Lifeboat Foundation

A reinforcement learning algorithm allows Dactyl to learn physical tasks by practicing them in a virtual-reality environment.

“The eyes are the window of the soul.” Cicero said that. But it’s a bunch of baloney.

Unless you’re a state-of-the-art set of machine-learning algorithms with the ability to demonstrate links between eye movements and four of the big five personality traits.

If that’s the case, then Cicero was spot on.

Continue reading “Artificial intelligence can predict your personality” »

Closing in on molecular manufacturing…

http://xt-pl.com received an honorable mention from I-Zone judges for its innovative product that prints extremely fine film structures using nanomaterials. XTPL’s interdisciplinary team is developing and commercializing an innovative technology that enables ultra-precise printing of electrodes up to several hundred times thinner than a human hair – conducive lines as thin as 100 nm. XTPL is facilitating the production of a new generation of transparent conductive films (TCFs) that are widely used in manufacturing. XTPL’s solution has a potentially disruptive technology in the production of displays, monitors, touchscreens, printed electronics, wearable electronics, smart packaging, automotive, medical devices, photovoltaic cells, biosensors, and anti-counterfeiting. The technology is also applicable to the open-defect repair industry (the repair of broken metallic connections in thin film electronic circuits) and offers cost-effective, non-toxic, flexible industry-adapted solutions.

Continue reading “XTPL ultra-precise Nanometric Printer receives Honorable Mention at Display Week 2018 I-Zone” »

Algorithms achieve a machine theory of mind.

But the great potential of artificial intelligence shall become fully clear when considering its possible applications to drug discovery. It seems an era ago since the Human Genome Project was completed in 2003; since then, sequencing capabilities and softwares for data analysis rapidly established themselves as the new paradigm for drug discovery thanks to the increasing availability of IT technologies and the institutional and governmental support to big data analytics’ policies.

The exponential growth of the market

The annual growth rate of the market of artificial intelligence for healthcare applications has been recently estimated by Global Market Insights to be 40% CAGR (Compounded Average Growth Rate) per year up to 2024, starting from a value on $ 750 million in 2016.

Continue reading “How artificial intelligence is changing the pharmaceutical industry” »

For as long as she can remember, she’s puzzled over what’s out there. As a kid drifting off to sleep on a trampoline outside her family’s home near Portland, Ore., she would track the International Space Station. She remembers cobbling together a preteen version of the Drake Equation on those nights and realizing that the likelihood of intelligent alien life was something greater than zero. Star Trek marathons with her father catalyzed her cosmic thinking, as did her mother’s unexpected death when Bailey was 8. The house lost some of its order—some of its gravity—which led to more nights gazing skyward on the trampoline.

In college, Bailey got a hard-won paid internship at the now-merged aerospace giant Hamilton Sundstrand and joined a team repairing turbine engines. She hated it. “It was the opposite of pushing the envelope,” she says. “Nothing new ever went into that building. Nothing new ever left that building.”

By the time she set off to get a master’s degree in mechanical engineering at Duke University, the idea of logging 30 years at a place like Boeing Cor NASA had lost all appeal. She tried her hand at finance and later law, and was unlucky enough to excel at both. “I made it pretty far down that path, but then I thought, Wait, if I become a lawyer, then I’m a lawyer and that’s what I do,” she recalls. “What if I don’t want to do that on Tuesdays?”

Continue reading “Ion Engine Startup Wants to Change the Economics of Earth Orbit” »

https://arxiv.org/ftp/arxiv/papers/1807/1807.03440.pdf

Developing brain atlas using deep learning algorithms
https://techxplore.com/news/2018-07-brain-atlas-deep-algorithms.html

About the future death of explainability to understand AI thinking, the writing is on the wall…

These divergent approaches, one regulatory, the other deregulatory, follow the same pattern as antitrust enforcement, which faded in Washington and began flourishing in Brussels during the George W. Bush administration. But there is a convincing case that when it comes to overseeing the use and abuse of algorithms, neither the European nor the American approach has much to offer. Automated decision-making has revolutionized many sectors of the economy and it brings real gains to society. It also threatens privacy, autonomy, democratic practice, and ideals of social equality in ways we are only beginning to appreciate.

At the simplest level, an algorithm is a sequence of steps for solving a problem. The instructions for using a coffeemaker are an algorithm for converting inputs (grounds, filter, water) into an output (coffee). When people say they’re worried about the power of algorithms, however, they’re talking about the application of sophisticated, often opaque, software programs to enormous data sets. These programs employ advanced statistical methods and machine-learning techniques to pick out patterns and correlations, which they use to make predictions. The most advanced among them, including a subclass of machine-learning algorithms called “deep neural networks,” can infer complex, nonlinear relationships that they weren’t specifically programmed to find.

Continue reading “The Digital Poorhouse” »

Interesting article on the limited future of human paid employment for AI, some thoughts.

By Paul R. Daugherty and H. James Wilson

Superman versus Batman. Captain America versus Iron Man. Zuckerberg versus Musk?

Continue reading “What Are The New Jobs In A Human + Machine World?” »