The use of technology has always been vital to the life and survival of the human race. Ever since the Neanderthals utilized wooden tools to hunt and cook 500,000 years ago, humans have been fascinated with developing the next cutting edge technology or invention. In 1955, John McCarthy used a term called artificial intelligence, and defined it as "the science and engineering of making intelligent machines". Over the last 60 years with the inventions of computers, cell phones, and the internet, artificial intelligence has become prominent in the news and in mainstream media. Today, the phrase is a hot topic, not just in tech circles, but around the globe, as many experts believe the ensuing breakthrough will come through A.I.…
Since machines don’t have the intelligence and the thought process as a human. We have been relying on technology to do many things, but will we use the most powerful technology that humans no question Our brains. Our brains are more powerful than any computer that we could make, since our brain is able to process information, and can allow us to do whatever technology lets us…
As our minds evolve, so does our imagination and the creations we come up with. Artificial intelligence may have been first imagined as an attempt at replicating our own intelligence, but the possibilities of achieving true artificial intelligence is closer than any of us have imagined. Computers, when first invented were fast at computing data, but now they communicate and calculate data much faster than most human beings, but still have difficult fulfilling certain functions such as pattern recognition. Today, research in artificial intelligence is advancing rapidly, and many people feel threatened by the possibility of a robot taking over their job, leaving human beings without work.…
Churchland is exploring the past and current views of AI in order to further explore the future of AI. They believe that AI cannot currently be conscious, but that future mapping and reverse engineering may produce an AI equivalent of the human brain.…
to design systems with such capabilities. A computer with AI could perform such tasks as learning,…
All research regarding artificial intelligence should continue, because advanced AI can provide sufficient assistance for people struggling with difficult tasks. Artificial intelligence is a branch of computer science dealing with the simulation of intelligent behavior in computers. We will prove that the continuation and furtherance of AI research are necessary.…
Cybernetics describes a broad field of study that is fairly new in many sciences. It “attempts to find common elements in the functioning of automatic machines and of the human nervous system, and to develop a theory which will cover the entire field of control and communication in machines and in living organisms.2” It has been discovered that the human brain and machines have many similarities in their operating structure. Both are capable of memory, association, and choices.…
References: [1] Touretzky, DS, and Pomerleau, DA. What’s hidden in the hidden layers? Byte 1989; August issue:227-233. [2] Fahlman, SE. Faster-learning variations on back-propagation: An empirical study. In Proceedings of the 1988 Connectionist Models Summer School, Morgan Kaufmann, 1988. [3] Fahlman, SE and Lebiere, C. The cascade-correlation learning architecture, In Advances in neural information processing systems 2, Touretzky, DS (ed.), Morgan Kaufmann, 1990. [4] Lang, KJ and Witbrock, MJ. Learning to tell two spirals apart, In Proceedings of the 1988 Connectionist Models Summer School, Morgan Kaufmann, 1988. [5] Tay, LP and Evans, DJ. Fast learning artificial neural network (FLANN II) using the nearest neighbour recall. Neural, Parallel and Scientific Computations 1994; 2(1):17-27. [6] Sun, CT and Jang, JS. A neuro-fuzzy classifier and its applications, In Proceedings of the IEEE International conference on fuzzy systems, 1993, vol. 1, pp. 94-98. [7] Chua, H, Jia, J, Chen, L and Gong, Y. Solving the two-spiral problem through input data encoding, Electronics letters 1995; 31(10):813-14. [8] Jia, J and Chua, H. Solving two-spiral problem through input data representation, In Proceedings of the IEEE International conference on neural networks, 1995, vol. 1, pp. 132-135. [9] Ulgen, F, Akamatsu, N and Iwasa, T. The hypercube separation algorithm: a fast and efficient algorithm for on-line handwritten character recognition, Applied Intelligence 1996; 6(2):101-116. [10] Singh, S. A single nearest neighbour fuzzy approach for pattern recognition, (in press, International Journal of Pattern Recognition and Artificial Intelligence, 1999). [11] Singh, S. 2D spiral recognition using possibilistic measures, Pattern Recognition Letters 1998; 19(2):141-147.…
Fogel. The purpose was to determine the effectiveness of an artificial intelligence checkers-playing computer program. Blondie24 played against some 165 human opponents and was shown to achieve a rating of 2048, or better than 99.61% of the playing population of that web site. The design of Blondie24 is based on a minimax algorithm of the checkers game tree in which the evaluation function is an artificial neural network. The neural net receives as input a vector representation of the checkerboard positions and returns a single value which is passed on to the minimax algorithm. The weights of the neural network were obtained by an evolutionary algorithm (an approach now called neuroevolution). In this case, a population of Blondie24-like programs played each other in checkers, and those were eliminated that performed relatively poorly. Performance was measured by a points system: Each program earned one point for a win, none for a draw, and two points were subtracted for a loss. After the poor programs were eliminated, the process was repeated with a new population derived from the winners. In this way, the result was an evolutionary process that selected programs that played better checkers games. The significance of the Blondie24 program is that its ability to play checkers did not rely on any human expertise of the game. Rather, it came…
An artificial neural network is an information or signal processing system composed of a large number of simple processing elements, called artificial neurons or simply nodes, which are interconnected by direct links called connections and which cooperate to perform parallel distributed processing in order to solve a desired computational task. The potential benefits of neural networks extend beyond the high computation rates provided by massive parallelism. The neural network models are specified by the net topology, node characteristics, and training or learning rules. These rules specify an initial set of weights and indicate how weights should be adapted during use to improve performance. Roughly speaking, these computations fall into two categories: natural problems and optimization problems. Natural problems, such as pattern recognition, are typically implemented on a feed-forward neural network.…
As Ray Kurzweil describes in his book “The Singularity is Near”, we are on the verge of entering into ‘Epoch 5’ – The Merger of Human Technology with Human Intelligence. Imagine a day when it will be possible to scan the brain from the inside using nanobots! In the decades ahead, I foresee computer science being used to create new breakthroughs in all realms of science and technology. For instance, using advanced software for mining vast amounts of data being collected today, hidden trends and patterns can emerge. Such applications of machine learning can help chemists, biologists, and economists solve many difficult problems. I feel excited about the idea of merging technology with…
Can robots ever behave and feel like humans? Is it possible to reconstruct our brain that robots could be as intelligent as we are? Uunfortunately, it is likely to happen. Such and others questions appear in the article under the title “ The robots are coming – or are they ? What is the current state of play in Artificial Intelligence?“ In this essay, I will present main ideas contained in the article and share my opinion about it.…
The aim of the project, founded in May 2005 by the Brain and Mind Institute of the École Polytechnique in Lausanne, Switzerland, is to study the brain's architectural and functional principles. The project is headed by the Institute's director, Henry Markram. Using a Blue Genesupercomputer running Michael Hines's NEURON software, the simulation does not consist simply of an artificial neural network, but involves a biologically realistic model of neurons. It is hoped that it will eventually shed light on the nature of consciousness. There are a number of sub-projects, including the Cajal Blue Brain, coordinated by the Supercomputing and Visualization Center of Madrid(CeSViMa), and others run by universities and independent laboratories in the UK, US, and Israel.…
Blue brain is the name of the world's first virtual brain. That means a machine that can function as human brain. Today scientists are in research to create an artificial brain that can think, response, take decision, and keep anything in memory. The main aim is to upload human brain into machine. So that man can think, take decision without any effort. After the death of the body, the virtual brain will act as the man .So, even after the death of a person we will not loose the knowledge, intelligence, personalities, feelings and memories of that man that can be used for the development of the human society. It is possible by using small robots or nanobots. . These robots will be small enough to travel throughout our circulatory system. Traveling into the spine and brain, they will be able to monitor the activity and structure of our central nervous system. They will be able to provide an interface with computers that is as close as our mind can be while we still reside in our biological form. Nanobots could also carefully scan the structure of our brain, providing a complete readout of the connections between each neuron. They would also record the current state of the brain. This information, when entered into a computer, could then continue to function as us. No one has ever understood the complexity of human brain. It is complex than any circuitry in the world. So, question may arise -Is it really possible to create a human brain??? The answer is Yes. Because whatever man has created today always he has followed the nature. When man does not have a device called computer, it was a big question for all. But today it is possible due to the technology. Technology is growing faster than everything. IBM is now in research to create a virtual brain. It is called Blue brain. If possible, this would be the first virtual brain of the…
The name of the world’s first virtual brain. That means a machine that can function as human brain. Computer simulations in neuroscience hold the promise of dramatically enhancing the scientific method by providing a means to test hypotheses using predictive models of complex biological processes where experiments are not feasible. Of course, simulations are only as good as the quality of the data and the accuracy of the mathematical abstraction of the biological processes. The first phase of the Blue Brain Project therefore started after 15 years of systematically dissecting the microanatomical, genetic and electrical properties of the elementary unit of the neocortex – a single neocortical column, which is a little larger than the head of a pin. Today scientists are in research to create an artificial brain that can think, response, take decision, and keep anything in memory. The main aim is to upload human brain into machine. So that man can think, take decision without any effort. After the death of the body, the virtual brain will act as the man .So, even after the death of a person we will not loose the knowledge, intelligence, personalities, feelings and memories of that man that can be used for the development of the human society.…