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Here’s How Pharma Is Using AI Deep Learning To Cure Aging

LEF has access to blood tests from its customers who take the product. That means data should be available in less than a year. If it works, we can expect other DNN-developed geroprotectors.


In 2011, scientists made one of the most important discoveries in the history of AI development. They found that graphics processing units (GPUs) are far better at simulating biological learning than central processing units (CPUs).

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It Still Doesn’t Really Matter What A.I. Can Score on IQ Tests

This has a look at where the intelligence of AI is at right now:

“the researchers came up with a means of testing intelligence that can be translated onto a 100-point scale. They purportedly administered their tests to actual human adults in 2014, and the average score for those 18 years or older was just around 97 points. A 6-year-old human averaged out to a score of 55.5.

In the 2016 A.I. testing rounds, no machine was able to crack the 50-point threshold, but Google Assistant got close. Based on testing in 2016, Google Assistant racked up a 47.28. The Chinese personal assistant Duer, created by Baidu, scored 37.20. Bing came out to 31.98. Apple’s Siri rounded out the top 10 with a score of 23.94.”

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The AI That Has Nothing to Learn From Humans

DeepMind’s new self-taught Go-playing program is making moves that other players describe as “alien” and “from an alternate dimension.”

It was a tense summer day in 1835 Japan. The country’s reigning Go player, Honinbo Jowa, took his seat across a board from a 25-year-old prodigy by the name of Akaboshi Intetsu. Both men had spent their lives mastering the two-player strategy game that’s long been popular in East Asia. Their face-off, that day, was high-stakes: Honinbo and Akaboshi represented two Go houses fighting for power, and the rivalry between the two camps had lately exploded into accusations of foul play.

Little did they know that the match—now remembered by Go historians as the “blood-vomiting game”—would last for several grueling days. Or that it would lead to a grisly end.

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Bootstrapping the Solar System Economy

Centauri Dreams returns with an essay by long-time contributor Alex Tolley. If we need to grow a much bigger economy to make starships possible one day, the best way to proceed should be through building an infrastructure starting in the inner Solar System and working outward. Alex digs into the issues here, starting with earlier conceptions of how it might be done, and the present understanding that artificial intelligence is moving at such a clip that it will affect all of our ventures as we transform into a truly space-faring species. Under the microscope here is a company called SpaceFab, as Alex explains below, and the potential of ISRU — in situ resource utilization. Emerging out of all this is a new model for expansion.

by Alex Tolley

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China aims to outspend the world in artificial intelligence, and Xi Jinping just green lit the plan

The inclusion of technology in the leader’s most important address in an official imprimatur that underscores the continued push by China’s top leaders to identify new pillars for an economy struggling to maintain its rapid growth amid overcapacity and rising debt.


China’s State Council laid out goals in July to build a domestic artificial intelligence industry worth nearly US$150 billion in the next few years, and to make the country a “innovation centre for AI” by 2030. Xi’s speech gave the official imprimatur to the plan.

PUBLISHED : Wednesday, 18 October, 2017, 6:56pm.

UPDATED : Wednesday, 18 October, 2017, 11:42pm.

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