Imitating the brain's neural (神經(jīng)的) network is a huge step in the right direction, says computer scientist and biophysicist Michael Conrad, but it still misses an important aspect of natural intelligence. "People tend to treat the brain as if it were made up of color-coded transistors", he explains, "but it's not simply a clever network of switches. There are lots of important things going on inside the brain cells themselves." Specifically, Conrad believes that many of the brain's capabilities stem from the pattern recognition proficiency of the individual molecules that make up each brain cell. The best way to build and artificially intelligent device, he claims, would be to build it around the same sort of molecular skills.
Right now, the notion that conventional computers and software are fundamentally incapable of matching the processes that take place in the brain remains controversial. But if it proves true, then the efforts of Conrad and his fellow AI rebels could turn out to be the only game in town.
相關(guān)推薦:專題:2008年12月英語四六級備考各題型專項突破北京 | 天津 | 上海 | 江蘇 | 山東 |
安徽 | 浙江 | 江西 | 福建 | 深圳 |
廣東 | 河北 | 湖南 | 廣西 | 河南 |
海南 | 湖北 | 四川 | 重慶 | 云南 |
貴州 | 西藏 | 新疆 | 陜西 | 山西 |
寧夏 | 甘肅 | 青海 | 遼寧 | 吉林 |
黑龍江 | 內(nèi)蒙古 |