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) …
Articles about technology and the future of transportation rarely used to get far without mentioning jetpacks: a staple of science fiction from the 1920s onwards, the jetpack became a reality in the 1960s in the shape of devices such as the Bell Rocket Belt. But despite many similar efforts, the skies over our cities remain stubbornly free of jetpack-toting commuters. For a novel form of transport to make a material difference to our lives, several key requirements must be satisfied. Obviously the new technology must work safely, and operate within an appropriate regulatory framework. But public acceptance and solid business models are also vital if a new idea is to move from R&D lab to testbed to early adoption, and eventually into mainstream usage.
In the field of self-driving cars, algorithms for controlling lane changes are an important topic of study. But most existing lane-change algorithms have one of two drawbacks: Either they rely on detailed statistical models of the driving environment, which are difficult to assemble and too complex to analyze on the fly; or they're so simple that they can lead to impractically conservative decisions, such as never changing lanes at all. At the International Conference on Robotics and Automation tomorrow, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) will present a new lane-change algorithm that splits the difference. It allows for more aggressive lane changes than the simple models do but relies only on immediate information about other vehicles' directions and velocities to make decisions. "The motivation is, 'What can we do with as little information as possible?'"
From the first mass produced cars to passenger aircraft breaking the sound barrier, there have been numerous advances within the area of transportation that have had a profound effect on the way in which we approach travel and transport. However, the latest technological advance to begin to revolutionize transportation may come to dwarf any and all that arrived before it. And its uses are many. In this article, we'll being looking at a few examples of artificial intelligence within transportation and how it is helping to meet several of the most common and persistent challenges in this area. There are several challenges that are persistent throughout the transportation industry and that have plagued this sector ever since its inception.
For a while, people were really excited about the potential of self-driving cars, which promised to make our future commutes easier, more productive, and safer. Then came some high-profile autonomous vehicle accidents -- including two fatal crashes -- and let's just say the excitement has waned a bit. SEE ALSO: Tesla's Autopilot fails haven't shaken my faith in self-driving cars. A new survey released Tuesday by the American Automobile Association found that 73 percent of American drivers are scared to ride in an autonomous vehicle. That figure is up 10 percent from the end of last year.
An Uber Technologies Inc. Volvo self-driving sports utility vehicles (SUV) sits on the road after a high-impact crash in Tempe, Arizona, U.S., on Friday, March 24, 2017. Uber Technologies Inc.'s self-driving cars were back on public roads Monday,... A spate of recent crashes involving Tesla and Uber are taking a toll on public confidence in self-driving cars. Two studies released this week, one by AAA and the other by Cargurus.com, The AAA survey was conducted in April, shortly after a self-driving Uber vehicle struck and killed Elaine Herzberg in Tempe, Ariz., and after a fatal accident involving a Tesla Model X operating in Autopilot mode in Mountain View, Calif.
Consumer trust in self-driving cars has tumbled according to a new survey that found 73 per cent of people would be too afraid to ride in an autonomous vehicle. The US survey found faith in the technology had plummeted by ten per cent from the end of 2017 as a result of two high-profile deaths in March. Research suggests that in the long-term self-driving cars are set to drastically reduce deaths by eliminating human error but it seems consumers are yet to be convinced. The issue of AI in self-driving cars flared up following the death of a women hit but a self-driving Uber and a man killed while using his Tesla Model X's autopilot feature in March this year. A survey by the American Automobile Association looked at 1,014 people and was conducted between 5 to 8 April, just weeks after the two highly-publicised deaths.
A Waymo self-driving van was involved in a car accident Friday afternoon in Chandler, Ariz. The self-driving van is not believed to be at fault, but this incident is still under investigation. U.S. drivers' fears of fully autonomous (self-driving) vehicles has risen in the past several months according to a new survey by AAA. Late last year a survey of American drivers revealed that 63% were wary of riding in a fully autonomous (self-driving) car. A new survey by AAA shows that nearly three-quarters (73%) now fear riding in a self-driving vehicle.
Police on Tuesday launched an expert panel tasked with discussing driving rules for autonomous vehicles, including a potential revision to road traffic laws. Experts in law, social infrastructure and other areas will discuss specific issues to be resolved as firms move closer to commercializing self-driving cars for public roads. The government has recently compiled a policy outline for introducing mostly autonomous cars by 2025. The panel is set to propose detailed rules such as how penalties will apply for accidents and traffic law violations involving level 3 and 4 autonomous vehicles. Level 3 autonomy allows drivers to move their attention from driving in specific situations while requiring them to take back control when the vehicle requests it.
San Jose, which was considered the "holy grail of shipwrecks," was located with the help of an underwater autonomous vehicle An autonomous vehicle was used in 2015 to locate a Spanish galleon that sunk 300 years ago off the coast of Colombia with $17 billion in treasure, the research team that helped in the discovery said on Monday. The San Jose, which was considered the "holy grail of shipwrecks," was located with the help of an underwater autonomous vehicle operated by the Woods Hole Oceanographic Institution. The institution said it was holding the discovery under wraps out of respect for the Colombian government. REMUS 6000 being deployed off the Colombian Navy research ship ARC Malpelo. The treasure--which includes of gold, silver and emeralds-- has been the subject of legal battles between several nations as well as private companies.
Last week, Apple's secretive, self-driving car project got some attention for adding more cars approved for testing in California. But despite the company's big name and the heightened curiosity over the iPhone-maker's foray into autonomous vehicles, the winner here is not the company you'd expect. We looked at the past few months of reports from the California DMV's self-driving permit program to see which of the 50-plus (and growing) companies involved are stepping up its testing. Only two companies -- Waymo, the self-driving car program from Google, and one other that has not been publicly revealed at this time -- have applied for permits for the state's truly driverless testing program, which would allow for an empty vehicle. In terms of cars currently allowed to test drive on the California road, GM's Cruise Automation dominates the big players.