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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.

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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/bridgewater-associates-ai-artificial-intelligence-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.

“It’s ambitious, but it’s not unreasonable,” said Devin Fidler, research director at the Institute For The Future, who has built a prototype management system called iCEO. “A lot of management is basically information work, the sort of thing that software can get very good at.”

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In Brief

  • An expert on the intersection of science and philosophy posits that our current transition to “postbiological” life could have already been undertaken by extraterrestrial species.
  • She warns that these alien lifeforms could by artificially intelligent, in which case they could pose a tremendous threat to life on Earth.

Susan Schneider is a fellow at the Institute for Ethics and Emerging Technologies (IEET). She is also an associate professor of philosophy at the University of Connecticut, and her expertise includes the philosophy of cognitive science, particularly with regards to the plausibility of computational theories of mind and theoretical issues in artificial intelligence (AI).

In short, Schneider has a keen understanding of the intersection between science and philosophy. As such, she also has a unique perspective on AI, offering a fresh (but quite alarming) view on how artificial intelligence could forever alter humanity’s existence. In an article published by the IEET, she shares that perspective, talking about potential flaws in the way we view AI and suggesting a possible connection between AI and extraterrestrial life.

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Nice.


Scientists have enlisted the exotic properties of graphene, a one-atom-thick layer of carbon, to function like the film of an incredibly sensitive camera system in visually mapping tiny electric fields in a liquid. Researchers hope the new method will allow more extensive and precise imaging of the electrical signaling networks in our hearts and brains.

The ability to visually depict the strength and motion of very faint electrical fields could also aid in the development of so-called lab-on-a-chip devices that use very small quantities of fluids on a microchip-like platform to diagnose disease or aid in drug development, for example, or that automate a range of other biological and chemical analyses. The setup could potentially be adapted for sensing or trapping specific chemicals, too, and for studies of light-based electronics (a field known as optoelectronics).

“This was a completely new, innovative idea that graphene could be used as a material to sense electrical fields in a liquid,” said Jason Horng, a co-lead author of a study published Dec. 16 in Nature Communications that details the first demonstration of this graphene-based imaging system.

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UM NOVO RELATÓRIO da Casa Branca alerta que milhões de postos de trabalho podem ser automatizado e deixar de existir nos próximos anos.

O relatório, publicado esta semana pelo Conselho de Assessores Econômicos do presidente, se junta a um crescente corpo de trabalho prevendo enormes perdas de empregos devido à automação e inteligência artificial.

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