degree of control over others, like potential and critical patent rights. This is because companies have realized that by limiting all their intellectual property, they are shutting out all possible opportunities. Sharing some has allowed them to expand their market and bring out products faster.
Acting Globally
The advancements in communication technology has prompted the rise of global companies, or e-Commerce that has allowed individuals to set up businesses at low to almost no overhead costs. The influence of the Internet is widespread, therefore a globally integrated company would have no geographical boundaries but have global connections, allowing them to gain access to new markets, ideas and technology. Therefore it is important for firms to get updated and remain globally competitive or they will face a declining rate of clientèle.

Kevin Kelly: Predicting the next 5,000 days of the web

http://www.ted.com At the 2007 EG conference, Kevin Kelly shares a fun stat: The World Wide Web, as we know it, is only 5,000 days old. Now, Kelly asks, how can we predict what's coming in the next 5,000 days?



Davos 2010 - IdeasLab with MIT - Thomas Malone

deasLab with MIT
Join the Massachusetts Institute of Technology in the IdeasLab to discover the latest insights and perspectives on the nature of intelligence




MIT Center for Collective Intelligence

While people have talked about collective intelligence for decades, new communication technologies—especially the Internet—now allow huge numbers of people all over the planet to work together in new ways.  The recent successes of systems like Google and Wikipedia suggest that the time is now ripe for many more such systems, and the goal of the MIT Center for Collective Intelligence is to understand how to take advantage of these possibilities.



Collective intelligence has existed for at least as long as humans have. Tribes of hunter-gatherers, nations, and modern corporations all act collectively with varying degrees of intelligence. But this ancient phenomenon is now occurring in dramatically new forms. For example:
  • Google uses the knowledge millions of people have stored in the World Wide Web to provide remarkably useful answers to users' questions
  • Wikipedia motivates thousands of volunteers around the world to create the world's largest encyclopedia
  • Innocentive lets companies easily tap the talents of the global scientific community for innovative solutions to tough R&D problems
With new communication technologies-especially the Internet-huge numbers of people all over the planet can now work together in ways that were never before possible in the history of humanity. It is thus more important than ever for us to understand collective intelligence at a deep level so we can create and take advantage of these new possibilities.

Sources:
  1. Collective intelligence - Wikipedia, the free encyclopedia
  2. YouTube - Kevin Kelly: Predicting the next 5,000 days of the web
  3. YouTube - Davos 2010 - IdeasLab with MIT - Thomas Malone
  4. MIT Center for Collective Intelligence
  5. MIT Center for Collective Intelligence
Related:
  1. Handbook of Collective Intelligence
  2. Forget IQ, Collective Intelligence is the New Measure of Smart (video) | Singularity Hub
  3. Artificial Intelligence: CI AND AI, open source software development, collective intelligence
  4. Blog of Collective Intelligence
  5. Is Collective Intelligence (CI) The Future?
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2009-11-26

News at Seven Virtual Newscast

clipped from www.popsci.com

A.I. Anchors Replace Human Reporters In Newsroom of the Future

A.I. Anchors Engineers at Northwestern have created an entire newsroom operation using artificial intelligence, even using avatars to anchor the evening news.
screenshot

Projects News At Seven


News At Seven is a system that automatically generates a virtual news show.

Totally autonomous, it collects, parses, edits and organizes news stories and then passes the formatted content to artificial anchors for presentation. Using the resources present on the web, the system goes beyond the straight text of the news stories to also retrieve relevant images and blogs with commentary on the topics to be presented.

Once it has assembled and edited its material, News At Seven presents the content to its audience using avatars and text-to-speech (TTS) technology in a manner similar to the nightly news watched regularly by millions of Americans. The result is a cohesive, compelling performance that successfully combines techniques of modern news programming with features made by possible only by the fact that the system is, at its core, completely virtual.
clipped from www.youtube.com

News at Seven

Kris Hammond, professor of electrical engineering and computer science, and his research group have developed a new automated newscast, called News at Seven.
clipped from www.youtube.com

Virtual Newscast: News at Seven


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Sources:
  1. A.I. Anchors Replace Human Reporters In Newsroom of the Future | Popular Science
  2. Intelligent Information Laboratory @ Northwestern University - Projects - News At Seven
  3. YouTube - News at Seven
  4. YouTube - Virtual Newscast: News at Seven
Related:
  1. Virtual News Cast – Are Any Journalists Safe From Automation? (videos) | Singularity Hub
  2. nsf.gov - Special Report - Science Nation
  3. YouTube - NewsAtSeven's Channel
  4. Watch coverage of EECS project “News at Seven” from WTTW
  5. New newscast offers virtual anchor, personalized content
  6. YouTube - Movie Review
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2009-04-03

The Robot Scientist

Clipped from: Robot scientist makes discoveries without human help - tech - 02 April 2009 - New Scientist

Robot scientist makes discoveries without human help

A robot scientist that can generate its own hypotheses and run experiments to test them has made its first real scientific discoveries


Dubbed Adam, the robot is the handiwork of researchers at Aberystwyth University and the University of Cambridge in the UK. All by itself it discovered new functions for a number of genes in Saccharomyces cerevisiae, aka brewer's yeast.


Clipped from: Robo-scientist makes gene discovery--on its own | Crave - CNET

Robo-scientist makes gene discovery--on its own


Adam (shown in background) may not look like its two colleagues in the white coats, but it's starting to act like them.

Clipped from: BBC NEWS | Science & Environment | Robo-scientist's first findings

British Broadcasting Corporation

Robo-scientist's first findings

Robotic planning

Adam can carry out up to 1,000 experiments each day, and was designed to investigate the function of genes in yeast cells - it has worked out the role of 12 of these genes.

Biologists use the yeast cells to investigate biological systems because they are simple and easy to study.

"When you sequence the yeast genome - the 6,000 different genes contained in yeast - you know what all the component parts are, but you don't know what they do," explained Professor King.
The robot was able to work out the role of the genes by observing yeast cells as they grew.

Clipped from: Robot Makes Scientific Discovery All by Itself | Wired Science from Wired.com

Robot Makes Scientific Discovery All by Itself



[...] with advances in artificial intelligence, it's conceivable that the role of robots would, in the more distant future, creep deeper into the human realm, progressing from lab technician to lab head. Robots may even be capable of performing supposed acts of genius, such as Einstein's conception of special relativity.

"There isn't any intrinsic reason why that wouldn't happen," says King. "I think there's a continuum between the really basic types of science that you'd get from Adam, and the things I can do, and then Einstein-type science. A computer can make beautiful chess moves, but it's not doing anything special. It's just doing more of the same thing. In my view that's what's going to happen in science."

Clipped from: The Department of Computer Science at the University of Wales, Aberystwyth ::

Computational Biology Group and Wolfson Bioinformatics Unit

Our aim is to do innovative research in both computer science and biological science by developing computing and artificial intelligence techniques for application to important biological problems. An essential component in this multidisciplinary field is our close collaboration with the biotechnology and pharmaceutical industries, and with other key research groups.

Projects

...
Robot Scientist
...

Clipped from: The Robot Scientist

Robot Scientist logo
The Robot Scientists are multidisciplinary research projects involving expertise from Computer Science and Microbiology, and are projects of the Computational Biology research group at the Aberystwyth University. We currently have two Robot Scientists, Adam (investigating yeast functional genomics) and Eve (investigating drug screening).
Related:

Robot scientist makes discoveries without human help - tech - 02 April 2009 - New Scientist

Robot scientist makes discoveries without human help - video 18393346001 - tech - 02 April 2009 - New Scientist

Robo-scientist makes gene discovery--on its own | Crave - CNET

BBC NEWS | Science & Environment | Robo-scientist's first findings

Robot Makes Scientific Discovery All by Itself | Wired Science from Wired.com

Robot scientist 'Adam' solves genetic problems - Times Online

Robot scientists can think for themselves | Global Industries | Health & Drugs | Reuters

Robot Scientist Becomes First Machine To Discover New Scientific Knowledge

The Department of Computer Science at the University of Wales, Aberystwyth ::

The Robot Scientist

The Automation of Science -- King et al. 324 (5923): 85 -- Science

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2009-03-01

MITRE -- Head Tracking Visual Telepresence

Clipped from: YouTube - MITRE Immersive Vision System

MITRE Immersive Vision System

Demonstration of a highly responsive head tracked vision system used for visual telepresence.
http://www.mitre.org/news/digest/adva...

"With remote robot interaction we can use visual telepresence to trick users' brains into thinking their eyes have been transported onto the robot," says Kyle Fawcett. "This unlocks the brain's natural ability to build a mental model of the remote environment. The better our vision system mimics interaction with the remote environment, the more we tap into our brain's natural spatial mapping abilities."




Clipped from: Artificial Intelligence and Robotics: MITRE immersive spherical vision system

Artificial Intelligence and Robotics

MITRE immersive spherical vision system

MITRE scientists have worked out a solution to this latency problem replacing the limited field of view camera on the pan-tilt unit with a spherical vision camera which has no moving parts. The camera of choice is the Ladybug commercially sold by Point Grey Research in Canada. Stanford's Urban Challenge autonomous car also used the same camera for part of its perception system. This spherical vision system consists of 6 cameras which capture images simultaneously covering a large portion of the view sphere around it. Software stitches the images together into a single view in real-time. These spherical vision images are then available to the operator to view for any orientation of his head.

Clipped from: MITRE - News and Events - MITRE Publications - The MITRE Digest - Advanced Research - Immersive Vision Gives the Best Control to Military Robots

MITRE

Immersive Vision Gives the Best Control to Military Robots









Related:
Artificial Intelligence and Robotics: MITRE immersive spherical vision system
MITRE - News and Events - MITRE Publications - The MITRE Digest - Advanced Research - Immersive Vision Gives the Best Control to Military Robots
MITRE develops hemispheric camera for visual telepresence - Engadget
Point Grey Research, Inc. - Digital Cameras for Industrial, Machine, and Computer Vision
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2009-02-27

Einstein Robot

Clipped from: YouTube - Einstein Robot - UCSD Machine Perception Laboratory

Einstein Robot - UCSD Machine Perception Laboratory

Scientists at UC San Diego's California Institute for Telecommunications and Information Technology (Calit2) have equipped a robot modeled after the famed theoretical physicist with specialized software that allows it to interact with humans in a relatively natural, conversational way. The so-called "Einstein Robot," which was designed by Hanson Robotics of Dallas, Texas, recognizes a number of human facial expressions and can respond accordingly, making it an unparalleled tool for understanding how both robots and humans perceive emotion, as well as a potential platform for teaching, entertainment, fine arts and even cognitive therapy.



Clipped from: Introducing the scarily realistic Einstein robot who can tell how you feel | Mail Online


Introducing the scarily realistic Einstein robot who can tell how you feel


With a big bushy moustache and a shock of white hair, scientists have modeled an ultra realistic robot on Albert Einstein. [...] Using specialised software the machine can recognise and respond to a number of human facial expressions in a natural way.

Clipped from: Calit2 : It's All Relative: UC San Diego's Einstein Robot Has 'Emotional Intelligence'

Calit2

"In the short-term, Einstein is being used to develop computer vision so we can see how computers perceive facial expressions and develop hardware to visually react," says Javier Movellan, a research scientist in the Calit2-based UCSD Machine Perception Laboratory (MPL). "This robot is a scientific instrument that we hope will tell us something about human-robot interaction, but also human-to-human interaction.

"When a robot interacts in a way we feel is human, we can't help but react. Developing a robot like this one teaches us how sensitive we are to biological movement and facial expressions, and when we get it right, it's really astonishing."

[...]

Another important part of the robot's inner workings is its Character Engine Artificial Intelligence Control Software, which allows the programmer to author and define the persona of the character so it can hold a conversation.

"Einstein has pretty broad conversational abilities, although not like a human," Hanson notes. "In the demo mode, he might say something like, 'I'm an advanced perceptual robot bringing together many technologies into a whole that's greater than the sum of my parts, but here's what some of my parts can do. I can see your facial expressions and mimic them. I can see your age and gender. So why don't we demo some of these technologies?'"

Clipped from: Einstein Returns As A Robot

MyFoxTampaBay.com logo_20090128120301669_PNG

Einstein Returns As A Robot




The robot can recognize and mimic 5,000 facial expressions and is powered by 31 motors and innovative new technology. The Einstein robot could be the next big thing in the world of engineering.

Javier Movellan, a professor at the college, says: "The best expressions that it can recognize right now are expressions of sadness and happiness."

Movellan adds, "You know that children with autism have problems recognizing facial expressions and producing facial expressions in social communication. So we're trying to see whether this robot will actually be useful and helpful to teach children with autism how to communicate with human beings."

Scientists hope to use the technology to improve the way computers relate to people.


Related:
Introducing the scarily realistic Einstein robot who can tell how you feel | Mail Online
Calit2 : It's All Relative: UC San Diego's Einstein Robot Has 'Emotional Intelligence'
MACHINE PERCEPTION LABORATORY
Einstein Returns As A Robot
Einstein robot smiles when you do | Technology | Reuters
It's All Relative: UCSD's Einstein Robot Has 'Emotional Intelligence' (Video)
NewsDaily: Einstein robot smiles when you do
It's All Relative UC San Diego's Einstein Robot Has 'Emotional Intelligence'
FOXNews.com - Einstein Robot Head Dazzles Tech Conference - Science News | Science & Technology | Technology News
Is Albert Einstein robot too human? Everything’s relative - Times Online
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2008-07-08

Polaris Poker Bot Defeats Professional Poker Players

Polaris, a poker playing program developed by the computer poker research group at the University of Alberta. competed On July 3-6, 2008, against six human professional poker players in the Second Man-Machine Poker Championship which took place during the 2008 Gaming Life Expo at the Rio All-Suite Hotel and Casino in Las Vegas.

Polaris defeated the human players convincingly with 3 wins, 2 losses and 1 tie.

Polaris - Man vs Machine: 2k8

In 2007, Phil Laak and Ali Eslami squeaked out a narrow victory against Polaris and it’s creators. Polaris is back and refined to go up against 5 competitors hand picked by http://www.stoxpoker.com founder Nick Grudzien.

The matches are taking place at the 2008 Gaming Life Expo in Las Vegas, Nevada, are sponspored by StoxPoker and powered by Poker Academy. The UofA Poker Group is live blogging and hand casting the match.

Man vs Machine 2008 – Results

Polaris has defeated Man in the 2008 Man vs Machine competition!

Final Standings: (.5 given for ties)
Polaris: 3.5
Humans: 2.5

The Man Machine Event is a competition pitting a team of Poker players against the University of Alberta's advanced poker bot Polaris. The game is a $500/$1000 Limit Heads
Up Texas Holdem, with a duplicate reverse match system (the same cards are dealt in both games but the human and bot is reversed in the second match).

blog it

Related:
Poker Academy Blog
Poker Academy Blog-update
Man vs Machine – Polaris vs Laak and Eslami
Man vs Machine II – Polaris vs Online Poker's Best
Man vs Machine 2008 – Results
Poker match pits man vs. machine in world first match
Online Casino News : Man vs Machine Poker Challenge Announced
Polaris (poker bot) - Wikipedia, the free encyclopedia
Computer poker players - Wikipedia, the free encyclopedia
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2008-05-02

iCub A Robot with Artificial Intelligence


Robots developed on the iCub platform have technologies for – grasping, locomotion, interaction, and even language-action association – these are of great relevance to further advances in the field of industrial service robotics.


iCub robot learns baby talk

iCub will be the first robot in the world which will learn, think and talk like a human with help of specialists who research how parents teach children to speak. Over the next four years robotics experts in the European ITALK project will work with language development. The experiments with the iCub robot will include activities such as inserting objects of various shapes into the corresponding holes in a box, serialising nested cups and stacking wooden blocks.

clipped from www.tech.plym.ac.uk
icub-media-small.jpg
vadim-photo-simulator-Dec2007.JPG
The ITALK project aims to develop artificial embodied agents able to acquire complex behavioural,cognitive, and linguistic skills through individual and social learning.
This will be achieved through experiments with the iCub humanoid robot to learn to handle and manipulate objects and tools autonomously, to cooperate and communicate with other robots and humans, and to adapt to changing internal, environmental, and social conditions.
clipped from www.youtube.com
ITALK Project - interview with Angelo Cangelosi

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Related:
ITALK - Integration and Transfer of Action and Language Knowledge in Robots
First Humanoid Robot That Will Develop Language May Be Coming Soon
BBC NEWS | UK | England | Devon | Plan to teach baby robot to talk
Plymouth expecting UK's first baby robot
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