Germany Market Analysis Table 35: German Recent Past, Current & Future Analysis for Artificial Intelligence Analyzed with Annual Revenue Figures in US$ Million for Years 2015 through 2024 (includes corresponding Graph/Chart) 9.4.3 Italy Market Analysis Table 36: Italian Recent Past, Current & Future Analysis for Artificial Intelligence Analyzed with Annual Revenue Figures in US$ Million for Years 2015 through 2024 (includes corresponding Graph/Chart) 9.4.4
A prominent Chinese venture capitalist, Kai-Fu Lee, has been proselytizing for the advancement of artificial intelligence for some time. He is the chief executive of an influential investment firm called Sinovation Ventures based in Beijing that specializes in artificial intelligence, also known as AI, and as such he has an interest in promoting the idea that it will change our world. However, he may end up scaring us more than astonishing us. You see, Lee now claims that up to 40 percent of jobs will be "displaceable" because of AI within 15 to 25 years. This past weekend, Lee appeared on a well-known American news television show to discuss AI, whereupon he stunned the reporter with his claim.
Agriculture is undergoing a renaissance. IoT and artificial intelligence are enabling farmers to manage crops and livestock more reliably and efficiently. Autonomous farming equipment, livestock monitoring systems, and precision farming solutions are empowering farmers to feed our increasingly hungry and environmentally unstable world. As we begin 2019, it's exciting to reflect on all the Internet of Things--IoT--industry changes that occurred in 2018 and the trends that lay ahead in 2019. Many industries have been and will continue to be affected by the growth and maturation of IoT--school campuses will be safer, cars will be smarter, and homes will be sleeker and more intuitive, and businesses will deliver more value more efficiently.
I buckle my seatbelt, and then double check it, after I climb into the back of a white, black, and orange Toyota Prius V wagon. I'm tense, but the two engineers, one in back with me, the other riding shotgun, seem reassuringly relaxed. We roll forward, turning right out of the parking lot at the Hard Rock Hotel, and head into the streets of Las Vegas--with nobody in the driver's seat. Soon, the car is merging into traffic at 40 mph, the steering wheel spinning and the turn signals flicking on and off on their own. I've witnessed plenty of self-driving demonstrations, some of them here in Vegas, but never one without a human holding their hands over the controls, poised to brake, or swerve, if the computer struggles.
While self-driving vehicles are beta-tested on some public roads in real traffic situations, the semiconductor and automotive industries are still getting a grip on how to test and verify that vehicle electronics systems work as expected. Testing can be high stakes, especially when done in public. Some of the predictions about how humans will interact with autonomous vehicles (AVs) on public roads are already coming true, but human creativity is endless. There have been attacks on Waymo test vehicles in Arizona, a DUI arrest of a Tesla driver sleeping at 70mph on a freeway, and other Tesla hacks using oranges and aftermarket gadgets to trick Tesla's Autopilot into thinking the driver's hands are on the wheel. But are those unsafe human behaviors any more dangerous than the drum beat of technology hype, unrealistic marketing, and a lack of teeth in regulating testing of AVs on public roads, the factory and the design lab?
Would you ride in an autonomous vehicle if you knew that it was subject to visual problems? How about undergo cancer treatment based on a computer interpretation of radiological images such as an x-ray, ultrasound, CT, PET, or MRI scan knowing that computer vision could easily be fooled? Computer vision has a problem–it only takes slight changes in data input to fool machine learning algorithms into "seeing" things wrong. Recent advances in computer vision are largely due to the improved pattern-recognition capabilities through deep learning, a type of machine-based learning. Machine learning is a subset of artificial intelligence where a computer is able to learn concepts from processing input data either through supervised learning where the training data is labeled, or not as in unsupervised learning or a combination without explicit programming.
Judging by what we witnessed--and awarded--at CES this year, there's some incredible tech coming in 2019. From flying taxis to room-sized TV screens to robotic puppies, there's a lot to be excited about. But how many of these products will you really find in your home in 2019? Though everyone wants that robotic dog, these are the smart home products I can actually imagine using in real life (mostly). Not only will these assimilate well in an existing smart home--they'll do nicely even if you keep your abode a low-tech space.
I love a good road trip. I've spent hundreds of thousands of miles in cars during my life, and the best times were when I knew it would be hours or even days before I reached my destination. Typically a friend (or friends) or family members would accompany me, but on a few occasions, it was just me, my music collection -- and scenery screaming past me at 70 miles per hour. In the past few years, more and more automakers have created semiautonomous systems so that you're no longer "alone" on these drives. One of the more robust (and most famous) is Tesla's Autopilot.
A major security flaw with the hugely popular game Fortnite left millions of players exposed to hackers, according to new research. Cyber security firm Check Point discovered the vulnerability, which allowed people to steal the login credentials of Fortnite players without them even knowing about it. For the attack to be successful, all the victim would have to do is click on a link shared via a chatbox on Fortnite or through social media. Once clicked, the hacker could gain access to a player's username, password, V-bucks currency and any data stored on their account – without the victim even having to enter their login credentials. The head of the Check Point research team believes it is entirely possible that these flaws could have already been exploited by hackers, despite no reported instances of attackers making use of the exploit.
BMW will offer virtual test drives including some stretches where the car drives itself in virtual reality, in a version of its new concept car, the BMW Vision iNEXT electric vehicle, at the upcoming 2019 Consumer Electronics Show in Las Vegas, Jan. 8 to Jan. 11. Navigating the transition to autonomous cars is a tough assignment for the whole auto industry. But it's especially ticklish for the BMW brand, given its iconic identity is "The Ultimate Driving Machine." BMW describes the interior of the BMW Concept iNEXT as "Favorite Space."Photo: An earlier BMW ad campaign showed a BMW driver arriving at work in need of a cooldown, as if he had just finished a demanding and exhilarating workout, instead of a boring commute.