Lifeboat Foundation

New developments require new materials. Until recently, these have been developed mostly by tedious experiments in the laboratory. Researchers at the Fraunhofer Institute for Algorithms and Scientific Computing SCAI in Sankt Augustin are now significantly shortening this time-consuming and cost-intensive process with their “Virtual Material Design” approach and the specially developed Tremolo-X software. By combining multi-scale models, data analysis and machine learning, it is possible to develop improved materials much more quickly. At the Hanover Trade Fair from April 23 to 27, 2018, Fraunhofer will be demonstrating how the virtual material design of the future looks.

In almost every industry, new materials are needed for new developments. Let’s take the automotive industry: while an automobile used to consist of just a handful of materials, modern cars are assembled from thousands of different materials – and demand is increasing. Whether it’s making a car lighter, getting better fuel economy or developing electric motor batteries, every new development requires finding or developing the material that has exactly the right properties. The search for the right material has often been like a guessing game, though. The candidates have usually been selected from huge material databases and then tested. Although these databases provide insight into specific performance characteristics, they usually do not go far enough into depth to allow meaningful judgments about whether a material has exactly the desired properties. To find that out, numerous laboratory tests have to be performed.

Three years in, what I find most incredible about e-Residency is that it actually works.

Estonia’s quest to become a “digital nation”

To better understand how e-Residency came about, let’s go back almost 30 years, to 1991. Estonia had just won independence from the Soviet Union and was in the early stages of building a market-oriented economy from scratch. At the time, leaders were quick to identify the potential of the internet and open source collaboration tools (interestingly this was less out of principle, and more for the simple reason that they had no money to pay for Microsoft Office). They decided to become the world’s premier “digital nation.” A favorite quote I’ve heard in Estonia: “What do you think of when you hear the word Slovenia? Nothing. Precisely! We don’t want to be Slovenia.”

Continue reading “One of Estonia’s first ‘e-residents’ explains what it means to have digital citizenship” »

https://player.fm/series/hispanic-marketing-and-public-relations/hmpr-ira-pastor

I was on a panel at a recent conference when the moderator asked audience and panel members what they thought of UBI. The overwhelming consensus of the 500 or so people in the room appeared to be “we’re skeptical, but should experiment.” UBI sounds like a good or not-so-good idea to different constituents because we have so little understanding of either how we would do it, or how people would react. None of us really knows what we’re talking about when it comes to UBI, akin to being in a drunken bar argument before there were smartphones and Wikipedia. But there are a few basic principles and pieces of research that can help.

Liberals and conservatives alike love—and fear—the idea of giving free money to everyone. But we have to try it anyway.

Author: Joi Ito BY Joi Ito

My 17-min speech at the World Fair Nano is out. Give it a listen to learn all about my Federal Land Dividend, a #basicincome which doesn’t raise taxes and will actually shrink government while eliminating all poverty. This is a major policy of my #libertarian governor run and has possibility for bipartisan support.

Learn more about Zoltan’s work at http://www.zoltanistvan.com/

Continue reading “The Future of Universal Basic Income” »

The march of AI into the workplace calls for trade-offs between privacy and performance. A fairer, more productive workforce is a prize worth having, but not if it shackles and dehumanises employees. Striking a balance will require thought, a willingness for both employers and employees to adapt, and a strong dose of humanity.

ARTIFICIAL intelligence (AI) is barging its way into business. As our special report this week explains, firms of all types are harnessing AI to forecast demand, hire workers and deal with customers. In 2017 companies spent around $22bn on AI-related mergers and acquisitions, about 26 times more than in 2015. The McKinsey Global Institute, a think-tank within a consultancy, reckons that just applying AI to marketing, sales and supply chains could create economic value, including profits and efficiencies, of $2.7trn over the next 20 years. Google’s boss has gone so far as to declare that AI will do more for humanity than fire or electricity.

Such grandiose forecasts kindle anxiety as well as hope. Many fret that AI could destroy jobs faster than it creates them. Barriers to entry from owning and generating data could lead to a handful of dominant firms in every industry.

Continue reading “The workplace of the future” »

Kogan developed Kosinksi’s ideas, improved them, and cut a deal with Cambridge Analytica. Armed with this bounty – and combined with additional data gleaned from elsewhere – Cambridge Analytica built personality profiles for more than 100m registered US voters. It’s claimed the company then used these profiles for targeted advertising.

Imagine for example that you could identify a segment of voters that is high in conscientiousness and neuroticism, and another segment that is high in extroversion but low in openness. Clearly, people in each segment would respond differently to the same political ad. But on Facebook they do not need to see the same ad at all – each will see an individually tailored ad designed to elicit the desired response, whether that is voting for a candidate, not voting for a candidate, or donating funds.

Cambridge Analytica worked hard to develop dozens of ad variations on different political themes such as immigration, the economy and gun rights, all tailored to different personality profiles. There is no evidence at all that Clinton’s election machine had the same ability.

India’s artificial intelligence journey could get a big boost this year.

The National Institution for Transforming India (NITI) Aayog is reportedly going to release a first-ever national policy on AI directly rivalling whatever’s going on in China on the subject. The policy will chalk out the scope of AI via research and how the technology will be adopted in the years to come.

According to an Economic Times report, NITI Aayog will form the policy with short, medium and long term goals in mind, spread up to 2030.

Continue reading “Niti Aayog Chalking Out Much Needed Policy on AI for India” »

Innovation is the latest social, political and economic battleground. Techno-optimists dismiss fears about innovation, typecasting non-believers as Luddites. The impact of recent technological changes, they believe, will be realised over time. Luddites, on the other hand, point to weaknesses in technology.

Policymakers are placing their faith on technological advancements to boost flagging growth. But it is founded more on hope than reality.

By Satyajit Das

Continue reading “The politics of innovation” »