By Jeremy Hsu
Silicon Valley giants such as Google and Facebook have been trying to harness artificial intelligence by training brain-inspired neural networks to better represent the real world. Digital Reasoning, a cognitive computing company based in Franklin, Tenn., recently announced that it has trained a neural network consisting of 160 billion parameters—more than 10 times larger than previous neural networks.
The Digital Reasoning neural network easily surpassed previous records held by Google’s 11.2-billion parameter system and Lawrence Livermore National Laboratory’s 15-billion parameter system. But it also showed improved accuracy over previous neural networks in tackling an “industry-standard dataset” consisting of 20,000 word analogies. Digital Reasoning’s model achieved an accuracy of almost 86 percent; significantly higher than Google’s previous record of just over 76 percent and Stanford University’s 75 percent. ….[Read more]
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