Since about 2012 there's been a massive influx of VC funding that has been poured into startups to revolutionise logistics and supply chains. And, it's not just startups that are getting in the mix, it's established global players like Amazon, Walmart, IBM, Alibaba, DHL, UPS, Merck, WiseTech Global, XPO Logistics and many more that are driving new technologies forward. Supply chains are going to change dramatically over the next few decades and that change is going to be accelerated by the convergence of new technology and evolving consumer behaviour which is going to require unprecedented levels of agility and flexibility in supply chains. Consumer behavior has changed dramatically over the last ten years due in large part to Amazon and the Smartphone. Quite simply, eCommerce has made it easier and faster to get stuff.
You likely have heard how artificial intelligence is changing the world, from smart phones that keep getting smarter to all the experimenting with driverless vehicles. The rapidly improving technology has also begun replacing workers, especially anyone who performs routine tasks. By some accounts, artificial intelligence could impact half the jobs in the country over the next 25 years. Don--t think of it as a new tool like the cotton gin or the personal computer, so much as a massively disruptive transformation. It--s being called the next industrial revolution.
The National Highway Traffic Safety Administration, the arm of the Department of Transportation charged with reducing the number of Americans killed on the road, yesterday released the results of the crash test for the Tesla Model 3: five stars in every category. The perfect score is a welcome ray of sunshine during a (tweet)stormy stretch for Tesla--just yesterday, Bloomberg reported the automaker's supply chain manager has left the company. Without an engine to work around, Tesla's engineers can essentially make the whole front of the car a crumple zone, and having the heavy battery just inches off the ground limits the risk of rollovers. Tesla's cars have always shown themselves to be super safe. A few years ago, the Model S proved so strong, the testing equipment broke before it did.
Studying philosophy may be about to pay off. Unlike the more utilitarian subjects like law or engineering, the conceptual world of Kant, Mills or even Nietzsche hasn't provided a route to riches for many to date. That may be about to change in the converging world of artificial intelligence, big data and biotech. For decades philosophy students have grappled with theories like the trolley problem – where a runaway trolley car may hit and kill two children or, with intervention from the person on board, its occupant. The advent of autonomous vehicles means this philosophical dilemma is front and centre for programmers.
The rise of IoT has coincided with a huge amount of fear around the impact this technology will have on jobs. Arguably, the profession most in the spotlight has been drivers, as the march of autonomous vehicle technology creates an obvious challenge to the driving profession. It's a concern that need not worry those in the driving profession, at least according to a recent report commissioned by the American Center for Mobility, led by Michigan State University, and supported by the Texas A&M Transportation Institute. The report suggests that even when autonomous vehicles are a widespread presence on our roads, it will only result in a modest number of trucking jobs being impacted. The authors of this report believe that the technology will be deployed in the latter half of the 2020s, at which point some in the passenger business (taxi drivers etc.) could be affected, but they suggest that the shortage of truck drivers in the industry already, coupled with the belief that the new technology will support rather than replace drivers, lends them to believe the B2B sector won't be impacted as much.
The company's scenario involves fully automated container ships travelling between ports, with minimal personnel requirements and moving all round the clock, monitored from start-to-finish by a control centre. A vessel will slow down when it's approaching its destination and docks itself at the pier. A container loader, equipped with autonomous and electric technology, will automatically unloads the container onto another autonomous vehicle. Volvo Group goes onto demonstrate how the cargo leaves the port through an automatic, secure gate. The autonomous vehicles then form an autonomous connected driving convoy.
Self-driving cars must have a temporary number plate before they begin tests on designated roads, Xinhua said, quoting a notice released by Beijing's Municipal Commission of Transport. China's capital city has designated 11 more roads for self-driving vehicle testing, state news agency Xinhua said on Wednesday, to try to speed up the technology's development. The 11 roads are in Beijing's Fangshan District, Xinhua reported. Self-driving cars must have a temporary number plate before they begin tests on designated roads, Xinhua said, quoting a notice released by Beijing's Municipal Commission of Transport. They also have to complete 5,000 kilometers of driving in designated closed test fields and pass certain ability assessments.
And now she'll tell you if she doesn't like what she'll hear. Amazon has announced that its Echo speakers will now be able to go on guard in your house when you're not there, keep an ear out for anything untoward. If the microphones in the smart speakers hear the sound of smashing glass or a smoke detector going off, for instance, they'll record that sound and send it to its owner. All of that is done using the same kinds of artificial intelligence that power the voice tools and other smarts of the Echo. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.
INRIX chose its criteria based on a future business model where an autonomous truck powered by electric batteries or diesel-hybrid motors would cross long highway miles and then be taken over by people who would pilot the rigs through crowded cities to the final loading dock or port, said Avery Ash, INRIX's autonomous vehicle director.
According to the report, global GDP could be up to 14 percent higher in 2030 as a result of AI. This is the equivalent of an additional USD 15.7 trillion – making it the biggest commercial opportunity in today's fast changing economy. Of this, USD 6.6 trillion is likely to come from increased productivity and USD 9.1 trillion from consumption side effects, the report shows. Accordingly, growth will be driven by three factors: productivity gains from businesses automating processes (including use of robots and autonomous vehicles); productivity gains from businesses augmenting their existing labour force with AI technologies (assisted and augmented intelligence) and increased consumer demand resulting from the availability of personalised and/or higher-quality AI-enhanced products and services. Over the past decade, almost all aspects of how we work and how we live – from retail to manufacturing to healthcare – have become increasingly digitised, the report notes.