The business of private survival shelters has grown during the pandemic. They’re not just for survivalists and doomsday preppers anymore. Bunkers buried in backyards or remote landscapes are capable of withstanding nuclear fallout and hurricanes, as well as violent conflict.
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A Norwegian company called Yara International claims to have created the world’s first zero-emission ship that can also transport cargo autonomously. The Yara Birkeland electric cargo ship was first conceptualized in2017but now looks to make its first voyage with no crew members onboard later this year in Norway.
Yara International is a Norwegian company that was founded in1905to combat the rising famine in Europe at the time. The company created the world’s first nitrogen fertilizer, which remains its largest business focus today.
In addition to its perpetual battle against hunger, Yara focuses on emissions abatement and sustainable agricultural practices. While the company wants to continue finding success in feeding the planet, it believes it can also do so sustainably.
From voice-controlled personal assistants to smart robots on factory floors, Artificial Intelligence is having a profound effect on our lives. No surprise then that countries all over the world are trying to stay ahead of the curve. But when it comes to investment, who’s putting their money where their mouth is? Looking at private funding, the United States leads the way — with well over 23 billion dollars going into the sector last year. Coming in second is China, with almost 10 billion dollars. That said, Chinese state investment is particularly significant. And the European Union falls far behind, with investment of just over 2 billion dollars. So why is the EU lagging? And does Germany — its largest economy — have any plans to play catch-up? An example of AI in action can be found at a Rolls Royce control room just outside Berlin. Robots destroy jobs and artificial intelligence will soon make us all superfluous. We’ve all seen headlines like that. But the reality of the situation looks a little different. Artificial intelligence is nothing more than a system that processes large amounts of data and makes predictions about the future based on that data. Engine manufacturer Rolls Royce has been a fan of AI for a long time. Even in emergencies, it keeps its cool. In the control room at Rolls Royce just south of Berlin, safety engineers monitor more than 9,000 airplane engines worldwide. Long before the owners of the commercial jets would even notice a defect, the systems here sound the alarm. Artificial intelligence at work. The systems are fed massive amounts of data. Then the owners of the aircraft are informed. The plane can then be taken in for maintenance long before the problem becomes expensive or life-threatening. In the adjacent building, engines are assembled. Many parts are custom-made, previously developed by the design engineers, who also use artificial intelligence. For example, how would it affect the engine if certain components are changed? AI helps to find the best method. The Center for Artificial Intelligence opened at the Dahlewitz site near Berlin in 2019. People here aren’t afraid that artificial intelligence will take their jobs. In fact, the mechanics will probably have to install even more sensors and cables in the future. After all, in about five years’ time, the plan is for the aircraft to fly here with hybrid drive systems — based on sustainable fuel and electricity.
Advancing the well-being of animals, people and the planet — aaron schacht — executive vice president, innovation, regulatory & business development, elanco.
Aaron Schacht is Executive Vice President: Innovation, Regulatory + Business Development at Elanco (https://www.elanco.com/), an American pharmaceutical company which produces medicines and vaccinations for pets and livestock, and which until 2,019 was a subsidiary of Eli Lilly and Company.
The effects of fracking on nearby water sources may be worse than previously thought, according to a new study that found hydraulic fracturing can alter the composition of surface water and not just groundwater.
The study, published Thursday in Science, is the first to link fracking to small increases in salt concentrations in surface water, particularly during the early stages of production. While the highest salt levels were well below what the Environmental Protection Agency (EPA) considers harmful, researchers identified a robust association between new wells and water quality changes, triggering public health concerns.
“Our work provides the first large-scale sample evidence showing that hydraulic fracturing is related to the quality of nearby surface waters for several U.S. shales,” Christian Leuz, co-author of the study and a professor at the University of Chicago’s Booth School of Business, said in a news release.
I will always remember the moments around our first sampling attempt. Longtime friend (and Sampling System Chief Engineer) Louise Jandura and I were in the operations area awaiting the next data downlink. It was “so far, so good” with our earlier morning results showing we had achieved a full-depth borehole. Other members of the team began to filter in as images of the sealed sample tube came up on the ops room monitors. We were all starting to get that feeling you can get in this business when a big milestone comes together because, at first look, it appeared to be our first cored sample. But within minutes, the team noted that the volume probe indicated no sample was in the tube, and we quickly switched to problem-solving mode – once again trying to solve another problem tossed our way from the surface of Mars.
Our team has been working hard over the last 12 days to both ensure we have adequately assessed the data from the first coring attempt and also developed a solid plan forward. After further review of the engineering and imaging data, our final conclusion is the same as our initial assessment: The rock simply wasn’t our kind of rock.
The Sampling and Caching System aboard the rover performed as expected – quite well, as a matter of fact. However, the rock we chose for this first effort did not. The act of coring into it resulted in the rock breaking apart into powder and small fragments of material, which were not retained in the tube due to their size. Although we had successfully acquired over 100 cores in a range of different test rocks on Earth, we had not encountered a rock in our test suite that behaved in quite this manner.
Watch developer Plus testing an autonomous truck on the highway without a driver behind the wheel.
Autonomous tech developer Plus has recently completed a real-world demonstration of its Level 4 autonomous truck technology on a traffic-filled highway. The company tested the truck without a driver behind the wheel, and also without any other remote operator who could take control of the truck if needed. The test took place on the Wufengshan highway in the business hub of the Yangtze Delta region, with Plus being the first company to be granted a special permit to test Level 4 vehicles in the country.
In other words, the mix of positives and negatives puts this potent new suite of technologies on a knife-edge. Do we have confidence that a handful of companies that have already lost public trust can take AI in the right direction? We should have ample reason for worry considering the business models driving their motivations. To advertising-driven companies like Google and Facebook, it’s clearly beneficial to elevate content that travels faster and draws more attention—and misinformation usually does —while micro-targeting that content by harvesting user data. Consumer product companies, such as Apple, will be motivated to prioritize AI applications that help differentiate and sell their most profitable products—hardly a way to maximize the beneficial impact of AI.
Yet another challenge is the prioritization of innovation resources. The shift online during the pandemic has led to outsized profits for these companies, and concentrated even more power in their hands. They can be expected to try to maintain that momentum by prioritizing those AI investments that are most aligned with their narrow commercial objectives while ignoring the myriad other possibilities. In addition, Big Tech operates in markets with economies of scale, so there is a tendency towards big bets that can waste tremendous resources. Who remembers IBM’s Watson initiative? It aspired to become the universal, go-to digital decision tool, especially in healthcare—and failed to live up to the hype, as did the trendy driverless car initiatives of Amazon and Google parent Alphabet. While failures, false starts, and pivots are a natural part of innovation, expensive big failures driven by a few enormously wealthy companies divert resources away from more diversified investments across a range of socially productive applications.
