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Machine Learning Is Living in the Past

Machine Learning Is Living in the Past

Current machine learning platforms largely fail to provide time-series predictions because “correlations that have held in the past may simply not continue to hold in the future,” the London-based company causalLens notes. That’s a particular problem in areas like...

Beyond the AI hype cycle: Trust and the future of AI

Beyond the AI hype cycle: Trust and the future of AI

There’s no shortage of promises when it comes to AI. Some say it will solve all problems while others warn it will bring about the end of the world as we know it. Both positions regularly play out in Hollywood plotlines like Westworld, Carbon Black, Minority...