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) …
JUUL has been called'highly addictive', but the firm may be developing a new product that helps users kick the habit once and for all. The San Francisco company filed a patent that describes an artificial intelligence powered product that delivers fewer nicotine amounts to the user by learning their smoking habits over time. The document highlights a device that alternates between nicotine and a non-nicotine product in order to gradually reduce the intake of the drug. The device may also be connected to a smartphone that could log how much nicotine is being consumed, allowing the device to determine how it should regulate the drug, as first reported on by The Logic. JUUL started off as a way of providing the world's one billion smokers with an alternative to combustible tobacco products.
Most of the retail robots have just enough human qualities to make them appear benign, but not too many to suggest they are replacing humans entirely. "It's like Mary Poppins," said Peter Hancock, a professor at the University of Central Florida, who has studied the history of automation. "A spoonful of sugar makes the robots go down." Perhaps no other retailer is dealing as intensely with the sensitivities around automation as Walmart, the nation's largest private employer, with about 1.5 million workers. The company spent many months working with the firm Bossa Nova and researchers at Carnegie Mellon University to design a shelf-scanning robot that they hope both employees and customers will feel comfortable with.
A new manga plotted and designed by artificial intelligence that learned the artistic style of "Astro Boy" manga creator Osamu Tezuka will be published this week, a project sponsor said Wednesday. The manga "Paidon" to be released Thursday in the weekly comic magazine "Morning" was created by AI, which analyzed 65 works by Tezuka, including such classics as "Phoenix" and "Black Jack," according to Kioxia Holdings Corp., a memory chip maker that launched the project. By analyzing Tezuka's works, the AI generated character designs and basic storylines before professional creators added such elements as clothing and dialogue to complete the work. "I always felt sad whenever Osamu Tezuka fans said they could no longer enjoy new works by him. AI creating his new work … that's exactly the kind of (technologically advanced) world depicted in Tezuka's manga," the late author's son and video creator Makoto Tezuka, who contributed to the project, told a news conference in Tokyo.
The challenge is that the math behind it is somewhat complicated, and that it has to be run, over and over, across vast quantities of data to suss out the statistical weights and biases of a particular system. The work will get done; it might just take a long time. Data scientists and machine learning researchers have long used graphics processing units (GPUs) because of their highly parallelized architecture and relatively abundant on-chip memory available. But as industry and research groups alike seek more efficiency and need to accommodate ever-larger quantities of information, more specialized computing hardware is required for the task. Headquartered in Bristol, U.K., Graphcore is in the business of producing silicon purpose-built for munching through machine-learning math at high rates of speed and using less electricity than GPUs.
Artificial Intelligence is a wider technology that covers the whole gamut of machines that can undertake activities humans would normally do – a really early example of this would be the autopilot on a plane. The autopilot has been given a series of programmed instructions on how to deal with specific scenarios and can hold a steady course by'Intelligently' making adjustments based on the data it is receiving. However, it is still reliant on human programmers to outline the parameters for which is it is to operate within and how it is to behave.
In order to benefit from artificial intelligence, must we forego our privacy? That's certainly how it feels these days. "Don't panic yet," says Casimir Wierzynski, Senior Director of AI Products at Intel. His team at Intel is among those at the forefront of something called privacy-preserving machine learning, a set of techniques that allow artificial intelligence to do its thing without actually exposing the underlying information. There just may be hope yet!
AI means a lot of things to a lot of people. Usually what it means is not very well thought out. It is felt, it is intuited. It is either adored, worshipped or deemed blasphemous, profane, to be feared. In this article, I explore what society at large really means by artificial intelligence as opposed to what researchers or computer scientists mean.
In recent months, Clearview AI has been attacked from all sides by lawmakers, tech giants, and privacy advocates for its business practices, which include scraping public images of people from sites like LinkedIn, Venmo, Facebook, and YouTube. Clearview AI's systems then allow clients to search for people in its database using these scraped images. While several law enforcement agencies are known to use Clearview AI's services, the breach of its entire client list may shed some embarrassment on other organizations who are clients of the company that wish to remain unknown. As of now, however, it looks like Clearview AI's client list hasn't been made public--at least not yet. Clearview AI made the disclosure of the breach in an email to clients, saying an intruder "gained unauthorized access" to the client list.
With advanced research happening in the realm of artificial intelligence (AI), the technology is poised to become smarter than its human creators. But until that day, it is like to harbour sexist, racist and even homophobic tendencies – all inherited from its makers' social and cultural biases. This was discussed at some length last year at Rising, one of the country's biggest gatherings of women trailblazers in the fields of data science and AI. Held on March 8 to commemorate Women's Day, the one-day event hosted more than 250 participants and featured more than 15 sessions led by industry leaders, mostly women. One of the speakers on the occasion, Director of Citi Saraswathi Ramachandra, provoked a discussion around a hotly debated topic – Is AI sexist.
Properly used, positive reinforcement is extremely powerful. Tic-Tac-Toe is a simple game. If both sides play perfectly, neither can win. But if one plays imperfectly, the other can exploit the flaws in the other's strategy. Does that sound a little like trading? Reinforcement learning is a machine learning paradigm that can learn behavior to achieve maximum reward in complex dynamic environments, as simple as Tic-Tac-Toe, or as complex as Go, and options trading. In this post, we will try to explain what reinforcement learning is, share code to apply it, and references to learn more about it.