What is Artificial Intelligence?

A prototype brain implant that uses light to change the behavior of neurons in the brain is currently being developed by the researchers at Medtronic.

They based the device to the emerging science of opto-genetic neuro-modulation where brain cells are genetically engineered to respond to light.

According to Medtronic, the aim of developing such brain implant is to understand more how electrical therapies are used to treat Parkinson's and other disorders. They said that they will use their findings to improve their electrical stimulators. But they also hope to use optical therapy directly as treatments.

While academic scientist are on the process of developing new apparatus to bring light to the brain, Medtronic is working on optogenetically based brain implant for commercial use. Their module which has the size and shape of a small USB flash drive has a power management unit, a wireless data links, a microcontroller, and an optical stimulator. And it uses fiber-optic wire to target light from a green or blue LED at target neurons in the brain.

Medtronic plans to use the device for in-house research on the effects of DBS and advertise it to neuroscience researchers.

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The left brain indicates a normal state while the right brain indicates general intelligence correlated to IQ scores.

Recently, a study about mapping the human brain has been published in the the early edition of the Proceedings of the National Academy of Sciences.

A team of neuro-scientists from the California Institute of Technology (Caltech), the University of Iowa, the University of Southern California (USC), and the Autonomous University of Madrid collaborate to have successfully mapped the brain to measure general intelligence.

According to Ralph Adolphs, one of the authors, "general intelligence is also referred to as the Spearman's g-factor" but the underlying concepts are quite vague.

Using brain imaging techniques, the team examined a uniquely wide range of data set of 241 brain-lesion patients who all took the IQ tests.

Then, the scientists mapped the area of each patient's lesion in their brains, and correlated them with the patient's IQ score to produce a map of the brain regions that affect general intelligence.

During the examinations, the researchers were amazed to find out that, instead of living in a single structure, general intelligence is distinguished by a network of regions across both sides of the brain.

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Left brain after the first trial; Right brain after 10 minutes of practice controlling movement of cursor through imagination

The human brain signals has been a subject of curiosity and exploration. And in a recent study, it showed that by just thinking about controlling the movement of a computer cursor, brain neurons populate to make it happen in real life.

As published in Proceedings of the National Academy of Sciences, scientists from the University of Washington observed the brain signals in its surface while using imagination to control the movements of computer cursor. The activity was proven with the brain-computer interface connecting the brain through tiny electrodes.

The team of experts studied eight patients awaiting surgery for epilepsy at two hospitals in Seattle. They were placed with electrodes connected to their brains' surface during the week of observation prior to the scheduled surgery.

They asked these patients to imagine moving their arms while brain activities were recorded. Then, they asked the patients to imagine moving a computer cursor towards a target object in the computer screen. And after just 10 minutes of doing so, they actually enjoyed controlling the movement of the computer cursor like it was something they do physically.

Now, this findings also provide marks on which brain signals to tap to aid in the treatment of brain-related diseases like epilepsy.

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Scientists from the Max Planck Institute for Biological Cybernetics discovered that we are able to classify an expression much better when it moves naturally.

Scientists from the Max Planck Institute for Biological Cybernetics in Tübingen, Germany learned that we can recognize facial expressions better when it is moving naturally rather than when it is in a static photograph.

There are many explanations for each facial expression. A frown may say: “Please explain that again!". A nod may signify that you understand.

We must see the expression moving for at least 100 milliseconds in order for us to gain the advantage of dynamic information. Our brain is less capable of decoding the facial motion if the video sequence is shorter.

There are series of experiments that these scientists do in order for them to prove their theories. The result of the experiment shows that either pictures or motion alone are what is needed, but it’s the combination of the temporal sequence and the right facial motion to consistently interpret facial expressions.

Dr. Christian Wallraven, co-author of the study said, "Our results also have implications for the area of computer animation, since its goal is to create artificial avatars and facial animations that are able to communicate realistically and believably."

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An example of a process in artificial intelligent system

An Artificial Intelligent System was first known as an expert system some 3000 years ago. It evolved into sophistication and the use of complicated algorithms in order to ultimately respond and learn from their masters.

A concept of machine communication was introduced by Alan Turing, known as the universal Turing machine that mimics other computing machine. The concept was largely accepted and became the basis for the development of an artificial intelligent system that we now see and use these days.

So how does an artificial intelligent system works?

Let us take for example an artificial intelligent robot.

The artificial intelligent system embedded in the robot's brain takes advantage of sensors integrated in cameras or laser devices. The sensors feed information to the robot's brain. Then, the brain checks for any historical data. If there's none, it creates a composite concept to form part of its memory.

Then the brain builds up the present situation from these concepts. Again, the brain checks for any existing response rule in the memory that is appropriate for this situation. It the picks up one of the matched response rules and sends the action part, to the limbs.

At the start, the robots memory is empty of concepts and response rules. But every time the robot "learns" a new set of response rule containing the present situation, the specific action performed and if it was useful for the objectives set for its actions.

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