Xiaomi has uploaded an English-subtitled video demonstrating Xiao AI, a voice assistant built specifically for Xiaomi phones. As you’ll see, it’s pretty similar in scope to the likes of Siri and Google Assistant, but is clearly tailored for the Chinese market with hooks into WeChat and so on.
For now, Xiao AI isn’t coming to India or any of the other regions outside China where Xiaomi has a strong presence. While Xiaomi did recently announce a partnership with Microsoft that at some point may include integrating the Cortana voice assistant with the Mi AI Speaker, that doesn’t appear to cover phones. Instead, Xiaomi phones in India can use Google Assistant, which of course isn’t available in China at all but does now work in Hindi as well as English.
Joi Ito (Director of MIT Media Lab) writes about how we can directly see the effect artificial intelligence and the use of algorithms have on our lives, whether through the phones in our pockets or Alexa on our coffee table. AI is now making decisions for judges about the risks that someone accused of a crime will violate the terms of his pretrial probation, even though a growing body of research has shown flaws in such decisions made by machines. An AI program that set school schedules in Boston was scrapped after outcry from working parents and others who objected to its disregard of their schedules.
That’s why, at the M.I.T. Media Lab, we are starting to refer to such technology as “extended intelligence” rather than “artificial intelligence.” The term “extended intelligence” better reflects the expanding relationship between humans and society, on the one hand, and technologies like AI, blockchain, and genetic engineering on the other. Think of it as the principle of bringing society or humans into the loop.
Popular automated savings app Digit, which made messaging its primary interface in 2015, ditched the design model in recent months. While initially enamored by chatbots, Digit came to believe the question-and-answer interface was an inefficient way for its users to find out information.
Now, Credit Karma — which has 80 million users in the U.S. and Canada and sends lenders borrower leads — is going the opposite way. In mid-March, the San Francisco company bought Penny, a chatbot app developer formed in 2015 to help make personal finance more accessible, for an undisclosed sum. Credit Karma plans to sunset the brand name and integrate the conversational technology into its existing products and services.
Bristol Gate Capital Partners Inc., a Toronto-based firm with about C$1.1 billion ($850 million) under management, developed a platform to forecast dividend growth that’s evolved in the past decade from a “souped-up Excel model” to a machine-learning algorithm supplemented by fundamental analysis, said President Michael Capombassis.
The algorithm looks at roughly 500 factors to determine what drove dividend growth over the past 20 years and to predict what companies will exhibit those factors in the coming 12 months. Bristol Gate’s portfolio managers then apply fundamental analysis to choose the funds’ holdings from the model’s recommendations.
Google’s new fiber-optic cable is the latest in a series it has installed over the past 10 years to provide Internet connectivity and improve its services in places like Hong Kong, Taiwan, and Singapore. Although there are already over 300 undersea cables worldwide that are owned by various companies, they can’t provide the networking power that Google requires—especially to grow its cloud business overseas, Google’s principal engineer of networking architecture Vijay Vusirikala explained.
Many older undersea cables connect major cities like New York City to London. But because several of Google’s data centers are in more out-of-the-way places —at least for cable infrastructure—like Oregon or the Southeast, the company must build its own cable network.
Brainomix, an Oxford, England, UK-based medical imaging company using AI for the fast diagnosis and treatment of stroke victims, raised £7M in funding.
Led by Dr Michalis Papadakis, CEO, Brainomix is advancing e-ASPECTS, a flagship software solution that uses AI to provide a fast and standardized assessment of stroke patient CT scans, supporting treatment decisions by medical professionals.
If you’re a big enough fan of ramen, maybe you can look at a photo of a tonkotsu bowl on Instagram and immediately recognize which restaurant it’s from. But computers have us beat, as they can now identify the exact shop a menu item came from, out of 41 seemingly identical bowls of ramen from the same restaurant franchise.
Data scientist Kenji Doi did the delicious research, using Google’s AutoML Vision to classify every menu item from Ramen Jiro, a Tokyo-based chain of ramen shops. He gathered about 1,170 photos from each of the 41 shops, and fed the dataset of 48,000 ramen photos to the software. It took AutoML about 24 hours (18 minutes, in a less accurate Basic mode) to finish training the data, and the model was able to predict which shop the ramen came from with a 95 percent accuracy.