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
Category: robotics/AI – Page 2,581
The world’s first demonstration of spintronics-based artificial intelligence
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.
Artificial intelligence to generate new cancer drugs on demand
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.
Robots That Read Minds Are a Breakthrough for Manufacturing
Definitely; why we been telling businesses the importance of BMI for their environments.
A site dedicated to the sciences, recent scientific discoveries and advances.
World’s largest hedge fund to replace managers with artificial intelligence
“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.
“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.”
The Goals of Extraterrestrial AI May “Conflict With Those of Biological Life”
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.
Electrical signaling in heart and nerve cells using graphene
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.
The White House’s Fix for Robots Stealing Jobs? Education
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.
AI could boost productivity but increase wealth inequality, White House says
Artificial intelligence (AI) technology has the potential to boost productivity but increase wealth inequality and wipe out millions of jobs, a research report by the White House claimed on Tuesday. With an increasing number of industries set to be affected by automation technology in the coming years, jobs could be displaced — a fear that has been voiced by academics and business leaders. Auto companies are developing driverless cars, and factories are seeing an increased use of robotics.
Because AI is not a single technology, but rather a collection of technologies that are applied to specific tasks, the effects of AI will be felt unevenly through the economy. Some tasks will be more easily automated than others, and some jobs will be affected more than others — both negatively and positively.
Researchers around the world have given varying estimates about the size of potential job losses. One recent estimate by Forrester suggests 6 percent of jobs in the next five years could be wiped out thanks to AI. The White House report cites a 2013 study from Oxford University suggesting that 47 percent of U.S. jobs are at risk because of AI. The report suggests that lower-skilled and less-educated workers could feel the heat the most. Overall, the White House report advocates a three-pronged approach to preparing for a future remade by AI that includes investing in AI for its benefits, training Americans for the jobs of the future and helping workers make the transition to new positions.