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Category: robotics/AI – Page 2251

A new supercomputer has been deployed at the Jülich Supercomputing Center (JSC) in Germany. Called QPACE3, the new 447 Teraflop machine is named for “QCD Parallel Computing on the Cell.”

QPACE3 is being used by the University of Regensburg for a joint research project with the University of Wuppertal and the Jülich Supercomputing Center for numerical simulations of quantum chromodynamics (QCD), which is one of the fundamental theories of elementary particle physics. Such simulations serve, among other things, to understand the state of the universe shortly after the Big Bang, for which a very high computing power is required.

The demand for high performance computers to solve complex applications has risen exponentially, but unfortunately so has their consumption of power. Many supercomputers require more than a megawatt of electricity to operate and annual electricity costs can easily run into millions of Euros. The energy supply is therefore a significant part of the operating costs of a data center. According to recent analyst studies, this represents the second-largest factor in addition to personnel and maintenance costs. The upcoming boom with (3D) video streaming, augmented reality, image recognition and artificial intelligence is driving up the demand for data center capabilities, thereby placing new challenges in the power supply sector.

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The National Review via Wesley J. Smith commenting on my “AI Day replacing Christmas” story: http://www.nationalreview.com/corner/443337/ai-day-supplent-christmas #transhumanism #robots #future #AI

Scrooge’s Ghost of Christmas Yet to Come never saw this coming.

The transhumanist popularizer and pseudo presidential candidate, Zoltan Istvan, claims that “AI Day” will soon replace Christmas as the world’s most beloved holiday. From his piece in the Huffington Post:

One thing is for sure, to the human species, the birth of an advanced artificial intelligence will become far more important than the birth of Christ.

Continue reading ““AI Day” Will Never Replace Christmas” | >

Though Cheok acknowledges that sex robots could fulfill sexist male sexual fantasies, he believes robot-human marriages will have an overwhelmingly positive effect on society. “People assume that everyone can get married, have sex, fall in love. But actually many don’t,” he says. And even those who do might be in search of a different option. “A lot of human marriages are very unhappy,” Cheok says. “Compared to a bad marriage, a robot will be better than a human.”

Though various sex robots are on the market, there are none that come close to resembling a human sexual partner—and there’s certainly nothing like the type of humanoid robot capable of replicating a loving relationship. However, Cheok believes the greatest technological difficulty in creating love robots is not a mechanical challenge, but a matter of developing the software necessary to build a robot that understands human conversation skillfully enough for the job.

Once that problem has been addressed, Cheok sees no problem with romances between man and machine. “If a robot looks like it loves you, and you feel it loves you, then you’re essentially going to feel like it’s almost human love,” he says. Cheok points out that in Japan and South Korea, there are already cases of humans falling in love with computer characters. Cheok also compares robot love to human emotions for other species, such as pet cats. “We already have very high empathy for non-human creatures. That’s why I think once we have robots that act human, act emotional, or look human, it’s going to be a small jump for us to feel empathy towards robots,” he says.

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Excellent.

Researchers at Tohoku University have, for the first time, successfully demonstrated the basic operation of spintronics-based artificial intelligence.

Artificial intelligence, which emulates the information processing function of the brain that can quickly execute complex and complicated tasks such as image recognition and weather prediction, has attracted growing attention and has already been partly put to practical use.

The currently-used artificial intelligence works on the conventional framework of semiconductor-based integrated circuit technology. However, this lacks the compactness and low-power feature of the human brain. To overcome this challenge, the implementation of a single solid-state device that plays the role of a synapse is highly promising.

Continue reading “The world’s first demonstration of spintronics-based artificial intelligence” | >

Summary:

  • Clinical trial failure rates for small molecules in oncology exceed 94% for molecules previously tested in animals and the costs to bring a new drug to market exceed $2.5 billion
  • There are around 2,000 drugs approved for therapeutic use by the regulators with very few providing complete cures
  • Advances in deep learning demonstrated superhuman accuracy in many areas and are expected to transform industries, where large amounts of training data is available
  • Generative Adversarial Networks (GANs), a new technology introduced in 2014 represent the “cutting edge” in artificial intelligence, where new images, videos and voice can be produced by the deep neural networks on demand
  • Here for the first time we demonstrate the application of Generative Adversarial Autoencoders (AAEs), a new type of GAN, for generation of molecular fingerprints of molecules that kill cancer cells at specific concentrations
  • This work is the proof of concept, which opens the door for the cornucopia of meaningful molecular leads created according to the given criteria
  • The study was published in Oncotarget and the open-access manuscript is available in the Advance Open Publications section
  • Authors speculate that in 2017 the conservative pharmaceutical industry will experience a transformation similar to the automotive industry with deep learned drug discovery pipelines integrated into the many business processes
  • The extension of this work will be presented at the “4th Annual R&D Data Intelligence Leaders Forum” in Basel, Switzerland, Jan 24-26th, 2017

Thursday, 22nd of December Baltimore, MD — Scientists at the Pharmaceutical Artificial Intelligence (pharma. AI) group of Insilico Medicine, Inc, today announced the publication of a seminal paper demonstrating the application of generative adversarial autoencoders (AAEs) to generating new molecular fingerprints on demand. The study was published in Oncotarget on 22nd of December, 2016. The study represents the proof of concept for applying Generative Adversarial Networks (GANs) to drug discovery. The authors significantly extended this model to generate new leads according to multiple requested characteristics and plan to launch a comprehensive GAN-based drug discovery engine producing promising therapeutic treatments to significantly accelerate pharmaceutical R&D and improve the success rates in clinical trials.

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“Bankers will become dinosaurs.” #AI article from The Guardian. https://www.theguardian.com/technology/2016/dec/22/bridgewat…management #Transhumanism

The company is already highly data-driven, with meetings recorded and staff asked to grade each other throughout the day using a ratings system called “dots”. The Systematized Intelligence Lab has built a tool that incorporates these ratings into “Baseball Cards” that show employees’ strengths and weaknesses. Another app, dubbed The Contract, gets staff to set goals they want to achieve and then tracks how effectively they follow through.

These tools are early applications of PriOS, the over-arching management software that Dalio wants to make three-quarters of all management decisions within five years. The kinds of decisions PriOS could make include finding the right staff for particular job openings and ranking opposing perspectives from multiple team members when there’s a disagreement about how to proceed.

The machine will make the decisions, according to a set of principles laid out by Dalio about the company vision.

Continue reading “World’s largest hedge fund to replace managers with artificial intelligence” | >