What Do We Do When Machines Start to Think?

Phil and Stephen discuss a major breakthrough in artificial intelligence:

IBM’s resistive computing could massively accelerate AI — and get us closer to Asimov’s Positronic Brain

From the linked story:

Using chips densely packed with these RPU tiles, the researchers claim that, once built, a resistive-computing-based AI system can achieve performance improvements of up to 30,000 times compared with current architectures, all with a power efficiency of 84,000 GigaOps per-second per-watt. If this becomes a reality, we could be on our way to realizing Isaac Asimov’s fantasy vision of the robotic Positronic brain.

And it’s not just Asimov’s robots — Data on Star Trek also had a positronic brain…

If true AI is on its way, we better start unlearning some of our misconceptions about it. Luckily, George Dvorsky is on the case:

Everything You Know About Artificial Intelligence is Wrong

Well, maybe not everything. But then for something this important, we don’t want to be wrong about anything, do we?

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About Phil 523 Articles
Phil Bowermaster is a nationally recognized author and speaker. He has more than 25 years experience writing about emerging technologies and the future. As co-host of the popular Internet radio series, The World Transformed, Phil has talked with leading scientists and technologists, best-selling authors, philosophers, filmmakers, artists, entrepreneurs and others who are shaping our understanding of the amazing era of transformation in which we live. Phil helps leaders and their organizations develop strategies for managing accelerating change. He shows how imagination, optimism, empathy, and humor can make all the difference in both understanding and making the most of the powerful currents of change we face.