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) …
Would you act differently if you knew that somebody constantly watches you to analyze your behavior and emotions? People will have to answer this question soon. While facial recognition and other biometric technologies are becoming more prominent in a range of services including password authentication and Internet of Things (IoT) devices, the pervasiveness of such technologies in our daily lives is becoming disturbing. And this says nothing about how fast they are spreading. Surveillance in retail stores that analyzes the behavior of shoppers, facial-recognition technology to expedite checking in to flights and hotels, targeted-marketing algorithms that deliver personalized ads by scanning the customer's face – these are a few examples, the tip of the iceberg, of how industries are using artificial-intelligence (AI) tech.
Startup Lunarship Software announces version 2019.11 of its photo organizer Phototheca, which is now equipped with deep neural networks to search for people and cats in photographs automatically. Phototheca app users who already benefitted from the product's photo organization features, will now be able to organize and manage photos faster and more accurately. The main feature in the new version of the Phototheca photo organizer is the implementation of Deep Learning algorithms for face detection and recognition of humans and cats. Having emerged in the late 2000s, Deep Learning is a revolutionary artificial intelligence technology that allows training artificial neural networks on large volumes of data. Many of the most innovative and advanced product features currently available, such as facial recognition on Facebook and Google, as well as Apple's Siri's voice recognition, are all based on Deep Learning.
Artificial intelligence technology is advancing and bringing opportunities for society but also profound challenges for individual freedom. AI is a powerful enabler of surveillance technology, such as facial recognition, and many countries are grappling with appropriate rules for use, weighing the security benefits against privacy risks. Authoritarian regimes, however, lack strong institutional mechanisms to protect individual privacy--a free and independent press, civil society, an independent judiciary--and the result is the widespread use of AI for surveillance and repression. This dynamic is most acute in China, where the Chinese government is pioneering new uses of AI to monitor and control its population. China has already begun to export this technology along with laws and norms for illiberal uses to other nations.
Locking your phone keeps out snoops, but it's also your first line of defense against hackers and cybercriminals out for your data and anything else they can steal. Tap or click for 3 safer ways to pay for things online other than credit cards. So, what's the best way to secure your phone? Is it biometrics like your fingerprint or a scan of your face? Most people aren't very good at creating hard-to-crack passwords, so yours might not even be effective at keeping your devices or your accounts safe.
As police embrace new facial recognition technology, many fear false matches could lead to wrongful arrests. The fight over the use of our faces is far from done. A raging battle over controversial facial recognition software used by law enforcement and the civil rights of Americans might be heading to a courtroom. The latest salvo includes the American Civil Liberties Union suing the FBI, the Department of Justice and the Drug Enforcement Agency for those federal agencies' records to see if there is any secret surveillance in use nationwide. The lawsuit, filed Oct. 31, comes as organizations and law enforcement are going toe-to-toe over what is private and what isn't.
When society uses artificial intelligence (AI) to help build judgments about individuals, fairness and equity are critical considerations. On Nov. 12, Brookings Fellow Nicol Turner-Lee sat down with Solon Barocas of Cornell University, Natasha Duarte of the Center for Democracy & Technology, and Karl Ricanek of the University of North Carolina Wilmington to discuss artificial intelligence in the context of societal bias, technological testing, and the legal system. Artificial intelligence is an element of many everyday services and applications, including electronic devices, online search engines, and social media platforms. In most cases, AI provides positive utility for consumers--such as when machines automatically detect credit card fraud or help doctors assess health care risks. However, there is a smaller percentage of cases, such as when AI helps inform decisions on credit limits or mortgage lending, where technology has a higher potential to augment historical biases.
Firm leverages AI technology similar to facial recognition to figure out which small molecules can bind most effectively with targeted enzymes. Does the future of drug development lie in a kind of facial-recognition technology for enzymes? That is the hope of X-37 LLC, a drug-development startup that is using artificial intelligence and a deep neural network developed by San Francisco-based Atomwise. "We think that this is an approach and a technology that is really going to transform drug discovery across the board," said Dr. David Collier, CEO of X-37, which is partly owned by Atomwise and is based in South San Francisco, California. It was founded last year.
Facebook isn't entirely shying away from facial recognition, it seems. Code explorer Jane Manchun Wong has discovered a reference to a purported facial recognition system in Facebook's mobile app that would verify your identity. You'd have to take a "video selfie" where you look in different directions to give Facebook a more complete view of your face. It would bit like Apple's Face ID and similar systems, but there's no evidence it would require a depth sensor. Facebook vows that "no one else" will see the video and that it'll delete the clip after 30 days, although that's not quite as secure as systems like Face ID (which doesn't allow data to leave the device, and only captures "mathematical representations" of your face).
Google became what it is by creating advanced new technology and throwing it open to all. Giant businesses and individuals alike can use the company's search and email services, or tap its targeting algorithms and vast audience for ad campaigns. Yet Google's progress on artificial intelligence now appears to have the company rethinking its do-what-you-will approach. The company has begun withholding or restricting some of its AI research and services, to protect the public from misuse. Google CEO Sundar Pichai has made "AI first" a company slogan, but the company's wariness of AI's power has sometimes let its competitors lead instead.
Intelligent robots, intelligent virtual assistants, intelligent cars intelligently driving themselves, intelligent search systems learning and already knowing our browsing habits, interests, knowing what we are going to do online and even in real life. Siri and Alexa, Tesla, Amazon and Google, artificially intelligent algorithms that are everywhere, able to do many things instead of us. In the future, AI is going to change everything. As for now, there are lots of discussions about 4 main AI trends that are prone to shape the AI mechanized future of mankind. Here they are: deep learning, facial recognition, cloud, privacy and policy.