creating software that comes close to mimicking human intelligence remains far off. But strides have being made in machine learning software that can gain abilities from experience. Companies in sectors from biotech to computing turned to these new techniques to solve tough problems or develop new products.The most striking research results in AI came from the field of deep learning, which involves using crude simulated neurons to process data.
Work in deep learning often focuses on images, which are easy for humans to understand but very difficult for software to decipher.However, the most advanced machine learning software must be trained with large data sets, something that is very energy intensive, even for companies with sophisticated infrastructure.
That’s motivating work on a new type of “neuromorphic” chips modeled loosely on ideas from neuroscience. Those chips can run machine learning algorithms more efficiently.That is the hope of an increasing number of investors who are turning to the science of artificial intelligence to make investment decisions.With artificial intelligence, programmers don't just set up compu…
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