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The Forecasts for 2009 and Beyond: COMPUTERS
Àå¹Ù¿ï  2010-01-05 22:57:51, Á¶È¸ : 2,268

COMPUTERS

* Watch out! HAL from 2001 is on the way. Selfaware machine intelligence could be achieved by midcentury. Machine computation to match humans' natural self-awareness (and realizing Arthur C. Clarke's science-fiction nemesis HAL 9000) would require calculations far more rapid than now possible, as well as the development of self-sustained thinking algorithms. So a real-life HAL is yet decades away, but may be achieved by 2061. -Joseph N. Pelton, \\\"HAL, Meet SAM\\\" (Special Section, \\\"Science Fiction vs. Reality\\\"), Sep-Oct 2008, p. 36

* Search engines will become humanlike by 2050. With the \\\"semantic\\\" Web, AI-based search engines will comprehend users' questions and queries just like a human assistant. Users will enter questions and get relevant machine-generated answers; users who give it search terms will get only articles relevant to their specific requests. -Patrick Tucker, \\\"The AI Chasers,\\\" Mar-Apr 2008, p. 18

* Rainbow traps may improve computing abilities. A technique to slow down or even capture light, called rainbow trapping, may enable computers to store memory using light rather than electrons. The result could increase operating capacity of computers by 1,000%, according to researchers at the University of Surrey and Salford University in the United Kingdom. -Tomorrow in Brief, May-June 2008, p. 2

* Future data jockeys will be measuring digital capacity in yottabytes. Thanks to growing digital storage capacity, data will be measured in yottabytes (1 septillion bytes of data) by 2050. The prospect that no digital information ever need be thrown away will raise numerous possibilities, such as the ability to record and store every second of one's life on a computer (and no doubt post it on Facebook). -Kelly \\\"KJ\\\" Kuchta, quoted in \\\"Thinking Globally, Acting Locally, Living Personally,\\\" Nov-Dec 2007, p. 57

* \\\"Mapping the mob\\\" could make streets safer in emergencies. Paul M. Torrens of Arizona State University is developing an immersive 3-D computational model to simulate pedestrian behavior in the event of a sudden riot or other emergency. According to Torrens, the mob-mapping program allows him to identify deviations from normal pedestrian behavior, the better to understand what causes panic in certain situations. -Cynthia G. Wagner, \\\"Predicting Panic,\\\" Nov-Dec 2007, p. 68

* \\\"Serious gaming\\\" will help train tomorrow's health workers. Health-related computer games represent 20% of the \\\"serious game\\\" market-video games used for training and other no-nonsense purposes. The games could help train and evaluate new recruits faster, even in the field, and enable students to bypass classrooms. Another possibility is using video games to train patients to care for themselves. -Patrick Tucker, \\\"Virtual Health,\\\" Sep-Oct 2008, p. 61




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