Artificial intelligence (AI) is likely to prove the most transformative technology of the 21st century. Those of us who work in the field – whether in the public or private sector – are at a frontier that is advancing at an ever-accelerating rate. Yet my work on tech policy at the Government Digital Service and the Home Office often left me in despair. At a time when the possibilities created by AI are multiplying rapidly, the government isn't really at the races. The Government's Digital Strategy, published yesterday, and the government's Transformation Strategy, published a couple of weeks ago, are a case in point.

Three years after its founding, Seattle's Allen Institute for Artificial Intelligence is racking up recognition in the field of AI research – and some of its research will have an impact on the burgeoning AI market. The institute, known as AI2, was founded by Microsoft co-founder Paul Allen in 2014 with longtime computer science researcher Oren Etzioni as its CEO. Since its founding, AI2 has spawned two spin-offs: Kitt.ai, which was created a little more than a year ago; and Xnor.ai, which made its debut this month. AI2 has built its workforce up to 75 people, which Etzioni says makes it the largest nonprofit AI research center in North America. Etzioni said the institute is sharpening its focus on the moonshot challenges that artificial intelligence can address.

There are two kinds of people: Those who aren't sure what a chatbot is, and those who are really tired of hearing about them. Last year, 2016, was the year that chatbots -- software programs that converse with humans in a human language, such as English or Chinese, rather than through a graphic interface or via computer-language commands -- were widely talked up as the Future of Technology. Facebook's April 2016 announcement of support for chatbots in its Messenger system for one-on-one communications was largely resposible for what can only be described as hype around what chatbots would soon be doing for all of us. The chatbots that debuted with Facebook's launch were comically disappointing, but as a VentureBeat reporter quipped, "Facebook could announce they found a new recipe for blueberry pancakes and people would pay attention. We were off to the races."

In the previous two posts, we looked at why chatbots are hot with investors and businesses, and what they actually do today. But what excites most of these people, whether they're looking to get rich or just want more mechanical friends, is the potential for chatbots to become much, much smarter and more personal. Not only our equals, but in some ways our betters. After an overhyped launch of Facebook's Messenger platform with support for chatbots (or in USA Today, "chat bots") a year ago, it's become obvious that conversational software isn't going to be up to speed selling strollers and VR headsets online as quickly as many had hoped. Even Facebook is said to be dialing back its expectations -- a report in The Information claims that in tests, the AI behind Facebook's chatbot platform failed to fulfill 70 percent of requests without human intercession.

Nintendo Switch games are coated in horrible chemicals that you should never eat, the company has confirmed. The Japanese game firm has released its new and perhaps riskiest ever console, the Switch, mostly to positive reviews and expected good sales. But one little secret is lurking on all of the games, which are delivered on small memory cards that are put into the machine. "To avoid the possibility of accidental ingestion, keep the game card away from young children," Nintendo told Kotaku. "A bittering agent (Denatonium Benzoate) has also been applied to the game card. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot ...

Girouard: With a third of our management team from Google, we're the first consumer platform to leverage machine learning and modern technology to power our platform. A lot of other lenders give lip service to being technology companies when they're really finance companies who hired a few Web developers. We're the real deal when it comes to data science and technology. We have a team of data scientists who are predominantly math and statistics PhDs - they don't come from traditional credit modeling backgrounds. If you looked inside 99% of lenders, you would see fairly simple modeling techniques that amount to look-up tables, or at best simple linear regression.

Artificial intelligence (AI) already plays a major role in human economies and societies, and it will play an even bigger role in the coming years. To ponder the future of AI is thus to acknowledge that the future is AI. This will be partly owing to advances in "deep learning," which uses multi-layer neural networks that were first theorized in the 1980s. With today's greater computing power and storage, deep learning is now a practical possibility, and a deep-learning application gained worldwide attention in 2016 by beating the world champion in Go. Commercial enterprises and governments alike hope to adapt the technology to find useful patterns in "Big Data" of all kinds.

JPMorgan has developed machine learning software that saves the company 360,000 lawyer hours per year. Normally it takes a team of lawyers many hours interpreting the 12,000 commercial-loan agreements that JPMorgan processes per year. With the new Contract Intelligence software nicknamed COIN; JPMorgan is finding far less mistakes being made and it only takes seconds to process a form. JPMorgan invests heavily into technology by budgeting 9% of their projected revenue into development of new technology. This amount exceeded $1 billion dollars of technology investment over the past two years.

The writer William Gibson once said that the future is here, just not evenly distributed. That was the case with the World Wide Web 20 years ago, when some business models – notably e-commerce and new media – took off faster than others. Now a similar trend is happening with artificial intelligence, or AI. The promise of AI has seemingly been just on the horizon for years, with little evidence of change in the lives of most consumers. A few years ago, buzzwords like "big data" hinted at the potential, but ending up generating little actual impact.

Google's Perspective API, created in conjunction with Alphabet incubee Jigsaw, is supposed to provide an automated way to detect "toxic" language in social media. "Through different experiments, we show that an adversary can deceive the system by misspelling the abusive words or by adding punctuations between the letters," the four academics wrote in their recently published paper, "Deceiving Google's Perspective API Built for Detecting Toxic Comments." The API is intended to allow digital publishers to assess the sentiment expressed in online posts in real time. Words get sent to a server for analysis and scores get returned, ideally allowing publishers to detect trolls as they type and to take the necessary steps to keep online interaction civil. In practice, just like other automated content filtering, malware detection, and spam detection systems, Perspective can be fooled.