Lifeboat Foundation

The Archinaut, a system made of 3D printers and robotic arms, could be the flying factory humans need to colonize space.

Insilico and its researchers are the first in the world to use GANs to generate molecules.

“The GAN technique is essentially an adversarial game between two deep neural networks,” as Alex explains.

While one generates meaningful noise in response to input, the other evaluates the generator’s output. Both networks thereby learn to generate increasingly perfect output.

Continue reading “How Artificial Intelligence Could Help Us Live Longer” »

American companies like Amazon and Netflix are already using artificial intelligence, says data scientist Michael Li, and ones that will not adapt will be left behind. What we need is to expand the discussion and possible regulation of this new technology that is transforming our lives.

The smallest Imperial Walker to ever attack the rebel alliance.

When it comes to matching simplicity with staggering creative potential, DNA may hold the prize. Built from an alphabet of just four nucleic acids, DNA provides the floorplan from which all earthly life is constructed.

But DNA’s remarkable versatility doesn’t end there. Researchers have managed to coax segments of DNA into performing a host of useful tricks. DNA sequences can form logical circuits for nanoelectronic applications. They have been used to perform sophisticated mathematical computations, like finding the optimal path between multiple cities. And DNA is the basis for a new breed of tiny robots and nanomachines. Measuring thousands of times smaller than a bacterium, such devices can carry out a multitude of tasks.

Continue reading “Built for speed: DNA nanomachines take a (rapid) step forward” »

Companies like Eli Lilly & Co. and GlaxoSmithKline PLC are investing in automation with the hope of transforming drug discovery from an enterprise where humans do manual experiments to one where robots handle thousands of samples around the clock. This automation will be key to developing better therapies more efficiently, drug companies say, as research and development becomes more labor intensive amid the push toward more-tailored…

The danger, some experts warn, is that A.I. will run into a technical wall and eventually face a popular backlash — a familiar pattern in artificial intelligence since that term was coined in the 1950s. With deep learning in particular, researchers said, the concerns are being fueled by the technology’s limits.

A branch of A.I. called deep learning has transformed computer performance in tasks like vision and speech. But meaning, reasoning and common sense remain elusive.

The exponential potential of longevity technologies.

Jim Mellon became a billionaire by pouncing on a wide variety of opportunities, from the dawn of business privatization in Russia to uranium mining in Africa and real estate in Germany. But all of that might eventually look small, he says, compared to the money to be made in the next decade or so from biotechnologies that will increase human longevity well past 100.

The British investor is so enthusiastic about these technologies that he co-authored a 2017 book about them, Juvenescence: Investing in the Age of Longevity, and launched a company, Juvenescence Ltd., to capitalize on them. “Juvenescence” is a real word — it’s the state of being youthful. Says Mellon, who is 61: “I’m hoping that this stuff works on me as well as on my portfolio.”

Continue reading “Longevity, the Greatest Investment Opportunity of All Time” »

At least in the developed world, cancer, heart diseases, and neurodegenerative diseases are among the greatest causes of mortality. One emerging and very promising way to prevent or cure these diseases is through bio-nanotechnology.

Nanotechnology is the design, synthesis and application of materials or devices that are on the nanometer scale (one billionth of a meter). Due to the small scale of these devices, they can have many beneficial applications, both in industry and medicine. The use of nanodevices in medicine is called nanomedicine. Here, we will look at some applications of nanomedicine in curing or preventing the diseases that are most likely to kill us.

• There has been a 14X increase in the number of active AI startups since 2000. Crunchbase, VentureSource, and Sand Hill Econometrics were also used for completing this analysis with AI startups in Crunchbase cross-referenced to venture-backed companies in the VentureSource database. Any venture-backed companies from the Crunchbase list that were identified in the VentureSource database were included.

• The share of jobs requiring AI skills has grown 4.5X since 2013., The growth of the share of US jobs requiring AI skills on the Indeed.com platform was calculated by first identifying AI-related jobs using titles and keywords in descriptions. Job growth is a calculated as a multiple of the share of jobs on the Indeed platform that required AI skills in the U.S. starting in January 2013. The study also calculated the growth of the share of jobs requiring AI skills on the Indeed.com platform, by country. Despite the rapid growth of the Canada and UK. AI job markets, Indeed.com reports they are respectively still 5% and 27% of the absolute size of the US AI job market.

• Machine Learning, Deep Learning and Natural Language Processing (NLP) are the three most in-demand skills on Monster.com. Just two years ago NLP had been predicted to be the most in-demand skill for application developers creating new AI apps. In addition to skills creating AI apps, machine learning techniques, Python, Java, C++, experience with open source development environments, Spark, MATLAB, and Hadoop are the most in-demand skills. Based on an analysis of Monster.com entries as of today, the median salary is $127,000 in the U.S. for Data Scientists, Senior Data Scientists, Artificial Intelligence Consultants and Machine Learning Managers.

Continue reading “10 Charts That Will Change Your Perspective On Artificial Intelligence’s Growth” »