The robots continue to invade the fast food sphere

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A KFC in Moscow sends chicken along a conveyor belt to be delivered by a robotic arm.

The last dispatch from The Takeout’s robot beat was May 5. That’s six whole weeks during which the robots, unbothered by our human troubles, continued making advancements in their quest to replace the human race. As is so often the case, they have set their sights on a new way to optimize fast food, perhaps understanding that this is where they can exert the most influence over us.

Humans have generally understood for decades that the robots have been coming for our jobs, with a capacity for automation that renders many human workers obsolete—in theory, anyway. Recent estimates show that by 2030, a whopping 38% of American jobs will be eliminated in favor of automation. Now, with the entire world in the clutches of a pandemic, it’s possible that humans have begun to warm to the robots, which are not perceived to be as germ-covered as humans and can better facilitate social distancing measures (plus, you know, companies don’t have to pay them a living wage). With that in mind, KFC is currently testing “fast food of the future” in Moscow. Take a look:

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Robots will take 50 million jobs in the next decade. These are the skills you’ll need to stay employed

A new report finds that automation will take over a significant part of work activities in Europe by 2030.

 In the next 10 years, robots will take over 50 million jobs.

More than 90 million workers across Europe (about 40% of the total workforce) will have to develop significant new skills within their current roles in the next ten years, as automation puts 51 million jobs at risk, warns a new report from analyst firm McKinsey.

And almost all of today’s European workers will face some degree of change as their jobs evolve because of technology. But although the statistics seemingly feed into a common fear of robots taking over our jobs, quick conclusions needn’t be drawn: the research also shows that employment growth in other sectors will largely compensate for overall job loss.

So much, in fact, that Europe might find itself short of up to six million workers by 2030. As new opportunities emerge in fields like technology, for example, McKinsey anticipates that finding sufficient workers with the required skills to fill the jobs that are being created on the continent will be challenging.

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AI autonomous cars and the problem of where to drop off riders

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Having the AI self-driving car know where to drop off human passengers is a puzzling problem not high on the priority list of developers.

Determining where to best drop-off a passenger can be a problematic issue.

It seems relatively common and downright unnerving that oftentimes a ridesharing service or taxi unceremoniously opts to drop you off at a spot that is poorly chosen and raft with complications.

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Robot waiters serve drinks and take temperatures at this Dutch restaurant

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View of a serving robot at restaurant Dadawan on May 28, 2020 in Maastricht, Netherlands. Robots will serve food and drinks to the customers as well as to measure body temperature before customers enter the restaurant. Restaurants and cafes will re-open in The Netherlands on June 1st. as part of the Coronavirus lockdown ease.

Robots have been hired to greet customers, take their temperatures and serve them drinks at a restaurant in the Netherlands.

Dadawan, an Asian-fusion restaurant in Maastricht, reopened on 1 June as part of measures to ease lockdown restrictions in the Netherlands. And to help with social distancing, the restaurant has hired three robots named Amy, Aker and James. The humanoid robots have mechanical arms, torsos and LED-lit faces and take on some of the customer-facing tasks to reduce person-to-person contact.

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This wearable robotic arm can hold tools, pick fruit, and punch through walls

Doc Ock, is that you?

We’ve always had a soft spot for supernumerary robotic limbs here at The Verge, but this latest example of the genre is one of the most impressive we’ve seen to date. Designed by researchers at the Université de Sherbrooke in Canada, it’s a hydraulic arm that sits on the wearer’s hip and uses a three-fingered manipulator to carry out a range of tasks.

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Who will own the cars that drive themselves?

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Self-driving Uber vehicles in a lot in Pittsburgh. One vision of the future sees fleets of cars hailed as people need a lift and less private vehicle ownership.

 Fleets of vehicles roaming streets waiting to be hailed are more efficient. But the coronavirus has made people think twice about the future of car ownership even when autonomous tech arrives.

It was a difficult question even before the coronavirus pandemic hit: When self-driving cars eventually rule the roads, will Americans own their cars or make use of ride-hailing fleets?

The challenge is now threefold. Self-driving car technology had already reached a plateau, and getting to full Level 5 autonomy will be more difficult than many had thought. With the nation’s economy hobbled by the virus, investment is slowing. And to car owners, their private automobile is now a sanctuary, and it’s unclear how long that attitude will persist.

A CarGurus.com poll of 400 active car shoppers, conducted in May for this article, asked, “What is your overall opinion about the development of self-driving cars?” It showed 22 percent of customers were excited by the prospect. A survey of auto owners in 2019 showed 31 percent of them were excited for autonomous cars.

The question about the long-term future for the world’s cars is far from settled, and the experts (some of whom see disaster for the planet if people own autonomous cars as we own our cars now) differ sharply in their perception of where we’re heading.

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Pandemic alters carmakers’ driverless plans. Here’s how

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Detroit — The coronavirus pandemic is proving to be yet another obstacle for the self-driving and ride-sharing movement, delaying the widely touted arrival of next-generation automotive technology.

Ford Motor Co. is postponing for a year the commercial deployment of its autonomous vehicles. Waymo LLC, the self-driving unit of Google parent Alphabet Inc., had to temporarily suspend its on-road testing and its ride-hailing offerings in Arizona. Uber Advanced Technologies Group recently announced layoffs of 3,500, citing the pandemic. And General Motors Co. is shutting down Maven, the car-sharing service that debuted in 2016 as the wave of the future.

With demand for car-sharing and ride-sharing diminishing sharply in the age of social-distancing and other forms of vigilant hygiene, companies are shifting their focus to using driverless vehicles to deliver goods before they ferry people — a reversal of a robo-taxi future envisioned just a few years ago, courtesy of the virus that causes COVID-19.

Expensive electrification programs that have yet to create revenue for automakers, however, continue despite automakers losing billions with auto plants closed for eight weeks and many dealerships unable to sell vehicles with stay-at-home orders in place during the pandemic. Still, the prevailing industry consensus holds that electric vehicles must be an option for consumers, and electrified powertrains are the foundation of self-driving vehicles and future mobility technologies.

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Bryter raises $16M for a no-code platform for non-technical people to build enterprise automation apps

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Automation is the name of the game in enterprise IT at the moment: We now have a plethora of solutions on the market to speed up your workflow, simplify a process and perform more repetitive tasks without humans getting involved. Now, a startup that is helping non-technical people get more directly involved in how to make automation work better for their tasks is announcing some funding to seize the opportunity

Bryter — a no-code platform based in Berlin that lets workers in departments like accounting, legal, compliance and marketing who do not have any special technical or developer skills build tools like chatbots, trigger automated database and document actions and risk assessors — is today announcing that it has raised $16 million. This is a Series A round being co-led by Accel and Dawn Capital, with Notion Capital and Chalfen Ventures also participating.

The funding comes less than a year after Bryter raised a seed round — $6 million in November 2019 — and it was oversubscribed, with term sheets coming in from many of the bigger VCs in Europe and the U.S. With this funding, the company has now raised around $25 million, and while the valuation is considerably up on the last round, Bryter is not disclosing what it is.

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Hadrian X brick-laying robot ups the ante to 200 blocks an hour

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The Hadrian robot was created by Australian firm Fastbrick Robotics (FBR) and is named after the UK’s Hadrian Wall

Back in 2015 we looked at an interesting approach to automated construction in the form of a brick-laying robot, capable of putting together full-sized homes in just two days. The engineers behind the Hadrian X have continued making software improvements and have now announced a new record brick-laying speed, which they say makes the robot commercially competitive with manual workers around much of the world.

The Hadrian X robot was created by Australian firm Fastbrick Robotics (FBR) and is named after the UK’s Hadrian Wall. It features a telescopic boom that mounts to an excavator or truck, which is fed a 3D CAD model of a house and goes about placing bricks along with mortar and adhesive to build out the structure.

While the team has concept demonstrator robots designed to one day achieve laying rates of more than 1,000 bricks an hour, on the practical side things have been a little more slow-going. Software upgrades to the Hadrian X have seen it go from laying around 85 blocks an hour before the COVID-19 pandemic, to around 150 blocks an hour, and then onward to up over 200 blocks an hour.

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These drones will plant 40,000 trees in a month. By 2028, they’ll have planted 1 billion

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One of Flash Forest’s prototype drones.

We need to massively reforest the planet, in a very short period of time. Flash Forest’s drones can plant trees a lot faster than humans.

This week, on land north of Toronto that previously burned in a wildfire, drones are hovering over fields and firing seed pods into the ground, planting native pine and spruce trees to help restore habitat for birds. Flash Forest, the Canadian startup behind the project, plans to use its technology to plant 40,000 trees in the area this month. By the end of the year, as it expands to other regions, it will plant hundreds of thousands of trees. By 2028, the startup aims to have planted a full 1 billion trees.

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I’m prepared for a future where I never pay cash and rarely go to the store

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Since the coronavirus put New York under lockdown, I’ve completely changed my buying habits.

I haven’t swiped my credit card in at least a month, relying on online payments and Apple Pay with curbside pickup.

I actually prefer paying this way, and I don’t see myself paying with cash or card anytime soon, although I know this isn’t an option for everyone.

The coronavirus has changed just about every part of my daily life. The biggest change is that I now work remotely, and rarely leave my house. But when I do leave my house, it’s also changed my relationship to money. Namely, I almost never touch actual cold, hard cash anymore.

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How coronavirus set the stage for a techno-future with robots and AI

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The coronavirus pandemic has fast-forwarded the functions and roles of robots and artificial intelligence

Not so long ago, the concept of a fully automated store seemed something of a curiosity. Now, in the midst of the COVID-19 pandemic, the idea of relying on computers and robotics, and checking out groceries by simply picking them off the shelf doesn’t seem so peculiar after all.

Part of my research involves looking at how we deal with complex artificial intelligence (AI) systems that can learn and make decisions without any human involvement, and how these types of AI technologies challenge our current understanding of law and its application.

How should we govern these systems that are sometimes called disruptive, and at other times labelled transformative? I am particularly interested in whether — and how — AI technologies amplify the social injustice that exists in society. For example, unregulated facial recognition in the United States affects almost 120 million adults, with no independent testing for biased error rates; this effectively creates a virtual, perpetual line-up for law enforcement.

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