Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 2,330

By Paula Klein

Is work becoming obsolete? Will Americans learn to love their leisure time? As the spotlight focuses on AI and its various implementations, former Harvard Professor Jeffrey Sachs, now at Columbia University and a special adviser to the United Nations, has some strong and diverse opinions about the macroeconomic impact of robots on the role of work in the future.

At a Mar. 24 seminar hosted by MIT IDE — the same day Treasury Secretary Steven Mnuchin amazed the tech community by saying AI wasn’t even on his radar — Sachs described AI developments as a “huge” with implications as vast as any previous seismic technology wave. “We are in the midst of a major transformation” that will fundamentally change civilization from the past, he said.

Read more

Your job isn’t safe. Nearly half of the jobs in America today may soon be done by robots.

Robots will begin delivering Domino’s pizza starting this summer. The small, six-wheeled devices go 4 miles per hour and will drop the pizzas off within a one-mile radius of its stores in the Netherlands and Germany.

It’s part of a the robotification of American jobs. Indeed, almost half of the jobs in America are at risk of being done by robots on computers in the next two decades, a study by researchers at Oxford University found.

Read more

Late for work? Imagine skipping the subway and instead heading to your local “vertiport,” where you can hop into an aircraft the size of an SUV that runs on electricity and works pretty much like an elevator.

Get in, punch in your destination, and off you go. Alone.

It may sound like an episode of “The Jetsons,” but electric air taxis are a form of transportation that is coming to Dubai in just a few months. And investors hope American cities aren’t much far behind.

Read more

Wednesday, March 1st Baltimore, MD — In March 2016 Insilico Medicine initiated a research collaboration with Life Extension to apply advanced bioinformatic methods and deep learning algorithms to screen for naturally occurring compounds that may slow down or even reverse the cellular and molecular mechanisms of aging. Today Life Extension (LE) launched a new line of nutraceuticals called GEROPROTECTTM, and the first product in the series called Ageless CellTM combines some of the natural compounds that were shortlisted by Insilico Medicine’s algorithms and are generally recognized as safe (GRAS).

The first research results on human biomarkers of aging and the product will be presented at the Re-Work Deep Learning in Healthcare Summit in London 28.02−01.03, 2017, one of the popular multidisciplinary conferences focusing on the emerging area of deep learning and machine intelligence.

“We salute Life Extension on the launch of GEROPROTECTTM: Ageless Cell, the first combination of nutraceuticals developed using our artificial intelligence algorithms. We share the common passion for extending human productive longevity and investing every quantum of our energy and resources to identify novel ways to prevent age-related decline and diseases. Partnering with Life Extension has multiple advantages. LE has spent the past 37 years educating consumers on the latest in nutritional therapies for optimal health and anti-aging and is an industry leader and a premium brand in the supplement industry. Also, LE also has a unique mail order blood test service that allows US customers to perform comprehensive blood tests to help identify potential health concerns and to track the effects of the nutraceutical products,” said Alex Zhavoronkov, PhD, CEO of Insilico Medicine, Inc.

Read more

In fact, when speaking with many AI experts across academia and industry, the consensus was unanimous: the development of AI cannot benefit only the few.

Income inequality is a well recognized problem. The gap between the rich and poor has grown over the last few decades, but it became increasingly pronounced after the 2008 financial crisis. While economists debate the extent to which technology plays a role in global inequality, most agree that tech advances have exacerbated the problem.

In an interview with the MIT Tech Review, economist Erik Brynjolfsson said, “My reading of the data is that technology is the main driver of the recent increases in inequality. It’s the biggest factor.”

Which begs the question: what happens as automation and AI technologies become more advanced and capable?

Read more

The end of the world as we know it is near. And that’s a good thing, according to many of the futurists who are predicting the imminent arrival of what’s been called the technological singularity.

The technological singularity is the idea that technological progress, particularly in artificial intelligence, will reach a tipping point to where machines are exponentially smarter than humans. It has been a hot topic of late.

Well-known futurist and Google engineer Ray Kurzweil (co-founder and chancellor of Singularity University) reiterated his bold prediction at Austin’s South by Southwest (SXSW) festival this month that machines will match human intelligence by 2029 (and has said previously the Singularity itself will occur by 2045). That’s two years before SoftBank CEO Masayoshi Son’s prediction of 2047, made at the Mobile World Congress (MWC) earlier this year.

Read more

Photo retouching and style matching (not to be confused with Prisma -like Instagram filters) is challenging work that requires a trained eye and hours of labor. At least, it was, until AI took that job, too. Researchers from Adobe and Cornell University have showed off an experimental app called “Deep Photo Style transfer” that can transform your image from drab to dramatic using someone else’s photo.

As shown above, using it is pretty simple — you just select a photo you want to change and one with the style you’re trying to emulate. The AI does the rest, applying the color, lighting and contrast of the example photo to the original. It can transform a lake photo snapped in the most boring light possible (above) into one that looks like it was taken at the golden hour on another planet. In another example it transforms a daylight city shot into a much more interesting nighttime scene.

The researchers built on the “Neural Style Transfer” work done by European researchers. They refined it so that the style transfer only happens to colors and doesn’t distort objects in the picture, like previous deep learning systems. In other words, it can pick out which part of the image is sky and which part is ground, so that the sky doesn’t “spill over” into the rest of the image, the team says.

Read more