Skip to main content

Microsoft buys Maluuba’s AI technology to improve its reading comprehension

Microsoft continues to build artificial intelligence into its various products, from the personal AI assistant Cortana to Microsoft Translator to the Azure cloud computing platform. The company has a number of its own internal AI research products, but sometimes that is just not enough.

Because it needs AI capabilities that are sometimes very specific, Microsoft is not averse to going out and buying technology to meet particular requirements. Such is the case with Maluuba, a startup that is working on applying deep learning to solve problems in natural language processing, according to the Microsoft blog.

Recommended Videos

Maluuba is a Toronto-based company that has an AI system that is capable of providing text-based reading and comprehension skills that are almost as good as what humans can accomplish. The company has been a competitor of Facebook and Google, which are working on similar systems. Microsoft has a number of applications for Maluuba’s technologies, not the least of which would be making Cortana more human-like at looking at our information — such as email messages — and providing real-world assistance.

Please enable Javascript to view this content

According to the Microsoft Blog, Microsoft wants to make its systems as good at reading and writing text as they are at speech and image recognition. “Maluuba’s vision is to advance toward a more general artificial intelligence by creating literate machines that can think, reason and communicate like humans — a vision exactly in line with ours. Maluuba’s impressive team is addressing some of the fundamental problems in language understanding by modeling some of the innate capabilities of the human brain, from memory and common sense reasoning to curiosity and decision making.”

Microsoft presents an example of how Maluuba’s technology could make us more productive, specifically asking an AI assistant based on Maluuba’s machine comprehension capabilities to find the top tax-law experts in an organization. The assistant would be able to scan through the organization’s documents and emails and determine which employee has actually demonstrated the most relevant knowledge.

With Maluuba, we can now expect Cortana to be just as good at reading our information as she is at understanding us when we speak to her. That could make Microsoft’s various productivity tools just as good as us at sifting through our information and finding only the most important bits — as well as doing so proactively and perhaps becoming even better at predicting what we need.

Mark Coppock
Mark Coppock is a Freelance Writer at Digital Trends covering primarily laptop and other computing technologies. He has…
DeepSeek AI draws ire of spy agency over data hoarding and hot bias
DeepSeek AI chatbot running on an iPhone.

The privacy and safety troubles continue to pile up for buzzy Chinese AI upstart DeepSeek. After having access blocked for lawmakers and federal employees in multiple countries, while also raising alarms about its censorship and safeguards, it has now attracted an official notice from South Korea’s spy agency.

The country’s National Intelligence Service (NIS) has targeted the AI company over excessive collection and questionable responses for topics that are sensitive to the Korean heritage, as per Reuters.

Read more
Turns out, it’s not that hard to do what OpenAI does for less
OpenAI's new typeface OpenAI Sans

Even as OpenAI continues clinging to its assertion that the only path to AGI lies through massive financial and energy expenditures, independent researchers are leveraging open-source technologies to match the performance of its most powerful models -- and do so at a fraction of the price.

Last Friday, a unified team from Stanford University and the University of Washington announced that they had trained a math and coding-focused large language model that performs as well as OpenAI's o1 and DeepSeek's R1 reasoning models. It cost just $50 in cloud compute credits to build. The team reportedly used an off-the-shelf base model, then distilled Google's Gemini 2.0 Flash Thinking Experimental model into it. The process of distilling AIs involves pulling the relevant information to complete a specific task from a larger AI model and transferring it to a smaller one.

Read more
Sundar Pichai says even more AI is coming to Google Search in 2025
Google Search on a laptop

Google will continue to go all in on AI in 2025, CEO Sundar Pichai announced during the company's Q4 earnings call Wednesday. Alphabet shares have since dropped more than 7% on news that the company giant fell short of fourth-quarter revenue expectations and announced an ambitious spending plan for its AI development.

"As AI continues to expand the universe of queries that people can ask, 2025 is going to be one of the biggest years for search innovation yet,” he said during the call. Pichai added that Search is on a “journey” from simply presenting a list of links to offering a more Assistant-like experience. Whether users actually want that, remains to be seen.

Read more