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The creators of Siri just showed off their next AI assistant, Viv, and it's incredible
Dag Kittlaus and Adam Cheyer created the artificial intelligence behind Siri, Apple's iconic digital assistant, and one of the first modern apps to capably handle natural language queries on a smartphone. Today the pair showed off their newest creation, Viv, a next generation AI assistant that they have been developing in stealth mode for the last four years. The goal was to create a better version of Siri, one that connected to a multitude of services, instead of routinely shuffling queries off to a basic web search. During a 20-minute demo onstage at Disrupt NYC, Viv flawlessly handled a dozen complex requests, not just in terms of comprehension, but by connecting with third-party merchants to purchase goods and book reservations. The major difference between Siri and Viv is that the latter is a far more open platform.
hackers.ai Applied AI Conference
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Machine learning accelerates the discovery of new materials
Researchers recently demonstrated how an informatics-based adaptive design strategy, tightly coupled to experiments, can accelerate the discovery of new materials with targeted properties, according to a recent paper published in Nature Communications. "What we've done is show that, starting with a relatively small data set of well-controlled experiments, it is possible to iteratively guide subsequent experiments toward finding the material with the desired target," said Turab Lookman, a physicist and materials scientist in the Physics of Condensed Matter and Complex Systems group at Los Alamos National Laboratory. Lookman is the principal investigator of the research project. "Finding new materials has traditionally been guided by intuition and trial and error," said Lookman."But with increasing chemical complexity, the combination possibilities become too large for trial-and-error approaches to be practical." To address this, Lookman, along with his colleagues at Los Alamos and the State Key Laboratory for Mechanical Behavior of Materials in China, employed machine learning to speed up the process.
5 Human Traits to Boost up Chatbots
In the aftermath and early demise of Tay, the Microsoft bot gone rogue, and the anti-climax following Facebook's bot announcements at F8, it's safe to declare that it's high time for chatbots to mature from infancy into puberty, and not a moment too soon. As the Bot Rush overwhelms Silicon Valley and bot miners are flocking into San Francisco, the future of AI and Bot productivity lies in the hands of engineers that are willing to take the hard road. We're hoping that creative and well thought out research will win, rather than leaning on pundits' advice suggesting that: "you can take a bot template, tweak it, and launch it- over a weekend." I dare to guess that's exactly what the Microsoft folks had in mind (perhaps more than a weekend in their case) when they let Tay roam Twitter unsupervised. For Bots to become'Must Haves', they'll have to dance to the tune of a few fundamental human traits and qualities, currently ignored in the hype and rush to easy fortunes.
Is AI 'the most important technology that anybody on the planet is working on today'?
How the world deals with the power and potential of artificial intelligence (AI) has been a hot topic of discussion in tech conferences in recent years. While some tout the benefits of AI to make life more convenient and change the future of technology, others worry about the unintended consequences and threat AI may bring to humanity. "AI is the most important technology that anybody on the planet is working on today," Dave Coplin, chief envisioning officer at Microsoft UK, said at a conference in London on 5 May, arguing that AI will change how humans relate to technology and each other. "I would argue that it will even change how we perceive what it means to be human," Coplin said, according to Business Insider. Given the numerous companies working to tap into machine intelligence, Coplin says people need to start paying attention to who is researching and developing the new technology.
Deepening Automation and AI in Insurance - Carrier Management
Insurers are increasingly under pressure to cut costs and offer better digital services to their customers. While core systems replacement and modernization activities close the gap to a degree, carriers are looking to a range of automation technologies to improve service, reduce costs and increase profits. One type of technology insurers are examining is artificial intelligence. This is a broad and decades-old discipline covering a range of technologies where machines demonstrate "intelligence." A challenge in artificial intelligence and psychology disciplines has been defining intelligence.
In a first, a BigLaw firm announces it will use artificial intelligence in one of its practice areas
Baker & Hostetler is the first law firm to announce that it will use a ground-breaking artificial intelligence product for legal research. The law firm will license Ross Intelligence in its bankruptcy practice, report the Am Law Daily (sub. The research product uses IBM's Watson technology, which is designed to get smarter as it is used. Ross responds to lawyers' questions in natural language by reading through the law, gathering evidence and drawing inferences. The program learns from the lawyers who use it to refine its search results.
Monkware -- Deeper Learning
The subtitle of the very first science-fiction novel was "The Modern Prometheus". And for as long as humanity has coveted the Fire of the Gods, we've also worried about our ability to wield our new powers, and control our own creations. Artificial Intelligence (AI) is our latest gift of Promethean Fire. As Chris Dixon explains, it's likely we're entering a new Golden Age of AI. For decades, the foundations of our civilisation have been technologies that have been intentionally programmed by human minds.
Resources for Machine Learning in Ruby
I have only just started using it in a tiny experiment, so I really can't really tell more than that. On a side note GSoC rejected a project for implementing a Ruby API for the popular TensorFlow library, but initial steps are being made for privately founding it. You can see discussion here: tensorflow/tensorflow#50 (comment). Maybe it could be helpful to have this listed here too, in order to drag even more people and attention to that, given the importance of that library.
Behold.ai launches artificially intelligent medical software to find abnormalities faster
Jeet Raut's mom was told she no longer had breast cancer. But it turned out to be a false diagnosis and she had to undergo further treatment. She's okay now, but that medical mistake could have cost her life and it gave Raut the idea to build a better way to catch medical abnormalities in the body. He and his co-founder Peter Wakahiu Njenga created Behold.ai to speed up the process of finding cancers and minimize human error. "The idea behind Behold.ai is to increase efficiency," Raut told TechCrunch.