have particular significance for education, because as Dr. Brown of IBM said, ' to build these kinds of systems you actually need to leverage learning, automatic learning and machine learning in a variety of ways .' At the moment, even though WATSON, the world's largest computer, can beat experts at chess, can outperform humans in memory games such as Jeopardy, and can support certain kinds of decision-making, such as medical diagnosis, it still struggles with non-algorithmic thinking. One human brain has many more nodes and networks than the largest computers today. According to Dharmendra Modha , director of cognitive computing at the IBM Almaden Research Center: We have no computers today that can begin to approach the awesome power of the human mind. A computer comparable to the human brain would need to be able to perform more than 38 thousand trillion operations per second and hold about 3,584 terabytes of memory. (IBM's BlueGene supercomputer, one of the worlds' most powerful, has a computational capability of 92 trillion operations per second and 8 terabytes of storage.) However, research and development in psychology probably will lead to developments in artificial intelligence that will enable very powerful computers, probably using networked distributed computing, to eventually outperform humans in more intuitive and less certain forms of thinking. Dr. Modha went on to predict that we'll be able to simulate the workings of the brain by 2018. I'm not so sure. If we still haven't satisfactorily cracked voice recognition after 40 years, it may