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) …
As part of Google's ongoing commitment to support ambitious computer science research and the arts, Google Arts & Culture, in collaboration with Google AI, invite proposals from contemporary artists working with machine learning in their art practices. Artists Machine Intelligence (AMI) grants will support six artists with technical mentorship, core Google research, and funding. Artists will have the opportunity to work with Google creative technologists to develop and produce artworks over the course of a five-month period. Mentorship may cover technical processes like data collection and analysis, to pipeline design, and model deployment, and includes access to core Google U/X and technical research in generative and decentralized machine learning, computer vision, and natural language processing. Apart from any Google background IP (if relevant), artists will own IP of their artwork.
Mobile maps route us through traffic, algorithms can now pilot automobiles, virtual assistants help us smoothly toggle between work and life, and smart code is adept at surfacing our next our new favorite song. But AI could prove dangerous, too. Tesla CEO Elon Musk once warned that biased, unmonitored and unregulated AI could be the "greatest risk we face as a civilization." Instead, AI experts are concerned that automated systems are likely to absorb bias from human programmers. And when bias is coded into the algorithms that power AI it will be nearly impossible to remove.
Google has unveiled updates for its artificially intelligent voice assistant and new privacy tools to give people more control over how they're being tracked on the go or at home. The company also unveiled a new Pixel phone and smart home display. Google just made ordering pizza, pad thai and fried chicken from your favorite restaurants even easier. The search giant announced on Thursday that it updated apps like Google Maps, Google Search and the Google Assistant to make ordering food online more convenient, so you don't have to download as many third-party apps. "When I was pregnant with my son last year, my cravings were completely overpowering," said Google's senior product manager of food ordering, Anantica Singh, in a blog post.
"PropTech AI won't be able to immediately fill the shoes of an estate agent." PropTech is hardly a new industry; estate agents and other businesses in the property industry have been digitally transforming for decades. Search portals, such as Rightmove in the UK, started amalgamating available properties and recommending homes over 18 years ago when Amazon was just expanding from being a book reseller to a full-blown reseller site for third-party consumer goods. In 2019, it's not surprising that some PropTech companies have already been touting claims of artificial intelligence (AI) and machine learning so sophisticated it can replace a real estate agent outright. This is stretching the truth.
When Google launched Duplex with a demo at I/O last year, the audience was left wondering how much of the call was staged. The AI-based reservation booking service seemed almost too impressive to be a machine. Now that it's been used for real-world reservations, Google has revealed that it frequently isn't. The company recently told The New York Times that Duplex calls are often still made by human operators at call centers. Roughly a quarter of calls start with a live human voice.
In the last 10 years, we've seen some significant breakthroughs in the domain of artificial intelligence (AI) and machine learning. In 2011, IBM Watson showed the world that it can be a reality TV show winner. In 2014, Google acquired an AI company called DeepMind, and one of its project, AlphaGo, beat the European Go champion in 2015. In 2016, Google made its TensorFlow library open source, which made machine learning accessible to the masses. Last year, people were left dumbfounded when Google Duplex made a haircut appointment over the phone.
Deep learning is increasingly capable of assessing the emotion of human faces, looking across an image to estimate how happy or sad the people in it appear to be. What if this could be applied to television news, estimating the average emotion of all of the human faces seen on the news over the course of a week? While AI-based facial sentiment assessment is still very much an active area of research, an experiment using Google's cloud AI to analyze a week's worth of television news coverage from the Internet Archive's Television News Archive demonstrates that even within the limitations of today's tools, there is a lot of visual sentiment in television news. To better understand the facial emotion of television, CNN, MSNBC and Fox News and the morning and evening broadcasts of San Francisco affiliates KGO (ABC), KPIX (CBS), KNTV (NBC) and KQED (PBS) from April 15 to April 22, 2019, totaling 812 hours of television news, were analyzed using Google's Vision AI image understanding API with all of its features enabled, including facial detection. Facial detection is very different from facial recognition.
"It sounded very real," Mr. Tran said in an interview after hanging up the call with Google. Google later confirmed, to our disappointment, that the caller had been telling the truth: He was a person working in a call center. The company said that about 25 percent of calls placed through Duplex started with a human, and that about 15 percent of those that began with an automated system had a human intervene at some point. We tested Duplex for several days, calling more than a dozen restaurants, and our tests showed a heavy reliance on humans. Among our four successful bookings with Duplex, three were done by people.
One of the most interesting demos at this week's Google I/O keynote featured a new version of Google's voice assistant that's due out later this year. A Google employee asked the Google Assistant to bring up her photos and then show her photos with animals. She tapped one and said, "Send it to Justin." The photo was dropped into the messaging app. From there, things got more impressive.
From personal assistants to legal counsel on parking fines, artificial intelligence (AI) and machine learning (ML) have established their potential as disruptive technology that will alter industries. With each passing day, further discoveries enable AI to become more sophisticated and viable in our world. Naturally, like all things digital, AI has had a profound impact on digital marketing as well. From Google's RankBrain search engine algorithm to Amazon's personalized recommendations, it is powering the world's leading organizations and changing the face of the modern digital marketing landscape. Currently, I work as senior vice president of marketing at CUJO AI, an AI-driven network security and intelligence company.