It has since been updated to include the most relevant information available.] Before we know it, AI will be part of our everyday lives. Market experts say artificial intelligence will lead the next wave of economic growth and productivity for at least the next couple of decades. But many AI stocks have earned a cautious outlook from the Street. We all know the strengths and weaknesses of stocks like Nvidia (NASDAQ:NVDA), Advanced Micro Devices (NASDAQ:AMD) and Tesla (NASDAQ:TSLA), but their challenges are separate from some other heavily AI-influenced stocks.

For the past several years, Microsoft researchers have been focused on finding ways to make commercial use of machine-reading technology. It looks like some of that work is about to become commercialized in the form of bringing machine-reading comprehension into search results. Based on information in Microsoft's Ignite conference session list, Microsoft may be ready to show this off as soon as next week. Machine-reading comprehension involves the automatic understanding of text. It involves computer vision, natural-language understanding and other technologies.

Yoshua Bengio has never been one to take sides. As one of the three intellects who shaped the deep learning that now dominates artificial intelligence, he has been catapulted to stardom. It's a field so new the people who can advance it fit into one room together, and everyone--from tech startups to...

Who has time to read every article they see shared on Twitter or Facebook, or every document that's relevant to their job? As information overload grows ever worse, computers may become our only hope for handling a growing deluge of documents. And it may become routine to rely on a machine to analyze and paraphrase articles, research papers, and other text for you. An algorithm developed by researchers at Salesforce shows how computers may eventually take on the job of summarizing documents. It uses several machine-learning tricks to produce surprisingly coherent and accurate snippets of text from longer pieces.

Maluuba is an increasingly rare beast in the burgeoning world of artificial intelligence. Founded in 2012, the Waterloo-headquartered startup has yet to be acquired by one of the many massive tech companies investing heavily in AI. Nor has Maluuba been raided for its talent, which is very much in demand. Rather, the small artificial intelligence startup is now home to more than 50 employees and growing -- and for prospective hires weighing opportunities with larger firms, co-founder Mohamed Musbah thinks he has a pretty good pitch. Maluuba is trying to train computers to understand language, whether in conversation with a human, or when reading a document or other source of text.

There are increasing calls for government oversight of artificial intelligence development. Artificial intelligence (AI) promises to have a huge and positive impact on our world – but, it also brings with it complex issues that we have never had to face as a society before. AI sounds alarm bells for some people, who are frightened that AI will bring about a real threat to humanity, learning our worst traits, intensifying inequalities and triggering weapons of mass destruction. Others believe AI will take people's jobs and discriminate against the vulnerable in society. Kevin Kelly, author and founder executive editor of Wired believes these anxieties are deep rooted because they link our intelligence to our identity, but that they can be overcome.

Just when you thought you were getting to know Microsoft (MSFT) it goes and changes personalities. Actually, the new-and-improved Microsoft has been making itself known for quite some time with a minimal amount of fanfare - it only became officially official last week. In that the shift is apt to make in an increasingly big difference in the company's results though, fans and followers of the company would be wise to take a closer look at what Microsoft has become. And what is this new focal point for CEO Satya Nadella? Take it with a grain of salt, because corporate slogans are as much of a sales pitch as they are an ambition anymore.

An algorithm developed by researchers at Salesforce shows how computers may eventually take on the job of summarizing documents. The system learns from examples of good summaries, an approach called supervised learning, but also employs a kind of artificial attention to the text it is ingesting and outputting. Kristian Hammond, a professor at Northwestern University, and the founder of Narrative Science, a company that generates narrative reports from raw data, says the Salesforce research is a good advance, but it also shows the limits of relying purely on statistical machine learning. A startup called Maluuba, which was acquired earlier this year by Microsoft, recently produced a system capable of generating relevant questions from text.

In the latest sign of artificial intelligence (AI)'s eventual dominance of the workplace, a Canadian deep learning startup-turned-division of Microsoft Corp. has successfully created an AI-based system that achieved the maximum possible score on Ms. Pac-Man. That might not sound like the most complicated task in the world – especially since the edition in question was the Atari 2600 version and not the arcade original – but as Microsoft senior writer Allison Linn explains in a recent blog post, the challenge facing researchers at Montreal-based Maluuba was more daunting than you might think. "A lot of companies working on AI use games to build intelligent algorithms because there's a lot of human-like intelligence capabilities that you need to beat the games," Maluuba program manager Rahul Mehrotra explains in the story, noting that the variety of situations you can encounter while playing the games makes them a good testing ground. In other words, the techniques used to develop the AI-driven Ms. Pac-Man master (or is that mistress?) Like many of its ilk, Ms. Pac-Man was intentionally designed to be easy to learn yet nearly impossible to master so that players would keep dropping in quarters, with co-creator Steve Golson noting that Ms. Pac-Man in particular was programmed to be more random than the original Pac-Man, so it would be harder for players to finish.

A Microsoft artificial intelligence has achieved the ultimate high score in Ms. Pac-Man, maxing out the counter at just under a million points. With its randomly-generated ghost movements, Ms. Pac-Man has proven a tough nut for AI to crack, as it cannot simply learn the patterns that govern the ghosts' movements. Maluuba, an artificial intelligence company recently acquired by the tech giant, succeeded in outwitting the hungry ghosts by breaking their gaming algorithm into around 160 different parts. They say it took less than 3,000 rounds of practice to achieve the feat, something never done by a human. The researchers didn't even know what would happen when they hit seven figures, Wired reports.