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科学美国人60秒: 昆虫大脑知道你心中所想

lzy 于2017-11-13发布 l 已有人浏览
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昆虫大脑知道你心中所想
    小E英语欢迎您,请点击播放按钮开始播放……
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 Insect Brain System Knows What You Want
昆虫大脑知道你心中所想
The goal for a lot of tech companies today: figure out what you, their customer, want next, before you even ask. It's driven by something called similarity search.
现在科技公司的目标:在开口询问之前,弄清楚你,公司的客户需要什么。而这是由类似性检索所驱动。
"If you go to YouTube and you watch a video they're going to suggest similar videos to the one you're watching. That's similarity search. If you go to Amazon and look for similar products to the one you're going to buy, that's similarity search."
“如果你访问YouTube,然后观看视频,之后网站会向你推荐类似的视频。这就是类似性检索。如果你访问亚马逊,寻找您想买产品的相似物,这就是类似性检索。”
Saket Navlakha, a computer scientist at the Salk Institute. He says we do similarity searches too, for example, when we scan faces in a crowd for the one we know. And even fruit files do a version, related to smell:
Saket Navlakha是索克尔研究所的电脑科学家。他表示,我们也会做类似性检索,例如,我们会在人群中寻找我们认识的人。甚至水果的味道,也存在这种现象:
"So the fly is having to solve a similar problem, of kind of searching through its database of previous experiences and previous odors it has smelled, to determine what should be the most appropriate behavioral response to that odor."
“因此,苍蝇必须解决一个类似的问题,即通过检索之前的经历和之前闻到的味道,以确定对于这种气味最合适的行为反应。
But flies tag incoming odors differently from the way modern search algorithms parse similarity. A small group of neurons makes an initial evaluation of the smell. Then a much larger set of neurons is activated to make a final decision about the smell. Rather than the way a computer similarity search
但是,果蝇对气味的标记,与现代搜索的算法不同。果蝇的小部分神经元对气味进行初步分析。之后,多数的神经元被激活对气味做出最终的决定。与计算机的类似性检索不同,果蝇将检索进行简化。
does it, taking something with many dimensions, and simplifying it down to a few.
所以,Navlakha和他的同事们调整了电脑的类似检索功能,使其类似于果蝇的风格。然后比较由于果蝇激发的灵感产生的算法和传统算法。最终,生物激发的代码获胜,优于在不喜欢的类似图片测试中寻找喜欢的图像。
So Navlakha and his colleagues tweaked computer
“进化提出了一个非常优雅的方案来解决一个非常重要的问题。”该研究结果发表在《科学》杂志上。
similarity search functions to do it fly style. And then pitted the fly-inspired algorithms against conventional ones. And the biologically inspired code won out, better at telling 'like' from 'unlike' on an image-similarity test.
Navlakha表示,他和他的团队正在寻求与科技公司合作,希望让机器可以具有大脑解决问题的能力 。即使是果蝇的大脑也可以啊。
"You know evolution figured it out, it figured out a very elegant solution to this very important problem." The report is in the journal Science. [Sanjoy Dasgupta et al, A neural algorithm for a fundamental computing problem]
Navlakha says he and his team are looking to partner with tech companies now, in hopes of endowing machines with the time-tested problem-solving abilities of the brain. Even if it’s a fruit fly brain.
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