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Microsoft buys deep-learning startup Maluuba ZDNet

#artificialintelligence

In its first aquisition of calendar 2017, Microsoft announced plans to buy Montreal-based deep-learning startup Maluuba for an undisclosed amount. Maluuba has done work in natural-language understanding and reinforcement learning. Harry Shum, Microsoft executive vice president of the company's Artificial Intelligence and Research Group, explained a potential scenario where Maluuba's technology could help this way: While privacy and regulation will slow the pace of adoption, AI will bring some profound changes to healthcare. Yoshua Bengio, an advisor to Maluuba and head of the Montreal Institute for Learning Algorithms, also will be advising Microsoft and interacting directly with Shum as part of the deal. Microsoft created the combined Artificial Intelligence and Research Group last September concurrently with the departure of executive vice president Qi Lu, who previously led the combined Office and Bing organizations.


Google's DeepVariant Deep-Learning Technology Goes Open Source

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This online seminar will discuss a predictive, multiscale framework that can be used to understand the health of an individual at the molecular, cellular, organ, organism and community scales in order to better diagnose, treat, and prevent disease at a highly personalized level.


Deep Learning Startup Maluuba's AI Wants to Talk to You

IEEE Spectrum Robotics

Apple's personal assistant Siri is more of a glorified voice recognition feature of your iPhone than a deep conversation partner. A personal assistant that could truly understand human conversations and written texts might actually represent an artificial intelligence capable of matching or exceeding human intelligence. The Canadian startup Maluuba hopes to help the tech industry achieve such a breakthrough by training AI to become better at understanding languages. The key, according Maluuba's leaders, is building a better way to train AIs. Like humans, AI can only get better at understanding languages by practicing.


Deep Learning Startup Maluuba's AI Wants to Talk to You

#artificialintelligence

Apple's personal assistant Siri is more of a glorified voice recognition feature of your iPhone than a deep conversation partner. A personal assistant that could truly understand human conversations and written texts might actually represent an artificial intelligence capable of matching or exceeding human intelligence. The Canadian startup Maluuba hopes to help the tech industry achieve such a breakthrough by training AI to become better at understanding languages. The key, according Maluuba's leaders, is building a better way to train AIs. Like humans, AI can only get better at understanding languages by practicing.


Evolutionary algorithm outperforms deep-learning machines at video games

#artificialintelligence

With all the excitement over neural networks and deep-learning techniques, it's easy to imagine that the world of computer science consists of little else. Neural networks, after all, have begun to outperform humans in tasks such as object and face recognition and in games such as chess, Go, and various arcade video games. These networks are based on the way the human brain works. Nothing could have more potential than that, right? An entirely different type of computing has the potential to be significantly more powerful than neural networks and deep learning.