Google Goggles brings image processing to the masses

The recent release of Google Goggles brings sophisticated image processing algorithms to the masses for free. Just point your phone-camera onto something you are interested about and in no time you have all the information on your screen. Impressive! But how do they do it? The latest computer vision techniques can transform an image into a bag of words, which represent the main image features. This approach would make sense for Google because then they could use their normal search engine to index millions of images in no time. Just a guess! Anyway, enjoy the video below... it's a must see!

Simulated brain closer to thought

Published by Jason Palmer - BBC on 22/04/09

A detailed simulation of a small region of a brain built molecule by molecule has been constructed and has recreated experimental results from real brains. The "Blue Brain" has been put in a virtual body, and observing it gives the first indications of the molecular and neural basis of thought and memory. Scaling the simulation to the human brain is only a matter of money, says the project's head. The work was presented at the European Future Technologies meeting in Prague. The Blue Brain project launched in 2005 as the most ambitious brain simulation effort ever undertaken. While many computer simulations have attempted to code in "brain-like" computation or to mimic parts of the nervous systems and brains of a variety of animals, the Blue Brain project was conceived to reverse-engineer mammal brains from real laboratory data and to build up a computer model down to the level of the molecules that make them up. Click for more...

Robot scientist 'Adam' solves genetic problems

Published by Lewis Smith - The Times on 03/04/09

A robot has become the first of its kind to make a scientific discovery by solving a problem that human researchers have failed to crack for decades. The robot, called Adam, was able to work out where an important gene would be located and to develop experiments to prove its theory. It had been challenged to identify a gene in yeast for which its human counterparts had been searching since at least the 1960s. The robot, devised at Aberystwyth University, was able to identify the gene, which controls an enzyme crucial to the production of lysine, an amino acid essential to growth. It is thought that robots like Adam, and its successor, Eve, which is soon to be switched on at Aberystwyth, offer new hope in the battle against disease. Professor Ross King, who led the project, said that malaria and schistosomiasis, an infection caused by a parasitic worm, were among the diseases that robots should be able to help to defeat. Adam’s discovery, he said, was likely to play an important role in developing new treatments for fungal diseases such as athlete’s foot. [Click for more...]

CADIE: April fools or not?

As you are reading these lines you have probably already read Google's April fools joke on CADIE (Cognitive Autoheuristic Distributed-Intelligence Entity), a self-conscious computer system. Good sense of humour you may say, or great imagination! But could this just be a fun way of introducing a new reality? Could Google be close to building the first self-conscious machine that passes the Turing test? What do you think? After all, if Google cannot make it who can?

Intelligent computers put to the test

Published by The Observer on 05/10/2008

Can machines think? That was the question posed by the great mathematician Alan Turing. Half a century later six computers are about to converse with human interrogators in an experiment that will attempt to prove that the answer is yes. In the 'Turing test' a machine seeks to fool judges into believing that it could be human. The test is performed by conducting a text-based conversation on any subject. If the computer's responses are indistinguishable from those of a human, it has passed the Turing test and can be said to be 'thinking'. No machine has yet passed the test devised by Turing, who helped to crack German military codes during the Second World War. But at 9am next Sunday, six computer programs - 'artificial conversational entities' - will answer questions posed by human volunteers at the University of Reading in a bid to become the first recognised 'thinking' machine. If any program succeeds, it is likely to be hailed as the most significant breakthrough in artificial intelligence since the IBM supercomputer Deep Blue beat world chess champion Garry Kasparov in 1997. It could also raise profound questions about whether a computer has the potential to be 'conscious' - and if humans should have the 'right' to switch it off. Click here for more...

Team Stellar wins the MoD Grand Challenge

Published by The Guardian on 19/08/2008

The Grand Challenge winner, announced today, was Team Stellar – a collaboration of small firms, researchers from Cranfield University and large industrial manufacturers. It beat off competition from 10 other teams whose creations included a swarm of quadropters (helicopters with four rotors), a scaled-down JCB lookalike and a mini flying saucer. The strange collection of craft were taking part in an ambitious competition to develop uncrewed surveillance vehicles that can help the military identify enemy positions in a town or city before sending in troops. The MoD earmarked £4.5m to stage the contest and develop the technologies for the battlefield. The teams competed over three days at Copehill Down, a mocked-up German village on Salisbury Plain that the army uses for training soldiers in house-to-house fighting. Click here for more...

[G.K Comment: What a challenge! It was such a great experience to be working with Team Stellar. Everybody worked incredibly hard, so it's a well deserved victory.]

IBM's new 'human brain' supercomputer

Published by ITPro on 04/06/08

IBM says next week will see the release of a successor to the world's fastest supercomputer Blue Gene, which it claims will have the calculating capability of the average human brain. The Blue Gene/P will be capable of operating at 'petascale' speeds (one quadrillion operations per second). This a significant jump in processing power from the previous version, the Blue Gene/L which was 'only' capable of terascale speeds (one trillion operations per second).The news was announced by Nicholas M. Donofrio, IBM's soon to be retired executive vice president for Innovation and Technology, at IBM's first European Information on Demand conference in the Netherlands. He was making a speech on how innovation and the ability to transform invention into products, services, methods, processes and policies was a vital part of business in the past, present and future. Click for more...

Computer model knows what you're thinking

Published by Kerri Smith on Nature journal (29/05/08)

A computer model has been developed that can predict what word you are thinking of. The model may help to resolve questions about how the brain processes words and language, and might even lead to techniques for decoding people’s thoughts. Researchers led by Tom Mitchell of Carnegie Mellon University in Pittsburgh, Pennsylvania, 'trained' a computer model to recognize the patterns of brain activity associated with 60 images, each of which represented a different noun, such as 'celery' or 'aeroplane'. The team started with the assumption that the brain processes words in terms of how they relate to movement and sensory information. Words such as 'hammer', for example, are known to cause movement-related areas of the brain to light up; on the other hand, the word 'castle' triggers activity in regions that process spatial information. Click for more...

Free choice activates a decision circuit between frontal and parietal cortex

Published by Bijan Pesaran, Matthew J. Nelson & Richard A. Andersen on Nature journal (16/04/08)

We often face alternatives that we are free to choose between. Planning movements to select an alternative involves several areas in frontal and parietal cortex that are anatomically connected into long-range circuits. These areas must coordinate their activity to select a common movement goal, but how neural circuits make decisions remains poorly understood. Here we simultaneously record from the dorsal premotor area (PMd) in frontal cortex and the parietal reach region (PRR) in parietal cortex to investigate neural circuit mechanisms for decision making. We find that correlations in spike and local field potential (LFP) activity between these areas are greater when monkeys are freely making choices than when they are following instructions. We propose that a decision circuit featuring a sub-population of cells in frontal and parietal cortex may exchange information to coordinate activity between these areas. Cells participating in this decision circuit may influence movement choices by providing a common bias to the selection of movement goals. Click for more...

Neuroscience: Brain control of a helping hand

Published by John F. Kalaska on Nature journal (28/05/08)

Paralysed patients would benefit if their thoughts could become everyday actions. The demonstration that monkeys can use brain activity for precise control of an arm-like robot is a step towards that end. Strokes, spinal-cord injuries and degenerative neuromuscular disease all cause damage that can severely compromise the ability of patients to use their muscles. The loss of mobility and independence that results from such motor deficits takes a devastating toll on their quality of life. Medical research is striving on many fronts to reverse the disease or injury state of such patients. Meanwhile, other approaches are needed to enhance their quality of life. Often, the patient's condition leaves intact parts of the cerebral cortex involved in voluntary motor control, including the primary motor cortex, premotor cortex and posterior parietal cortex. These patients are still able to produce the brain activity that would normally result in voluntary movements, but their condition prevents those signals from either getting to the muscles or activating them adequately. In such cases, one possible solution is to let the subjects think about what they would like to do as if they were mentally rehearsing the desired actions, record the resulting brain activity, and use those signals to control a robotic device. The development of such brain–machine interfaces (BMIs), or neuroprosthetic controllers, is being pursued in several laboratories. Click for more...