Pandemic Wave of Automation May Be Bad News for Workers

“You can pull a less-skilled worker in and have them adapt to our system much easier,” said Ryan Hillis, a Meltwich vice president. “It certainly widens the scope of who you can have behind that grill.”

With more advanced kitchen equipment, software that allows online orders to flow directly to the restaurant and other technological advances, Meltwich needs only two to three workers on a shift, rather than three or four, Mr. Hillis said.

Such changes, multiplied across thousands of businesses in dozens of industries, could significantly change workers’ prospects. Professor Warman, the Canadian economist, said technologies developed for one purpose tend to spread to similar tasks, which could make it hard for workers harmed by automation to shift to another occupation or industry.

“If a whole sector of labor is hit, then where do those workers go?” Professor Warman said. Women, and to a lesser degree people of color, are likely to be disproportionately affected, he added.

The grocery business has long been a source of steady, often unionized jobs for people without a college degree. But technology is changing the sector. Self-checkout lanes have reduced the number of cashiers; many stores have simple robots to patrol aisles for spills and check inventory; and warehouses have become increasingly automated. Kroger in April opened a 375,000-square-foot warehouse with more than 1,000 robots that bag groceries for delivery customers. The company is even experimenting with delivering groceries by drone.

Other companies in the industry are doing the same. Jennifer Brogan, a spokeswoman for Stop & Shop, a grocery chain based in New England, said that technology allowed the company to better serve customers — and that it was a competitive necessity.

“Competitors and other players in the retail space are developing technologies and partnerships to reduce their costs and offer improved service and value for customers,” she said. “Stop & Shop needs to do the same.”

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The Robot Surgeon Will See You Now

Sitting on a stool several feet from a long-armed robot, Dr. Danyal Fer wrapped his fingers around two metal handles near his chest.

As he moved the handles — up and down, left and right — the robot mimicked each small motion with its own two arms. Then, when he pinched his thumb and forefinger together, one of the robot’s tiny claws did much the same. This is how surgeons like Dr. Fer have long used robots when operating on patients. They can remove a prostate from a patient while sitting at a computer console across the room.

But after this brief demonstration, Dr. Fer and his fellow researchers at the University of California, Berkeley, showed how they hope to advance the state of the art. Dr. Fer let go of the handles, and a new kind of computer software took over. As he and the other researchers looked on, the robot started to move entirely on its own.

With one claw, the machine lifted a tiny plastic ring from an equally tiny peg on the table, passed the ring from one claw to the other, moved it across the table and gingerly hooked it onto a new peg. Then the robot did the same with several more rings, completing the task as quickly as it had when guided by Dr. Fer.

how surgeons learn to operate robots like the one in Berkeley. Now, an automated robot performing the test can match or even exceed a human in dexterity, precision and speed, according to a new research paper from the Berkeley team.

The project is a part of a much wider effort to bring artificial intelligence into the operating room. Using many of the same technologies that underpin self-driving cars, autonomous drones and warehouse robots, researchers are working to automate surgical robots too. These methods are still a long way from everyday use, but progress is accelerating.

where there is room for improvement — by automating particular phases of surgery.

significantly improved the power of computer vision, which could allow robots to perform surgical tasks on their own, without such markers.

The change is driven by what are called neural networks, mathematical systems that can learn skills by analyzing vast amounts of data. By analyzing thousands of cat photos, for instance, a neural network can learn to recognize a cat. In much the same way, a neural network can learn from images captured by surgical robots.

inserting a needle for a cancer biopsy or burning into the brain to remove a tumor.

“It is like a car where the lane-following is autonomous but you still control the gas and the brake,” said Greg Fischer, one of the Worcester researchers.

Many obstacles lie ahead, scientists note. Moving plastic pegs is one thing; cutting, moving and suturing flesh is another. “What happens when the camera angle changes?” said Ann Majewicz Fey, an associate professor at the University of Texas, Austin. “What happens when smoke gets in the way?”

For the foreseeable future, automation will be something that works alongside surgeons rather than replaces them. But even that could have profound effects, Dr. Fer said. For instance, doctors could perform surgery across distances far greater than the width of the operating room — from miles or more away, perhaps, helping wounded soldiers on distant battlefields.

The signal lag is too great to make that possible currently. But if a robot could handle at least some of the tasks on its own, long-distance surgery could become viable, Dr. Fer said: “You could send a high-level plan and then the robot could carry it out.”

The same technology would be essential to remote surgery across even longer distances. “When we start operating on people on the moon,” he said, “surgeons will need entirely new tools.”

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Arrival Developing Electric Vehicles Without Assembly Line

“This is about getting the best, optimal delivery vehicle for us,” Mr. Wake said.

Globally, UPS operates a fleet of about 120,000 vehicles, and around 13,000 of them use alternatives to diesel engines such as batteries.

In addition to UPS, BlackRock and the South Korean automakers Hyundai and Kia have invested in Arrival.

Electric vehicle companies have attracted frenzied interest from investors, who hope to find the next Tesla, which is valued at more than $650 billion, more than G.M., Ford Motor, Toyota Motor and Volkswagen combined. Wall Street’s interest has encouraged a parade of fledgling companies — some, including Arrival, that are not yet selling vehicles, let alone making a profit — to list their shares on the stock exchange.

A few have already disappointed investors. The stock of Nikola, which is trying to develop heavy trucks powered by batteries and hydrogen fuel cells, plunged after a small investment firm, Hindenburg Research, said the company had exaggerated its technological abilities. Nikola denied wrongdoing but acknowledged in a February securities filing that some of what it had previously said about its vehicles and technology was inaccurate.

The Securities and Exchange Commission is investigating Nikola and another company, Lordstown Motors, which aims to make electric pickup trucks. Hindenburg also published a report about Lordstown, accusing it of exaggerating interest in its trucks and its production abilities. Lordstown denies Hindenburg’s claims.

Many E.V. start-ups have acquired stock listings by merging with special purpose acquisition companies, or SPACs — businesses set up with a pot of cash and a stock listing. Such mergers allow start-ups to join the stock market without the scrutiny of an initial public offering of stock.

Arrival completed its merger with a SPAC in March. But it remains a long way from turning its vision into a viable business. It has assembled a few prototype vans but has not yet begun testing them on public roads. The company’s shares started trading on March 25 at $22.40 but have since fallen to about $14.

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