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Past experience matters too. For example, if the last time a person felt a twinge in their lower back it developed into sciatica, with significant pain that took months of therapy to come right, the next time they experience a twinge in their back the person is likely to experience more anxiety and pain. Pain, you see, isn’t an input to the body, rather pain is an output of the brain’s threat detection system.

Another major factor is a person’s current state of mind. They may rate a noxious stimulus differently from day to day, or even within a day. Indeed, from your own experiences, you might appreciate that pain associated with an injury isn’t constant throughout the day.

There’s also significant variation in pain sensitivity and tolerance between people.

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This is happening in the city of Tianjin, about an hour’s drive south of Beijing, within a gleaming office building that belongs to iFlytek, one of China’s rapidly rising artificial-intelligence companies. Beyond guarded gates, inside a glitzy showroom, the US president is on a large TV screen heaping praise on the Chinese company. It’s Trump’s voice and face, but the recording is, of course, fake—a cheeky demonstration of the cutting-edge AI technology iFlytek is developing.

Jiang Tao chuckles and leads the way to some other examples of iFlytek’s technology. Throughout the tour, Tao, one of the company’s cofounders, uses another remarkable innovation: a hand-held device that converts his words from Mandarin into English almost instantly. At one point he speaks into the machine, and then grins as it translates: “I find that my device solves the communication problem.”

IFlytek’s translator shows off AI capabilities that rival those found anywhere in the world. But it also highlights a big hole in China’s plan, unveiled in 2017, to be the world leader in AI by 2030. The algorithms inside were developed by iFlytek, but the hardware—the microchips that bring those algorithms to life—was designed and made elsewhere. While China manufactures most of the world’s electronic gadgets, it has failed, time and again, to master the production of these tiny, impossibly intricate silicon structures. Its dependence on foreign integrated circuits could potentially cripple its AI ambitions.

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https://youtube.com/watch?v=lhg87v7kQvw

It is an eye opening video. In the financial climate we are now I am not shocked that these Miners are losing based on costs.


I wrote an article on the Wave Chronicle regarding the Crypto-Currency Crash and some of the changes that could be made to make this particular market effective for those who actually want to use Crypto-Currency as a vehicle for purchasing.

The Welcome Crypto-Currency Crash

I came across a video which.


“At least in the Defense Department today, we don’t see machines doing anything by themselves,” he said, noting that agency researchers are intensely focused on building “human-machine” partnerships. “I think we’re a long way off from a generalized AI, even in the third wave in what we’re pursuing.”


Artificial intelligence does not yet pose a serious threat to humans, according to the head of the Defense Advanced Research Agency. Though the military is rushing to improve its AI capabilities, DARPA Director Dr. Steven H. Walker said AI remains “a very fragile capability.”

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Scientists at the Francis Crick Institute have discovered a set of simple rules that determine the precision of CRISPR/Cas9 genome editing in human cells. These rules, published in Molecular Cell, could help to improve the efficiency and safety of genome editing in both the lab and the clinic.

Despite the wide use of the CRISPR system, rational application of the technology has been hindered by the assumption that the outcome of genome editing is unpredictable, resulting in random deletions or insertions of DNA regions at the target site.

Before CRISPR can be safely applied in the clinic, scientists need to make sure that they can reliably predict precisely how DNA will be modified.

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