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) …
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Several leading figures in AI, including LeCun, have studied or taught at Canadian universities. Reinforcement learning builds on deep learning to let machines learn through experimentation. Michael Bowling, a U.S.-born computer scientist who leads a lab at the University of Alberta that has produced cutting-edge poker-playing machines, says the new Facebook lab simply shows that Canada already leads the rest of the world in AI. Indeed, after seeing AI researchers snapped up by big U.S. companies in recent years, Canada may well hope that the environment fostered by new labs, including the one in Montreal, will eventually produce companies that rival the likes of Facebook.
Only believe running AI code, not marketing: the latest AI is updated in your cell phone weekly, is your cell phone sentient? For details about what the current AI can or can't do and why, please read: "AI (deep learning) explained simply", and "Deep Learning is not the AI future". But since most people identify the word AI with the sentient AI seen in the movies, and Google, Facebook, and "AI billionaires" are claiming to have "AI", people can only think at the sci-fi movies AI. Then, with large amounts of bots posting believable fake news on social networks, complete with photos and fake witnesses comments, and fake discussions between bots, you can influence elections or stock prices or anything required, quickly, using very little money and people.
In 2016, a lot of retailers started using chatbots to foster brand awareness and personalize customer experience. At the end of last year, two companies combined efforts to create the first influence chatbot for the American brand Cover Girl. Speaking about Kalani's case, the bot managed to generate 14% higher conversion rate than an average Kalani's post in social networks with striking 91% of positive feedbacks from its users. But, do you need to hire a programmer to build a chatbot for your marketing campaign?
Now Facebook is ready, the company announced on Wednesday, to take a first and significant step in building a safer and more supportive Facebook community by significantly strengthening its own suicide prevention tools (Facebook has had suicide reporting and tools for a decade). Facebook is also testing a pattern recognition system, that will identify posts that include suicidal thoughts. In addition and perhaps in acknowledgement of the Live.Me video tragedy, Facebook is also introducing suicide prevention tools to Facebook Live posts. The updated system will also offer the option to connect directly with someone from several suicide prevention organizations including Crisis Text Line and the National Suicide Prevention Line.
Created by a team of Stanford psychologists and AI experts, Woebot uses brief daily chat conversations, mood tracking, curated videos, and word games to help people manage mental health. Scientists who recently looked at text-chat as a supplement to videoconferencing therapy sessions observed that the texting option actually reduced interpersonal anxiety, allowing patients to more fully disclose and discuss issues shrouded in shame, guilt, and embarrassment. Yesterday, Darcy and a team of co-authors at Stanford published a peer-reviewed study in the Journal of Medical Internet Research, Mental Health that randomized 70 college students and asked them to engage with Woebot or a self-help e-book for two weeks. But using those results to claim it can significantly reduce depression may expose Woebot to legal liabilities that bots in supporting roles have managed to avoid.
The bots -- known as "dialog agents" -- were creating their own language -- well, kinda. Using machine learning algorithms, dialog agents were left to converse freely in an attempt to strengthen their conversational skills. Over time, the bots began to deviate from the scripted norms and in doing so, started communicating in an entirely new language -- one they created without human input. After learning to negotiate, the bots relied on machine learning and advanced strategies in an attempt to improve the outcome of these negotiations.
But while his peer scientists Yann LeCun and Geoffrey Hinton have signed on to Facebook and Google, respectively, Bengio, 53, has chosen to continue working from his small third-floor office on the hilltop campus of the University of Montreal. Shum, who is in charge of all of AI and research at Microsoft, has just finished a dress rehearsal for next week's Build developers conference, and he wants to show me demos. Shum has spent the past several years helping his boss, CEO Satya Nadella, make good on his promise to remake Microsoft around artificial intelligence. Bill Gates showed off a mapping technology in 1998, for example, but it never came to market; Google launched Maps in 2005.
Over time, the bots learned to go beyond simply mimicking humans and instead became more unpredictable with their responses. To test the model's effectiveness, Facebook created scenarios with a hypothetical set of objects. Facebook used an "end-to-end" training model, which means the process could be altered to give the algorithm other goals similar to the one in the study. In an email, Dhruv Batra, a Facebook visiting researcher who worked on the project and also teaches computer science at the Georgia Institute of Technology, told Inc. that Facebook doesn't have any plans to implement the technology into its product yet.
Colin Walsh, data scientist at Vanderbilt University Medical Center, hopes his work in predicting suicide risk will give people the opportunity to ask "what can I do?" Walsh and his team gathered data on 5,167 patients from Vanderbilt University Medical Center that had been admitted with signs of self-harm or suicidal ideation. "I'd like to think it'll be fairly quick, but fairly quick in health care tends to be in the order of months," he adds. Suicide is such an intensely personal act that it seems, from a human perspective, impossible to make such accurate predictions based on a crude set of data.