Archive for the ‘robotics/AI’ category: Page 2148
Dec 26, 2016
Beyond Artificial Intelligence
Posted by Shane Hinshaw in categories: neuroscience, robotics/AI
Krish Gopalakrishnan, N. Dayasindhu — It is great, but AI cannot replicate human intelligence or improve quality of human life as computational neuroscience can„ magazine 26 December 2016, 35 years anniversary special, artificial intelligence, technology, information technology.
Dec 25, 2016
Jülich Installs New QPACE3 Supercomputer for Quantum Chromodynamics
Posted by Karen Hurst in categories: augmented reality, cosmology, particle physics, quantum physics, robotics/AI, supercomputing
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.
Dec 25, 2016
The Chatbot Will See You Now
Posted by Shane Hinshaw in categories: health, robotics/AI
Could artificial intelligence help address the mental-health crisis among Syrian refugees?
Dec 25, 2016
“AI Day” Will Never Replace Christmas
Posted by Zoltan Istvan in categories: geopolitics, robotics/AI, transhumanism
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:
Dec 24, 2016
Experts predict human-robot marriage will be legal by 2050
Posted by Shane Hinshaw in categories: law, robotics/AI, sex
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.
Continue reading “Experts predict human-robot marriage will be legal by 2050” »
Dec 24, 2016
This story was optimistic in its timeline of 25 years in 2014
Posted by Zoltan Istvan in categories: robotics/AI, transhumanism
Now I’d say it’s too conservative. AI Day could be here far sooner. Happy AI Day! http://www.huffingtonpost.com/zoltan-istvan/ai-day-will-repl…96550.html #transhumanism #AI
Dec 23, 2016
Seven robots you need to know
Posted by Klaus Baldauf in categories: cyborgs, robotics/AI
From soft exoskeletons to cloud-based, networked ‘brains’, these are the 7 robots pointing the way to the future #ftrobots
Dec 22, 2016
The world’s first demonstration of spintronics-based artificial intelligence
Posted by Karen Hurst in categories: particle physics, robotics/AI
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.
Continue reading “The world’s first demonstration of spintronics-based artificial intelligence” »
Dec 22, 2016
Artificial intelligence to generate new cancer drugs on demand
Posted by Karen Hurst in categories: biotech/medical, business, robotics/AI
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.