"Maluuba reached its historic high score by breaking up the problem. Instead of having one agent use reinforcement learning to try and digest all the game’s complexity into a single strategy, researchers created a crowd of more than 150 learning agents"
"The system also uses reinforcement learning, where each action is associated with either a positive or negative response. The agents then learn through trial and error. In all, the process was trained using more than 800 million frames of the game."
"Researchers with deep learning company Maluuba, which Microsoft acquired earlier this year, decided to tackle the deceptively simple arcade game after developing an unusual AI algorithm that uses a team of intelligent agents overseen by a manager agent to play Ms. Pac-Man.
"Maluuba taught the AI using what they call Hybrid Reward Architecture — a combination of reinforcement learning with a divide-and-conquer method. Individual agents were assigned piecemeal tasks — like finding a specific pellet — which worked in tandem with other agents to achieve greater goals."
"Maluuba's decentralized approach to AI could see applications in the worlds of sales and finance in the future though, where algorithms must similarly deal with a host of random variables at once."
"AI that cuts its teeth on Ms. Pac-Man could go on to make complex decisions in business environments – such as coming up with call lists for sales executives by prioritizing clients based on known information about their histories and schedules – that end up saving human resources valuable time."
"With reinforcement learning, an agent gets both positive and negative responses and learns through trial and error to maximise the positive ones. Increasingly, reinforcement learning is being seen as a way to create AI that can make more autonomous decisions and perform more complex tasks."
"Breaking up complex problems into simpler, smaller problems can make it much easier for deep learning systems to be able to handle more complex behavior. That, in turn, could be applied to lots of real-world tasks that AI could be applied to in the future."
"Instead of having one algorithm learn one complex problem, [Maluuba's] AI distributes learning over many smaller algorithms, each tackling simpler problems. This research could be applied to other highly complex problems, like financial trading, according to the company."
"This technique could be used by a sales team to figure out which clients need their attention most at any given time throughout the week or even day."
"Maluuba is working to crack one of the holy grails of deep learning: teaching machines to read like the human brain does."
"Montreal’s rich talent pool is a major reason Waterloo, Ont.-based language-recognition startup Maluuba decided to open a research lab in the city."
"Sam Pasupalak and fellow Waterloo student, Kaheer Suleman, realized that artificial intelligence could change everything again, and they wanted to be at the leading edge of that future."
"One of the best ways to learn something is by asking informative questions. And now Microsoft’s Maluuba team is applying that logic to machine learning."
"In practice, Maluuba’s question generator could be turned into a rather meta system for training other machine learning models by intentionally collecting new information."
"The technology would also help people who need to search through a very large amount of information find that one specific piece of data they need. For instance, it could help people more quickly find information hidden in car manuals or tax regulations."
"With Maluuba, Microsoft is going beyond the concepts of image recognition and machine learning to make artificial intelligence smarter, and building systems that can read text, comprehend the context behind it and even ask and answer questions."
"Maluuba wants to solve the problem of text understanding, building machines that can read and write. It’s building machines that can reason with text and effectively communicate with people."
"We focus on the next generation of deep learning which is language... You can imagine this kind of technology across many industries."
"Microsoft Corp. is buying into Canada’s artificial intelligence research community with a deal to purchase Maluuba, a deep-learning and AI– technology startup.
"Maluuba is effectively trying to teach leadership to groups of machines working to solve problems…. Maluuba will play a huge role in analyzing text and the language held within it."
"Sam Pasupalak and Kaheer Suleman, the Co-founders of Maluuba share their vision of the future of machine learning."
“Following its acquisition of Montreal-based Maluuba… Microsoft announced that it will be growing its R&D office to double the size over the course of the next two years.”
"One week after buying the startup company Maluuba, Microsoft said Wednesday it will double the size of the company’s Montreal office within two years."
"Microsoft just bought an AI startup that can outperform Facebook and Google. Maluuba brings a deep learning pioneer into the fold at Microsoft."
"[Maluuba's] work will help with Microsoft’s broad goal of making AI more accessible and useful to the general public."
"Microsoft, like many of its competitors, is racing to beef up its artificial-intelligence capabilities. It has acquired Artificial Intelligence Startup Maluuba."
"Microsoft is buying Maluuba, a Canadian startup focused on giving software a better understanding of human language. This natural language processing technology is a key underpinning of artificial intelligence."
"Microsoft today announced that it has acquired Maluuba, a research-oriented startup focusing on deep learning, a type of artificial intelligence (AI)."
"Microsoft has purchased Maluuba, [an] artificial intelligence startup based in Montreal, in its quest to build better, smarter artificial intelligence that can be used in the workplace."
"Maluuba is delving deep into building AI that can not only understand human language but also communicate effectively, with dozens of applications and opportunities for further research on the horizon."
"if we can create thinking robots, what rights will they have, and who will enforce them?"
"Maluuba is leading the way in teaching machinesto think, reason and communicate just like we do thanks to a growing research and learning lab in Montreal."
"One Montreal startup is teaming up with McGill University’s Reasoning and Learning Lab to attack another goal: teaching machines to understand common sense."
"Maluuba has also made its new datasets publicly available to other researchers in the hopes of boosting the state of machine comprehension technology across the industry."
"This Startup Is Teaching Machines To Think, Reason, And Communicate Like Us. The applications of this technology—once commercialized—are obvious and wide-ranging"
"Customers will expect to interact with chatbots in the same way they interact with people... To handle this, Maluuba is focused on building intelligent virtual agents using deep supervised and reinforcement learning"
"Maluuba wants to make chatbots smarter by teaching them how to read."
“Maluuba's results show that, in the near future, machines could be able to understand text like we do.”
"For the fields of machine learning and artificial intelligence, this is a major breakthrough."
“Maluuba has made progress with an algorithm that can read text and answer questions about it with impressive accuracy.”
“The Maluuba team thinks they can translate this level of “thinking” into a virtual personal assistant that knows more about what the user wants, and is able to be more effective.”
“This type of technology could one day help humans sift through documents quickly to find the small bits of buried information they need by simply typing a question in conversational English.”
“A startup called Maluuba, which makes technology that helps computers talk, is opening a research office in Montreal... "