If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Two movies presented their visions of flying cars, Ridley Scott's "Blade Runner" and Luc Besson's "The Fifth Element". In the 1980's and 90's such type of vehicles looked as pure science fiction, but today's drone technology make them perceived as achievable. The difference between a helicopter and...
Data has evolved to become the lifeblood of every organization and analytics has grown and expanded enough that almost every organization today, recognizes the business value that analytics offers.Significantly improvedcomputational power, combined with low-cost storage and increasingly sophisticated algorithms mean that the next two-three years could possibly usher in the most exciting phase for analytics. Let's take a look at some of the trends that could dominate the near future. For the last couple of years, the trendwas to label everything that does something remotely clever or unexpected as Artificial Intelligence. While AI is certainly worthy of attention,2018 promises to be the year that separates the reality from the hype.Analytically mature organizations have already embarked on small scale experiments to embed greater smartness in their systems in areas of Chat Bots, Fraud detection, and so on. Those who have applied AI in a practical and clearly defined manner will see success.
DRIVERLESS cars are due to appear on UK roads by 2021, with the promise of making our motorways safer and more efficient. Experts have claimed the introduction of self-driving motors will reduce road deaths by removing human error from the equation. But as manufacturers ramp up testing in the race to become the first to generate a fool-proof autonomous car, instances of the technology going wrong are starting to raise eyebrows about its safety. Back in 2016, Tesla CEO Elon Musk famously stated "the probability of having an accident is 50 per cent lower" using the manufacturer's Autopilot feature compared to full human control, but recent incidents have seen the technology come under fire. Following a collision with a Tesla Model S electric car and a fire engine in California on Monday, the driver allegedly told investigators he was using Autopilot at the time.
Research recently conducted for The Times has presented a fairly negative snapshot of the public's perception of autonomous vehicle technology. In it, almost two thirds of motorists said they would not buy a driverless car, suggesting that people don't trust driverless technology… yet. Clearly, those involved in the burgeoning industry face an enormous challenge in reassuring those unnerved by the idea of not being in control. Failure to do so will see driverless vehicles join the scrap heap of failed transport modernisation projects. Safety is naturally top of the list when it comes to the prospect of driverless vehicles.
The legal and regulatory framework needs updating to meet the demands of autonomous vehicles, according to David Powell, head of non-marine underwriting at Lloyd's Market Association. At a lecture at Lloyd's of London on 11 January, Powell highlighted that significant changes to the insurance industry are imminent. "The government is keen to embrace incoming technology and it doesn't want anything, including insurance issues, to get in the way of this," Powell stated. This was made evident when the Chancellor of the Exchequer Philip Hammond delivered his Budget statement in Parliament on 22 November last year. At the time Hammond said there were "good reasons to pursue this technology" and that the government would step up its support and investment.
After more than a century making vehicles for humans to drive, General Motors has ripped the heart out of its latest ride, and is now holding the grisly spectacle up for all the world to see: A car with no steering wheel. And it plans to put a fleet of these newfangled things to work in a taxi-like service, somewhere in the US, next year. And no, this robo-chariot, a modified all-electric Chevrolet Bolt, doesn't have pedals either. This is GM's truly driverless debut, a car that will have to handle the world on its own. No matter what happens, you, dear human passenger, cannot help it now.
Businesses of the future will be defined by technologies such as the Internet of Things, supercomputing, virtual reality, robotics and artificial intelligence. They form a critical part of so-called "Industry 4.0" and the rise of automation and big data in a wide variety of sectors. Technological revolutions come and go. The first industrial era dawned in the 1700s when sophisticated mechanical systems emerged. Then came electricity and the rise of computers.
Driverless cars are the future, but we're not certain how far in the future before these vehicles become mainstream. Some experts are saying this won't happen until the next 40 years, but another expert isn't in agreement with such statements. Before driverless vehicles can go mainstream, there are quite a lot of hurdles to overcome in the legal and infrastructure department. It's possible public streets will require vast changes to accommodate cars that drive themselves, and that's going to cost. One company that is trying to get ahead of the pack is UK Autodrive.
Most automakers are figuring out how to take the "driver" out of driving, but Nissan is using tech to make it more fun. It's researching what it calls "brain-to-vehicle" (B2V) tech that can read your brainwaves and figure out what you're going to do next. After the driver puts on a skullcap device that can measure brain activity, an AI system can then predict if you're going to turn or brake, and initiate the action 0.2 to 0.5 seconds before you react. "When most people think about autonomous driving, they have a very impersonal vision of the future, where humans relinquish control to the machines," said Nissan VP Daniele Schillaci. "B2V technology does the opposite, by using signals from their own brain to make the drive even more exciting and enjoyable."
Manufacturers of safety-critical systems must make the case that their product is sufficiently safe for public deployment. Much of this case often relies upon critical event outcomes from real-world testing, requiring manufacturers to be strategic about how they allocate testing resources in order to maximize their chances of demonstrating system safety. This work frames the partially observable and belief-dependent problem of test scheduling as a Markov decision process, which can be solved efficiently to yield closed-loop manufacturer testing policies. By solving for policies over a wide range of problem formulations, we are able to provide high-level guidance for manufacturers and regulators on issues relating to the testing of safety-critical systems. This guidance spans an array of topics, including circumstances under which manufacturers should continue testing despite observed incidents, when manufacturers should test aggressively, and when regulators should increase or reduce the real-world testing requirements for an autonomous vehicle.