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Category: robotics/AI – Page 2,572

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.

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.

Flaunt Magazine

A column on #transhumanism I did for Flaunt:

Are you ready for the future? A Transhumanist future in which everyone around you—friends, family, and neighbors—has dipped into the cybernetic punch bowl? This is a future of contact lenses that see in the dark, endoskeleton artificial limbs that lift a half-ton, and brain chip implants that read your thoughts and instantly communicate them to others. Sound crazy? Indeed, it does. Nevertheless, it’s coming soon. Very soon. In fact, much of the technology already exists. It’s being sold commercially at your local superstore or being tested in laboratories right now around the world.

We’ve all heard about driverless test cars on the roads and how doctors in France are replacing people’s hearts with permanent robotic ones, but did you know there’s already a multi-billion dollar market for brainwave-reading headsets? Using electroencephalography (EEG) sensors that pick up and monitor brain activity, NeuroSky’s MindWave can attach to Google Glass and allow you to take a picture and post it to Facebook and Twitter just by thinking about it. Other headsets allow you to play video games on your iPhone with only your thoughts as well. In fact, a few months ago, the first mind-to-mind communication took place. A researcher in India projected a thought to a colleague in France, and using their headsets, they understood each other. Telepathy went from science fiction to reality, just like that.

The history of cybernetics—sometimes used to describe robotic implants, prosthetics, and cyborg-like enhancements in the human being and its experience—has come a long way since scientists began throwing around the term in the 1950s. What a difference a generation or two makes. Today a thriving pro-cyborg medical industry is setting the stage for trillion-dollar markets that will remake the human experience. Five million people in America suffer from Alzheimer’s, but a new surgery that involves installing brain implants is showing promise in restoring people’s memory and improving lives. The use of medical and microchip implants, whether in the brain or not, are expected to surge in the coming years. NBC News recently reported that many Americans will likely have chip implants within a decade’s time. It’s truly a new age for humans.

Standing proud at the forefront of all this change is the fascinating biohacker culture, where extreme inventors and innovators are leading the way by sticking RFID tracking chips in their bodies, permanent wireless headphones near their eardrums, and magnets in their fingers.

The Long-Term Jobs Killer Is Not China. It’s Automation

Even in the best case, automation leaves the first generation of workers it displaces in a lurch because they usually don’t have the skills to do new and more complex tasks, Mr. Acemoglu found in a paper published in May.

Robert Stilwell, 35, of Evansville, Ind., is one of them. He did not graduate from high school and worked in factories building parts for tools and cars, wrapping them up and loading them onto trucks. After he was laid off, he got a job as a convenience store cashier, which pays a lot less.

“I used to have a really good job, and I liked the people I worked with — until it got overtaken by a machine, and then I was let go,” he said.

Artificial intelligence is going to make it easier than ever to fake images and video

Smile Vector is a Twitter bot that can make any celebrity smile. It scrapes the web for pictures of faces, and then it morphs their expressions using a deep-learning-powered neural network. Its results aren’t perfect, but they’re created completely automatically, and it’s just a small hint of what’s to come as artificial intelligence opens a new world of image, audio, and video fakery. Imagine a version of Photoshop that can edit an image as easily as you can edit a Word document — will we ever trust our own eyes again?

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