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) …
Like many parents in the United States, Rob Glaser has been thinking a lot lately about how to keep his kids from getting shot in school. Specifically, he's been thinking of what he can do that doesn't involve getting into a nasty and endless battle over what he calls "the g-word." It's not that Glaser opposes gun control. A steady Democratic donor, Glaser founded the online streaming giant RealNetworks back in the 1990s as a vehicle for broadcasting left-leaning political views. It's just that any conversation about curbing gun rights in America tends to lead more to gridlock and finger-pointing than it does to action.
Facial recognition tech is becoming more sophisticated, with some firms claiming it can even read our emotions and detect suspicious behaviour. But what implications does this have for privacy and civil liberties? Facial recognition tech has been around for decades, but it has been progressing in leaps and bounds in recent years due to advances in computing vision and artificial intelligence (AI), tech experts say. It is now being used to identify people at borders, unlock smart phones, spot criminals, and authenticate banking transactions. But some tech firms are claiming it can also assess our emotional state.
Remember the movie "The Imitation Game"? The tragic story of a brilliant man who decrypted secret German Enigma messages, indirectly shortened World War II, saved millions of lives, and was later charged for homosexuality, forced to undergo chemical treatment, and ended his life shortly after? The real Alan Turing accomplished many more brilliant miracles than this. He also published papers on theories of artificial intelligence (AI). In fact, the title "The Imitation Game" had little to do with the movie. It was a game he mentioned in one of his papers where humans will one day engineer a machine to imitate humans so well that a human on the other side of the room will be fooled he was communicating with another human. Turing was a pioneer in the field of computer science. Only after his death would he be known as the father of AI.
Artificial intelligence, or AI, has been a hot topic of late. Whether it's talked about as a boon to progress or with caution to its power as a technology, the future will almost certainly include some form of AI in many parts of our lives. AI for small business is also a sure bet, whether within production processes, points of sale, marketing, or other areas. And while the full form it takes within a business is still being determined, learning about AI and how it might be harnessed can help business owners better prepare for its eventuality. The first question typically asked by many non-tech people is exactly what is artificial intelligence?
Last September, the world welcomed Juggalos (or Juggalettes, depending on which you prefer) to The Resistance when they marched on Washington en masse to protest the policies of the Trump administration. As if they weren't already doing the absolute most, the die-hard fans of the rap group Insane Clown Posse have become accidental heroes for people concerned about facial recognition tech: According to Twitter user @tahkion, a computer science blogger for WonderHowTo, Juggalo makeup outmatches the machine learning algorithms that govern facial recognition technology. In a series of follow-up tweets, @tahkion explained that facial recognition works by pinpointing the areas of contrast on a human face--for instance, where a nose is located, or where the chin becomes the neck. As it happens, juggalo makeup often involves applying black paint below the mouth, but above the chin. That makes facial recognition vulnerable to misidentifying the placement of the jaw.
Machine Learning as the name signifies allows machines to learn with huge volumes of data that an algorithm can process to make predictions. Essentially, machine learning eliminates the need to continuously code or analyze data themselves to solve a solution or present a logic. In other words, this form of AI enables a computer's ability to learn and teach itself to evolve as it is fed new data. And since machine learning deploys an iterative approach to glean from data, this learning process is automated and the models are run until a robust pattern is found. ML software constitutes of two main elements -- statistical analysis and predictive analysis which is used to spot patterns and uncover hidden insights from previous computations without being programmed.
Since then, this competition has become the benchmark arena where state-of-the-art computer vision models are introduced. In particular, there have been many competing models using deep Convolutional Neural Nets as their backbone architecture. The most popular ones that achieved excellent results in the ImageNet competition include: ZFNet (2013), GoogLeNet (2014), VGGNet (2014), ResNet (2015), DenseNet (2016), etc. These architectures were getting deeper and deeper year by year.
Facial recognition technology is useful to some, unnerving to others and is the latest Facebook privacy criticism. It's the first big tech company to raise serious alarms about an increasingly sought-after technology for recognizing a person's face from a photo or through a camera. Microsoft President Brad Smith said in a blog post Friday that the government should form a bipartisan expert commission. Many uses of facial recognition technology are "positive and potentially even profound," Smith said. "But other potential applications are more sobering.
Future Tense is a partnership of Slate, New America, and Arizona State University that examines emerging technologies, public policy, and society. A cogent and forceful argument for the government to regulate face-recognition technology was published on Friday--not by a legislator, pundit, or advocacy group, but by Microsoft. In a lengthy blog post, the Seattle-based tech giant made the case that face recognition is too potent, and comes with too many risks, for the public to leave entirely in the hands of private companies such as itself. The technology, which uses machine-learning software to automatically identify people in photographs and video footage, is increasingly used by social networks and photo apps, and as a security measure on devices like iPhones. It's also being used by a growing number of law enforcement agencies to help identify suspects in crimes such as the mass shooting at the Capital Gazette newspaper in Annapolis, Maryland, in June.
AI, machine learning, and deep learning - these terms overlap and are easily confused, so let's start with some short definitions. AI means getting a computer to mimic human behavior in some way. Machine learning is a subset of AI, and it consists of the techniques that enable computers to figure things out from the data and deliver AI applications. Deep learning, meanwhile, is a subset of machine learning that enables computers to solve more complex problems. Those descriptions are correct, but they are a little concise.