Quantum computing needed for complex AI
Tech community struggling to solve the problem
In order to process the vast amounts of data, Silicon Valley is talking about in its next wave of future products, a critical problem must be addressed: that of a better microchip. Conventional chips in use to today don't have the capacity to do the job, experts say.
So, before there are driverless cars dominating the highway, humanoid personal assistants, or interactive tutors self-calibrated to meet the needs of individual users, there needs to be a breakthrough in computing power.
That breakthrough will likely come with
quantum computing, experts agree, but when is the question? And by whom? China is working feverishly on the problem, as well as DARPA in the US. Article
In the trillion dollar market space of A.I., the US's Applied Materials sure to win
Applied Materials, a producer of semiconductors, is well aware of this next stage and its CEO Gary Dickerson, recently talked about his companies favorable vantage point.
"The materials that create the power and performance [for chips] come from Applied Materials. So in that war for AI architecture leadership, Applied will win no matter who ends up winning," the CEO said. Article
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