AI News, One month, 500,000 face scans: How China is using AI to profile a ... artificial intelligence

AI Newsletter: Issue 3

In our March newsletter, we discussed Richard Sutton’s essay in which the founder of reinforcement learning argued that the sheer computational power is the king, and that the only methods worth pursuing, in the long run, are the ones that can be generalized to make use of the ever-increasing computational power.

Therefore, it should come as no surprise that another prominent machine learning scientist — Max Welling — now wrote a response to Sutton’s post, challenging the idea of implied dominance of computationally intense methods in AI over specialized model-driven ones and providing a number of examples where that statement doesn’t necessarily hold true.

However, we often have to rely on model-driven methods in the areas where the datasets are simply not large enough yet to yield best returns, although, as soon as the threshold amount of information becomes available for a specific problem area, methods that rely on the sheer computational power typically start to lead the game.

However, as it turns out, even if the will for regulation and oversight is there, the actual mechanics of that process can represent a problem almost as thorny and controversial as the application of the technology itself: in the Western world, the idea of giving too much decision-making authority to a group of arbitrarily chosen individuals doesn’t sit well with a lot of folks, as it was clearly demonstrated by the recent Google troubles, while in China it is the actions of the government itself that are now being deemed dangerous, which in turn means that the state-led regulation isn’t always the right answer either.

At the same time, however, AI can do a great deal to help us tackle some of the really important issues in areas like climate change, weather prediction or the search for new materials and chemicals — in other words, areas that have less to do with human constructs of fairness and justice, and more with the hard facts — and it is already delivering amazing value in some of those areas.

Fastest supercomputer in the world will be built in the US by 2021

'Frontier’s record-breaking performance will ensure our country’s ability to lead the world in science that improves the lives and economic prosperity of all Americans and the entire world,' said U.S. Secretary of Energy, Rick Perry.  'Frontier will accelerate innovation in AI by giving American researchers world-class data and computing resources to ensure the next great inventions are made in the United States.' According to the U.S. Department of Energy, Frontier, which will be housed at a laboratory in Oak Ridge, Tennessee, will be able to exceed one quintillion calculations per second, as reported by The Verge -- that's as much processing power as the next 160 fastest supercomputer combined, said AMD.

This scale of computing power is useful for complex modeling that could help predict natural disasters, climate change, even deliver complex medical diagnoses.   While Frontier may be the world's fastest supercomptuer once its built, China is also in the process of developing its own competitor capable of operating at an exascale, which it plans to have ready a year earlier than Frontier.  China also outpaces the U.S. in number of supercomputers, with with 227 of the world's fastest computers compared to America's 109 according to The Verge.  As the project to build Frontier gets underway, the U.S. and Intel are also in the midst of developing another supercomputer called Aurora that will be capable of operating at an exascale.  That machine is slated to be finished in 2021 and is being developed in Argonne National Laboratory in Chicago.

Mousse Magazine

Today, the idea that machines can think and even display human characteristics is linked to what media theorist and philosopher Matteo Pasquinelli calls “cognitive capitalism,” the idea that we are now just as much under the control of Google’s power and monopoly via their invisible algorithm, PageRank, as we are under the control of similar “Big Brother” practices like we see in China, where mass government dataveillance is prefiguring the introduction of social engineering software, a total lack of privacy and political censorship.1 According to Pasquinelli, machine and organism are at the center of a hitherto misunderstood cybernetic paradigm, which he says overlaps with twentieth-century studies in neurology and philosophy, mathematics and the evolution of augmented and artificial intelligence and machine learning, or what he calls “computational animism.” If the Internet and the field of cybernetics are indeed vectors of a new geography, as Pasquinelli claims, then how can artists hack, navigate and appropriate these forms today?

According to the curatorial text, “Synthetic Folklore raises questions about whether and how artificial intelligence can protect us from the pitfalls of homogenization, xenophobia, and essentialism.” A point I couldn’t help but read as amenable to Pasquinelli’s position that we are confronting today what is an ontologically different substrate of capitalism, defined more as within a creative stage of production, where networks of open-source collaboration have given way to a discursive new materialism.

Curated by Joanna Warsza, the latest exhibition at the CSW feels like an extra-disciplinary arrival to a hitherto unrealized do-it-yourself technological utopia, immanent to open-ended and natural systems, reflecting on what I saw as art’s capacity to elicit and construct interactions between spatial research, economic interest, cybernetics, and politics.

No longer bound to rigid, art historical definitions of abstraction, in these works what we encounter are new forms that employ an ethos of DIY cybernetic materialism, indelibly connected to the picture-making potential of open-source coding networks and their potential to create new art/machine hybrids.

Only here Simon has replaced the spaceship in the original game with an ornamental 19th century Caucasian rug, not unlike something you might expect from Slavs and Tartars, who examine using both critical themes and humorous themes alike, subjects like history as an expression of cultural geography and Otherness, providing amble fodder to aesthetic and cultural processes that can continually be (re-)negotiated and (re-)constructed.

In Cracow Bread (2005), for example, we find a cute robotic pet crawling along the gallery floor outfitted with a loaf of classic Polish bread on its back, again referencing Simon’s interest in culture clash, albeit here that of a machine (robot) /folk (bread) hybrid.

It also poses significant questions with respect to the legal and ethical implications of advanced facial-recognition technologies and the countries and companies that deploy them. In Simon’s works, which are a series of photos presented Salon-style on a wall, the faces his algorithm has constructed are blurry and not fully developed, gender bending faces not quite human.

In a recent New York Times article by Paul Mozur, he cites an associate at the Center on Privacy and Technology at Georgetown Law who says that its inevitable that AI will be used by someone “to repress an ethnicity,  and the likelihood of it being used by governments in highly invasive ways is bound to increase.3 Nevertheless, the exhibition feels like a psychedelic cruise down the neon-lined semio-folk-cybernetic highway of Simon’s mind, bringing us to new places along the continuum of technology and it’s increasingly important place in the world today.

If today we are in the midst of a new era of power analytics and dynamics within cognitive capitalism, Simon seems to be prefiguring how algorithms of abstraction are becoming increasingly more prevalent in societies that likewise are becoming more mechanized and enmeshed within cybernetic, digital infrastructures.

One Month, 500,000 Face Scans: How China Is Using A.I. to Profile a Minority

In a major ethical leap for the tech world, Chinese start-ups have built algorithms that the government uses to track members of a largely Muslim minority group..

One Month, 500,000 Face Scans: How China Is Using A.I. to Profile a Minority

The Chinese government has drawn wide international condemnation for its harsh crackdown on ethnic Muslims in its western region, including holding as ...

135 CCNT “Smart Monkey’s & Pig Brain Resurrection” - 04.18.2019

Flippy connects to the neural net, who also wrote a country song, Sony robot balls, 3d heart printing breakthrough, planet of the apes turns out to be a ...

'So to Speak' podcast: Mustafa Akyol on jailing journalists in Turkey [audio]

Follow us on Twitter: Like us on Facebook: iTunes:

135 CCNT “Smart Monkey’s & Pig Brain Resurrection” - 04.18.2019

Flippy connects to the neural net, who also wrote a country song, Sony robot balls, 3d heart printing breakthrough, planet of the apes turns out to be a ...

China 5G Car Technology

China 5G Car Technology Subscribe For More Incredible Video On Asia Tik Tok.

135 CCNT “Smart Monkey’s & Pig Brain Resurrection” - 04.18.2019

Source: Flippy connects to the neural net, who also wrote a country song, Sony ..

CHINA Xinhua's first English AI (ARTIFICIAL INTELLIGENCE) anchor makes debut

Xinhua's first English AI anchor makes debut at the World Internet Conference that opens in Wuzhen, China . Xinhua AI anchor, launched on Wednesday, starts ...

In Australia, Muslims Call for Pressure on China Over Missing Relatives

Members of the Uighur ethnic group want their adopted homeland to take action over China's internment camps, into which many of their loved ones seem to ...

LIVE: Google CEO Sundar Pichai testifies on Data Collection (C-SPAN)

Google CEO Sundar Pichai testifies on user data practices before the House Judiciary Committee.