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Category: employment – Page 54

Ivanka Trump, a woman with a lifetime career guarantee and a net worth equalling the GDP of a small African country, has a plan for the millions of unemployed workers, many of whom lost their jobs during the pandemic: “Find Something New.” The initiative, in partnership with the nonprofit Ad Council, Tim Cook, and IBM executive chairman Ginni Rometty, sounds like the familiar Obama-era “learn to code” trope and not exactly on-brand with the Make American Great Again promise of told Ivanka to take her own advice.

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In the coronavirus economy, companies are adopting more automation, as they seek to cut costs and increase efficiency. There is debate about which jobs are most at risk and how soon. But climbing up the skills ladder is the best way to stay ahead of the automation wave.

Even groups that regularly disagree on labor issues said there should be significant public investment in programs that can upgrade the skills of American workers.

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The best way to prevent this is by focusing on the basics. America needs a major all-of-society push to increase the number of U.S. students being trained in both the fundamentals of math and in the more advanced, rigorous, and creative mathematics. Leadership in implementing this effort will have to come from the U.S. government and leading technology companies, and through the funding of ambitious programs. A few ideas come to mind: talent-spotting schemes, the establishment of math centers, and a modern successor to the post-Sputnik National Defense Education Act, which would provide math scholarships to promising students along with guaranteed employment in either public or private enterprises.

Forget about “AI” itself: it’s all about the math, and America is failing to train enough citizens in the right kinds of mathematics to remain dominant.

By Michael Auslin

THE WORLD first took notice of Beijing’s prowess in artificial intelligence (AI) in late 2017, when BBC reporter John Sudworth, hiding in a remote southwestern city, was located by China’s CCTV system in just seven minutes. At the time, it was a shocking demonstration of power. Today, companies like YITU Technology and Megvii, leaders in facial recognition technology, have compressed those seven minutes into mere seconds. What makes those companies so advanced, and what powers not only China’s surveillance state but also its broader economic development, is not simply its AI capability, but rather the math power underlying it.

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https://vimeo.com/234073915

Both are AI-enabled, allowing them to take in their surroundings and learn and evolve over time. They know what time to start cooking a well-done burger so that it’s done at exactly the same time as a medium-rare burger for the same order, or could learn how to optimize oil use to minimize waste, for instance.

In a pre-pandemic time of restaurant labor shortages, Flippy kept kitchen productivity high and costs low, a giant deal in an industry known for tiny margins. Introducing Flippy into a kitchen can increase profit margins by a whopping 300%, not to mention significantly reduce the stress managers feel when trying to fill shifts.

But even if restaurants have an easier time finding workers as places reopen, Flippy and ROAR aren’t gunning for people’s jobs. They’re designed to be collaborative robots, or cobots, the cost-effective machines created to work with humans, not against them.

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Construction is one of the oldest professions as people have been building shelters and structures for millennia. However the industry has evolved quite a bit in the way they design, plan, and build structures. For decades, technology has been used in the construction industry to make jobs more efficient and construction projects and structures safer.

In recent years, construction companies have increasingly started using AI in a range of ways to make construction more efficient and innovative. From optimizing work schedules to improving workplace safety to keeping a secure watch on construction facilities, https://www.cognilytica.com/2019/06/26/ai-today-podcast-95-a…struction/ href=https://www.cognilytica.com/2019/06/26/ai-today-podcast-95-ai-use-case-series-ai-in-construction/ rel=“nofollow noopener noreferrer” target=_blank title=https://www.cognilytica.com/2019/06/26/ai-today-podcast-95-ai-use-case-series-ai-in-construction/>AI in the construction industry is already proving its value.

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The European Union wants a massive dose of research spending to lift it out of what could be the worst recession in its history. Last week, as part of a €1.85 trillion budget and pandemic recovery proposal, the European Commission, the EU executive arm, unveiled plans to pump €94.4 billion into research over 7 years, nearly €11 billion more than originally planned for the program, called Horizon Europe. But not everyone thinks the money is the best medicine.

Horizon Europe gets €13.5 billion to spend fast, spur growth.

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Kitty Hawk is shutting down its Flyer program, the aviation startup’s inaugural moonshot to develop an ultralight electric flying car designed for anyone to use.

The company, backed by Google co-founder Larry Page and led by Sebastian Thrun, said it’s now focused on scaling up Heaviside, a sleeker, more capable (once secret) electric aircraft that is quiet, fast and can fly and land anywhere autonomously.

Kitty Hawk is laying off most of Flyer’s 70-person team, TechCrunch learned. A few employees will be brought over to work on Heaviside, according to the company. Those who are laid off will receive at least 20 weeks of pay, plus tenure, depending on how long they were with the company. Former workers will also receive their annual bonus and have their health insurance covered through the end of the year. The company said it will set up placement services to help people find employment.

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