Technology

In 2013, Volvo announced a potentially revolutionary approach to designing electric vehicles (EVs). It wanted to replace some of the steel body panels in its cars with carbon fiber composite materials that can store power like a battery.

The rechargeable panels would be composed of multiple layers of carbon fiber, which are insulated from each other by fiberglass inserts. The result is a structural component that can be charged like the battery.

Though this new design would reduce weight problems associated with rechargeable car batteries, it was not without its problems. In the event that the car crashes, emergency crews would essentially be trying to fish someone out of a giant damaged battery. The cost of carbon fiber was also quite high. Due to these issues, Volvo decided not to mass produce its new cars.

Not every successful product is “the best” product in its category.

The point of Ikea or Toyota isn’t to be the greatest, most high-end offering in the realm of houseware or cars, the point is to meet a practical consumer need at an attractive price. There are Ferraris and Porsches in the marketplace, too, but making “the best” car isn’t necessarily a more successful business strategy than making a good enough car at a reasonable price.

But the iPhone is different. From the day it was first introduced, it was positioned in the market as the best phone in the world. But it’s also become the best-selling phone in the world. And like any marquee smartphone, it needs to be updated and upgraded every year.

Major Japanese agricultural machinery makers are developing self-driving tractors. The government plans to support the introduction of these  tractors amid growing hopes that such machines will help farmers cope with labor shortages at a time when many are aging and face difficulties finding successors.

In June 2017, Kubota Corp. started selling the country’s first tractors with autonomous driving functions on a trial basis. Utilizing the Global Positioning System (GPS), the tractors can keep tabs on where they are operating.

As the machines still need to be monitored, Kubota assumes that farmers will operate two tractors at a time, one with a driver and the other unmanned. Having two tractors operate simultaneously in this way on farmland with an area of 3,000-5,000 sq. meters would reduce the work time by around 30 percent, according to Satoshi Iida, a senior managing executive officer of Kubota.

"[UK tech startup] Improbable is building breakthrough technologies that are becoming vital and valuable platforms for the global gaming industry," Deep Nishar, managing director of investments at SoftBank, said in a statement. Beyond gaming, Nishar said, SoftBank believed Improbable’s simulation technology could be used to help explore disease, improve cities, understand economies and solve other complex problems. Nishar is joining Improbable’s board.

The falling cost of industrial robots will allow manufacturers to use them to replace more factory workers over the next decade while lowering labor costs, according to new research.

Robots now perform roughly 10 percent of manufacturing tasks that can be done by machines, according to the Boston Consulting Group. The management consulting firm projected that to rise to about 25 percent of such "automatable" tasks by 2025.

In turn, labor costs stand to drop by 16 percent on average globally over that time, according to the research.

The shift will mean an increasing demand for skilled workers who can operate the machines, said Hal Sirkin, a senior partner at Boston Consulting.

Factory workers "will be higher paid but there will be fewer of them," Sirkin said.

Algorithms can learn to collude. 

Two law professors, Ariel Ezrachi of Oxford and Maurice E. Stucke of the University of Tennessee, have a working paper on how when computers get involved in pricing for goods and services (say, at Amazon or Uber), the potential for collusion is even greater than when humans are making the prices. 

Computers can't have a back-room conversation to fix prices, but they can predict the way that other computers are going to behave. And with that information, they can effectively cooperate with each other in advancing their own profit-maximizing interests.

Sometimes, a computer is just a tool used to help humans collude, which theoretically can be prosecuted. But sometimes, the authors find, the computer learns to collude on its own. Can a machine be prosecuted?