Artificial intelligence is no longer the sole domain of tech companies like Google, Facebook, IBM or Amazon. Recognizing the potential of exponential technologies like A.I. and bots, creative agencies like Ogilvy and consulting firms like McKinsey and Accenture now proudly feature A.I. departments. The message to brands executives is clear: understand and leverage trends in automation and artificial intelligence, or perish. According to McKinsey’s Michael Chiu, “research suggests that as many as 45 percent of the activities individuals are paid to perform can be automated by adapting currently demonstrated technologies. In the United States, these activities represent about $2...Read More
Author: Mariya Yao
Social robots stole the show at CES in Vegas this year. Dozens of offerings were on display, ranging from robots that tutor you in physics (Einstein), queue up your favorite recipes (Mykie), and even help autistic children socialize (Leka). Unlike your moody human friends, these robots promise to be available day and night, ever accommodating, and practically omniscient through their persistent connection to the internet and your personal data. Who wouldn’t want a reliable companion like that? Leading social robotics companies like Anki and Jibo have raised $157.5 million and $70.4 million to date from investors, respectively, while numerous...Read More
When we asked dozens of venture capitalists where they see the most potential for applied artificial intelligence, they unanimously agreed on healthcare. Technology has already been used to incrementally improve patient medical records, care delivery, diagnostic accuracy, and drug development, but with A.I. we could achieve exponential breakthroughs. Deep learning first caught the media’s attention when a team from the lab of Geoffrey Hinton at the University of Toronto won a Merck drug discovery competition despite having no experience with molecular biology and pharmaceutical development. Recently, a multidisciplinary research team at Stanford’s School of Medicine comprised of pathologists, biomedical...Read More
Planning to Netflix & Chill this weekend? The movie you choose to watch may be heavily influenced by Netflix’s sophisticated algorithms. Similarly, decisions like where you choose to dine and what you choose to wear are increasingly facilitated by predictive technologies powered by deep learning. Here are five ways that popular consumer tech companies Netflix, Yelp, Yahoo, StitchFix and Google improve your online experience with artificial intelligence. Netflix Dynamically Personalizes Layouts & Movie Thumbnails Historically, watching television is a uni-directional communication channel. You receive the content, but give no feedback to the content producers. With digital streaming, your watch...Read More
Deep learning is not a beginner-friendly subject, even for experienced software engineers and data scientists. If you’ve been Googling the subject and confused by the content you’ve come across, you’ll want to check out the recommended resources we’ve compiled for you. These educational resources include online courses, in-person courses, as well as books and videos. All are completely free and designed by leading professors, researchers, and industry professionals like Geoffrey Hinton, Yoshua Bengio, and Sebastian Thrun. Machine Learning Deep learning techniques build off of and often combine with classic machine learning methodologies. If you don’t know the difference...Read More
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