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Microchip Works Like Brain

on Tuesday, 17 October 2017. Posted in Artificial Intelligence

The artificial intelligence always works towards providing the human like capabilities to the system. The dream of the several researchers is to build an artificial brain that has the abilities more like the human brain. Well, that dream has taken the form of reality. Neuroinformatics scientists have now made an achievement in this course by seeing how to configure neuromorphic chips to emulate the brain's information preparing capacities continuously. The researchers exhibited this by building an artificial sensory framework that displays cognitive capacities.

 How the system was created?

 The real challenge was to design systems made of neuromorphic neurons such that they can perform particular assignments, which the analysts have now succeeded in doing. They built up a neuromorphic framework that can do complex sensorimotor assignments in the real time. They show a task that obliges a short term memory and connection dependant choice making – normal attributes that are essential for cognitive tests. In doing as such, the researchers group consolidated neuromorphic neurons into systems that executed neural processing modules proportionate to supposed "finite state machines" – a mathematical idea to depict legitimate process or system programs. The behavior can be made in the form of a finite state machine and can be transferred to the neuromorphic equipment in an automated way. According to the researchers the network connection thus form resembles the structure of the mammalian brain.

Chips can be designed for any conduct modes.

For the first time the researchers have demonstrated how a hardware neural-processing framework where the client directs the behavior can be built. According to the researchers, the system of neuromorphic chips can be arranged for a huge class of conduct modes. The outcomes are critical for the improvement of new technologies inspired by brain One application, for example, may be to consolidate the chips with sensory neuromorphic segments, for example, an artificial retina, to make complex cognitive frameworks that associate with their surroundings in real world. In the future, these chips can be combined to form a larger network and contribute to a system which can perform like human and the dream of artificial intelligence will be fulfilled.

Bright Future Of Artificial Intelligence Lies In The Rise Of Robots

on Tuesday, 10 October 2017. Posted in Artificial Intelligence

Artificial Intelligence is a research field composed of computer science, physiology, psychology, and philosophy. It is combines several fields, ranging from machine vision to expert systems. Recent growth of functionality and ubiquity of the Internet and computers has made possible the estimation of the growth rate of technology. Scientists say that, the world will be full of power computer micro chips that can be utilized in various gadgets and even human body.

When we talk about artificial intelligence along with robotics, the first scenario that emerges in front is of the robots. The century marked the rise in the robots for various purposes such as cooking, predicting the calamities, making children learn, and many more. Robots are making human life easier as compare to the olden days. Not just robots but intelligent robots, that can think and act more like humans, are getting discovered. Artificial neural network has played a significant role in developing such advanced machines. Researchers predict that in the near future we all, will encounter such machines that move freely and contain intelligence like humans.

Why to believe that the machines will have intelligence?

Recent development in the fields of software and electronics arises confidence about the growth in the robotics. Most basic reason for optimism is large-scale production of the computers. Robotic researchers, during the 1970's and 1980's, were provided computers capable of performing millions of instructions per second(MIPS). By the 1990's, the speed of processing instructions got an increase from 10 MIPS to 50,000 MIPS. Now, the system provided to the scientists has crossed all the previous speed of processing.

There are systems which are having the machine vision that can recognize objects, textures, patterns, and even the real faces. Even the personal computers consist of speech and text recognition. When it comes to calculate, computers have the power to solve million times faster than a human.

Challenge for the roboticists

The basic challenge for a researcher with artificial intelligence as domain is programming the general systems such that, they match the capabilities of the human brain. Researchers are trying to discover the complex mechanism of the brain but landing at the discovery of the simpler one.

In the near future, there will be such robots that have the perception, thoughts and intelligence like humans. Scientists will one day find some human or animal skills that can be applied to the robots.

Is it impossible for robots to attain human like intelligence?

The enormous deficits faced by the artificial intelligence researchers, the goal of achieving human like intelligence are not out of reach. The increase in processing capacities of the computers shows how fast we are on the way to achieve the fundamental goal of artificial intelligence.


Future is full of surprises. We cannot anticipate what will come out of the research in artificial intelligence. One thing we are sure is that, the rise in the robots gives a chance to the artificial intelligence scientists to achieve their basic goal. The fundamental aim of the researchers is to give the intelligence to a robot or machine that matches the capabilities of the humans. One day, we all are going to witness the huge increase in the intelligent robot because of the artificial intelligence. So, rise in robots will provide opportunities for artificial intelligence.

Solar Flares Anticipation Using Artificial Intelligence

on Tuesday, 03 October 2017. Posted in Artificial Intelligence

Solar flares are the result of sudden discharge of the magnetic energy produced in the sun's atmosphere, which causes a flash observation on its surface. The energy released is equal to numerous nuclear explosions, enough to damage communication and power grids on the Earth. Therefore, an early prediction is required to avoid the havoc caused by solar flares.

Using artificial intelligence, researchers have found a solution to predict the flares by analyzing a huge set of data produced by the Solar Dynamics Observatory. The study mainly focuses on the strength and direction of the flares, also called as the vector magnetic field, but only for a particular part of the sun. The researchers faced difficulty in anticipating the solar flares before they came across the machine learning technique of the artificial intelligence. The machine learning software would establish set of information categories by observing different patterns and comparing the relevancy with a category.

 How the system work?

The analysts recorded regions producing flares and not from the database containing more than 2,000 active regions. They categorized the regions into 25 different features such as field and current gradient, energy, etc. To train the learning machine, only 70 percent data were fed to it and the rest 30 percent is provided for the analyzing; to test the accuracy of prediction of the flares. Using only a few features out of 25, the machine provided the result about the region that would flare and the area that will not.

In spite of the fact that others have utilized distinctive systems to think of comparative results, machine learning gives a noteworthy change on the grounds that automated examination is quicker and could give prior warnings of sunlight based flares. However, the data provided was taken from the sun's surface which similar to predicting weather on Earth by noting surface temperature. The researchers are now trying the same method using the data from the solar atmosphere. This experiment shows the way by which we can predict other natural calamities like earthquake, tsunami and can prevent the disaster before it happens. The study is a ray of hope for preventing the disasters that caused humans to suffer from years.

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