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) …
So instead of arranging themselves in a net shape, the flatworm's nervous system all revolved around a central highway of messenger nerves that would pass messages back and forth between the boss and everyone else: The flatworm's boss-highway system was the world's first central nervous system, and the boss in the flatworm's head was the world's first brain. As time passed and Earth's animals started inventing intricate new body systems, the bosses got busier. He turned each human's head into a little world of its own, making humans the first animal that could think complex thoughts, reason through decisions, and make long-term plans. Not only had he made the human head a wondrous internal ocean of complex thoughts, his latest breakthrough had found a way to translate those thoughts into a symbolic set of sounds and send them vibrating through the air into the heads of other humans, who could then decode the sounds and absorb the embedded idea into their own internal thought oceans.
Dating app Tinder relies on algorithms to decide which photos users see. As algorithms become entrenched into society, the debate about their effects rages on. In essence, algorithms are sequences of instructions used to solve problems and perform functions in computer programming. As mathematical expressions, algorithms existed long before modern computers. While they vary in application, all algorithms have three things in common: clearly-defined beginning and ending points, discrete sets of "steps," and design meant to address a specific type of problem.
However, the real risk posed by AI – at least in the near term – is much more insidious. The Center for Human-Compatible Artificial Intelligence, launched this week with 5.5m in funding from the Open Philanthropy Project, is lead by computer science professor and artificial intelligence pioneer Stuart Russell. "The potential benefits [of AI research] are huge, since everything that civilization has to offer is a product of human intelligence; we cannot predict what we might achieve when this intelligence is magnified by the tools AI may provide, but the eradication of disease and poverty are not unfathomable," the letter reads. Similarly, an artificially intelligent hedge fund designed to maximize the value of its portfolio could be incentivized to short consumer stocks, buy long on defence stocks and then start a war – as suggested by Elon Musk in Werner Herzog's latest documentary.
Tesla Motors is trying to see if it can make improvements in its Autopilot partial self-driving system, which may have been a factor in a recent fatal accident. He said "significant improvements" look possible that would be beamed to Tesla's electric cars wireless via over-the-air updates. The National Highway Traffic Safety Administration opened an investigation. Last week, the National Transportation Safety Board sent its own team to look into the safety of the system.
Tesla co-founder and CEO Elon Musk, who is also co-founder and chairman of the solar energy company, called the bid "blindingly obvious" in a conference call late Tuesday, offering up his vision for an integrated new energy company -- one that builds electric cars, manufactures batteries, assembles and sells storage and delivers solar energy systems to homes and businesses. Tesla CEO Elon Musk speaks during an event in Fremont, California, to launch the Tesla Model X crossover SUV on Sept. 29, 2015. Tesla's shares touched their lowest price since March 3 in after-hours trading, plunging nearly 12 percent to 194 a share. Tesla Motors sells high-tech luxury electric cars that start at about 67,000 for a base Model S to nearly 139,000 for a fully loaded Model X utility vehicle with advanced semi-autonomous driving features.
RANCHOS PALOS VERDES, California -- Ford wants to innovate, but not at the expense of its customers and core business. That's the core takeaway from Ford CEO Mark Fields' sit down on Tuesday with Recode's Kara Swisher and Pete Kafka at the annual Code Conference. "[We] want to keep up with the customer, not just keep up with the competition," Fields said. While Fields talked about the company's investment in Silicon Valley and its Smart Mobility Initiative, he wouldn't share details on exactly what it's doing in the autonomous driving space and, especially, refused to reveal any details regarding conversations his company has had with Google and other companies in the tech industry. When Swisher pressed, Ford demurred and said "We talk with everybody."
However, recent developments in the area of humanoid robots are not all taking the same philanthropic direction. In 2013, Google's move into the robotics with the acquisition of the most advanced engineering firm Boston Dynamics (a spin-off of MIT), gave the whole industry the hope for some positive developments in that area. Elon Musk cites his decision to invest in the Artificial Intelligence firm, DeepMind, as a means to "just keep an eye on what's going on with artificial intelligence. Like many innovative companies, Deepmind ended up being acquired by Google in 2014 and more recently it made the headlines by defeating the Go World Champion.
With this, the car has a supreme autopilot system, relying on leading machine learning algorithms using multiple sensors and even a front-facing camera. The technology used inside Tesla's cars to collect data and make use of machine learning algorithms are: Notice the use of a front-facing camera, this isn't just for recording an accident that may happen, it shows that the area of machine learning known as computer vision is integrated in this technology. Of course, Tesla aren't the only one exploring the capabilities of machine learning in a car, with the popular Google Self-Driving cars roaming around the place. I attempted to contact Elon on his Twitter for more information about the machine learning involved in the autopilot system, but unfortunately running two, billion dollar companies probably takes up a good chunk of your time, so he has not yet replied!
When 2020 hits, you can bet it will start the decade of driverless cars. Musk himself said that it's unlikely regulators will be ready for driverless cars to hit the roads in 2018, so we'll have to wait to see how that plays out. But we have yet to hear specifics about Uber's driverless car plans. Aside from the need for further technological refinement, Google has called for federal laws that will set regulations for driverless cars and allow them to hit the roads.
However, if you talk to people who work closely with this kind of technology, which has been called deep neural networks, deep learning, smart machines, or machine intelligence, you'll find out that it has advanced significantly in the past few years, and even bigger progress is coming very soon. He estimates that about half of large enterprises are experimenting with "smart computing" projects. Another big indication is that several tech industry giants are contributing their machine learning development efforts to open source projects. Google released its TensorFlow machine learning system to open source, offering it as a standalone library and associated tools, tutorials, and examples under the Apache 2.0 license.