|Industry||Artificial Intelligence, Natural language processing|
|Headquarters||Montreal, Quebec, Canada|
In late March 2016, the company demonstrated a machine reading system capable of answering arbitrary questions about J.K Rowling’s Harry Potter and the Philosopher’s Stone. Maluuba's natural language understanding technology is used by several consumer electronic brands for over 50 million devices.
Maluuba was founded by two undergraduate students from the University of Waterloo, Sam Pasupalak and Kaheer Suleman. Their initial proof of concept was a program that allowed users to search for flights using their voice.
In August 2015 Maluuba secured a $9 million of Series A investment from Nautilus Ventures and Emerllion Capital. Then in December 2015, Maluuba opened an R&D lab in Montreal, Quebec.
On January 13, 2017, Maluuba announced they had been acquired by Microsoft for $140M. In July 2017, according to the reports, Maluuba closed its Kitchener-Waterloo office and moved employees to its Montreal office.
Maluuba's research centre opened in Montreal, Quebec in December 2015. The lab is advised by Yoshua Bengio (University of Montreal) and Richard Sutton (University of Alberta). The lab has published fifteen peer-reviewed papers discussing some of its recent research. The lab also partners with the University of Montreal MILA lab and McGill University.
In late 2016 the company released two natural language datasets: NewsQA, focused on comprehension and Frames, focused on Dialogue.
Maluuba has achieved 80% accuracy on the machine reading benchmark MCTest, outperforming other word-matching approaches by 8%, and surpassed the previous benchmark set for deep learning techniques, the DSTC2, by 3%, bringing it to 83%.
In June 2016, the company demonstrated a program called EpiReader which outperformed Facebook and Google in machine comprehension tests. Several research teams were able to match Maluuba's results since the paper was released. EpiReader made use of two large datasets, the CNN/Daily Mail dataset released by Google DeepMind, comprising over 300,000 news articles; and the Children's Book Test, posted by Facebook Research, made up of 98 children’s books open sourced under Project Gutenberg.
The company has published research findings into dialogue systems which comprises natural language understanding, state tracking, and natural language generation. Maluuba published a research paper on policy manager (decision maker) where the system is rewarded for a correct decision. In 2016, Maluuba also freely released the Frames dataset, which is a large human-generated corpus of conversations.
The company conducts research into reinforcement learning in which intelligent agents are motivated to take actions within a set environment in order to maximize a reward. The research team has also published several papers on scalability.
Numerous applications for Maluuba's technology have been proposed in industry with several applications being commercialized.
One of the first applications of Maluuba's natural language technology has been the smartphone assistant. These systems allow users to speak to their phone and get direct results to their question (instead of merely seeing a sea of blue web links that point to possible answers to their question). The company raised $9M in 2015 to bring their voice assistant technology to automotive and IOT sectors.
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- Harm van Seijen; Fatemi, Mehdi; Romoff, Joshua; Laroche, Romain; Barnes, Tavian; Tsang, Jeffrey (2017). "Hybrid Reward Architecture for Reinforcement Learning". arXiv:1706.04208
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