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To accomplish this feat the computer had to grasp not just numbers but genealogical relationships, time, proximity, causality, taxonomy and a lot of other connections.. It might function as a physician’s assistant, as a recommender of products to consumers or as a detector of credit card fraud. Maybe it could manage portfolios.
The trio chipped in savings of their own and $735,000 from angel investors to create EquBot, advisor to exchange-traded funds. IBM,, gave the entrepreneurs a $120,000 credit toward software and hardware bills. Each of those dots to be connected could be a company , a keyword or an economic factor . There are a trillion potential arrows to link them. After trial and error inside a neural network, which mimics the neuronal connections in a brain, the computer weights the few arrows that matter. Thus does the system grope its way toward knowing which ripples in input data are felt a week, a month or a year later, in stock prices.
The computer has its share of duds. It fell in love with NetApp and New Relic, perhaps reacting to a flurry of excitement in cloud computing. The stocks sank. Not to worry, says Khatua. Neural networks learn from mistakes.
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