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A new machine-learning system helps robots understand and perform certain social interactions.

Robots can deliver food on a college campus and hit a hole-in-one on the golf course, but even the most sophisticated robot can’t perform basic social interactions that are critical to everyday human life.

MIT.

Glass tables, glass desks, and even glass kitchen counters could one day be completely free of wires.

Last week, TechCrunch ran my TC-1 about Bowery Farming. What began as a piece about a heartily financed New York startup ballooned into an exploration about an emerging field with a rich and fascinating history. I sought to answer some big questions about the efficacy, profitability and sustainability of vertical farming. I would be lying if I told you that I emerged from the other side with satisfactory answers — no doubt all of the above will be clear over time.

I did, however, get the opportunity to talk to several fascinating folks with myriad views on all of the above. One of the folks I kept coming back to was Dickson Despommier — widely regarded as the godfather of vertical farming. It was in his Columbia University courses that many of the fundamental concepts around vertical farming were developed over a number of years.

A new machine-learning system helps robots understand and perform certain social interactions. Robots can deliver food on a college campus and hit a hole-in-one on the golf course, but even the most sophisticated robot can’t perform basic social interactions that are critical to everyday human life. MIT researchers have now incorporated certain social interactions into a framework for robotics, enabling machines to understand what it means to help or hinder one another, and to learn to perform these social behaviors on their own. In a simulated environment, a robot watches its companion, guesses what task it wants to accomplish, and then helps or hinders this other robot based on its own goals. The researchers also showed that their model creates realistic and predictable social interactions. When they showed videos of these simulated robots interacting with one another to humans, the human viewers mostly agreed with the model about what type of social behavior was occurring. Full Story:

Aside from upturning the economics of the automobile industry, Tesla has also begun innovation efforts in how we receive our day-to-day electrical power services.

Indeed, the day you begin to pay Tesla your electricity bills may soon come if they continue their success. Welcome dear, today we will talk about Tesla’s battery farm installations in Australia and how they changed the lives of many Australian citizens.

Tesla’s ‘battery farm’ in South Australia is officially known as the Hornsdale Power Reserve. Its construction history begins with the local southern Australian government searching for plausible plans for the improvement of their electrical power grid with a battery design in the region.

The issue facing the world today is not simply “THE supply chain,” the issue is that nearly every single link in the supply chain is compromised. Human talent is less available and manufacturers fear this will become a permanent reality, even after the pandemic. Extreme weather events occur every month and the ongoing pandemic is also causing shortages of direct and indirect materials. In turn, shipping costs have risen sharply. The status of sheet metal, computer chips and all food ingredients are up in the air. Constraints on the supply of raw materials, including those needed for semiconductors, PPE and various plastics, have led to factory shutdowns. A chronic lack of truck drivers has every neighborhood filled empty store shelves staring back at its citizens. And, to no surprise, Inflation was just reported at 5.4%, which is a 13 year high.

Now consider that only 4% of supply chain leaders believe their operations are future ready. We are at the precipice of either complete disaster, or a brave new world.

This initial iteration of the fast-food robot—or robotic kitchen assistant, as its creators called it—was so successful that a commercial version launched last year. Its maker Miso Robotics put Flippy on the market for $30,000, and the bot was no longer limited to just flipping burgers; the new and improved Flippy could cook 19 different foods, including chicken wings, onion rings, french fries, and the Impossible Burger. It got sleeker, too: rather than sitting on a wheeled cart, the new Flippy was a “robot on a rail,” with the rail located along the hood of restaurant stoves.

This week, Miso Robotics announced an even newer, more improved Flippy robot called Flippy 2 (hey, they’re consistent). Most of the updates and improvements on the new bot are based on feedback the company received from restaurant chain White Castle, the first big restaurant chain to go all-in on the original Flippy.

So how is Flippy 2 different? The new robot can do the work of an entire fry station without any human assistance, and can do more than double the number of food preparation tasks its older sibling could do, including filling, emptying, and returning fry baskets.

The Chinese economy has been hit by a perfect storm. In the third quarter of the ongoing financial year, official Chinese data revealed that GDP growth stood at 4.9 percent, down from 7.9 percent in the previous quarter. This decline in GDP growth is directly eating into profits of big Chinese companies.

Rising prices and low consumer spending create a perfect storm in the Chinese economy:

There are two broad factors that are affecting business earnings in China-raw material inflation and low consumer spending.

Flippy 2 is faster and more customizable than the original Flippy.