Walmart has transformed an ordinary grocery store into a 50,000-square-foot AI lab that tests new retail technologies in a real-world setting. The Intelligent Retail Lab is located in Levittown, New York, and is equipped with AI-powered sensors that keep track of the inventory and the freshness of the produce.
Posted in employment, food, robotics/AI, sustainability
In the kale-filled facility at vertical farm startup Bowery Farming, it’s a piece of proprietary software that makes most of the critical decisions — like when to harvest and how much to water each plant. But it still takes humans to carry out many tasks around the farm. Katie Morich, 25, loves the work. But as roboticists make gains, will her employer need her forever? This is the fourth episode of Next Jobs, a series about careers of the future hosted by Bloomberg Technology’s Aki Ito.
Host, Producer: Aki Ito
Camera: Alan Jeffries, Brian Schildhorn
Co-Producer: David Nicholson
Editor: Victoria Daniell
Writers: Aki Ito and Victoria Daniell.
Iris Automation recently flew a drone over Kansas without ground-based radar or a visual observer, the first time the FAA has authorized what is known as a “beyond-visual-line-of-sight” drone flight with only an automated onboard collision-avoidance system monitoring.
Posted in business, robotics/AI
Ocado, a British online-grocery company, is using air-traffic-control systems and AI technology to co-ordinate 700 factory robots. Its use of technology has made it a challenger to Amazon’s grocery-delivery business https://econ.st/2oTjzAG
The U.S. military is preparing for the age of AI and algorithmic warfare, and it’s getting help from tech giants like Facebook, Google, and Microsoft.
Albert Einstein’s famous expression “spooky action at a distance” refers to quantum entanglement, a phenomenon seen on the most micro of scales. But machine learning seems to grow more mysterious and powerful every day, and scientists don’t always understand how it works. The spookiest action yet is a new study of heart patients where a machine-learning algorithm decided who was most likely to die within a year based on echocardiogram (ECG) results, reported by New Scientist. The algorithm performed better than the traditional measures used by cardiologists. The study was done by researchers in Pennsylvania’s Geisinger regional healthcare group, a low-cost and not-for-profit provider.
Disruption of the job market and the economy from automation and the rise of artificial intelligence (AI) is one of the primary ideas animating Andrew Yang’s surprising campaign for the Democratic presidential nomination. Alone among the candidates, Yang is directly engaging with one of the central forces that will shape our futures.
A recent report from the consulting firm Deloitte found that, among more than a thousand surveyed American executives, 63 percent agreed with the statement that “to cut costs, my company wants to automate as many jobs as possible using AI,” and 36 percent already believe that job losses from AI-enabled automation should be viewed as an ethical issue. In other words, while media pundits dismiss worries about automation, executives at America’s largest companies are actively planning for it.
It may seem odd to worry about AI and automation at a time when the headline unemployment rate is below 4 percent. But it is important to remember that this metric only captures people who are actively seeking work. Consider that, in 1965, only 3 percent of American men between the ages of 25 and 54 — old enough to have completed education but too young to retire — were neither working nor actively looking for employment. Today, that number is about 11 percent.
In other words, the percentage of working-age men completely disenfranchised from employment markets has nearly tripled. The economist and former Treasury secretary Laurence Summers has estimated that, by 2050, that number could more than double again to a quarter or even a third.
Let’s develop a public research consortium to take on useful projects that have no commercial prospects.
OpenAI’s text generator, machine learning-powered—so powerful that it was thought too dangerous to release to the public, has, guess what, been released.
OpenAI published a blog post announcing its decision to release the algorithm in full as it has “seen no strong evidence of misuse so far.”
Well, that was a turnaround.
