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Artificial Intelligence (AI) pioneer Nvidia has announced it will train 100,000 developers in "deep learning" to bolster health care research and improve treatment in diseases like cancer. Deep learning is Nvidia's term for machine learning, the idea of pushing computers to learn the way a human would in order to progress what many are calling the next revolution in technology – machines that "think" like humans. Over the past decade, it's given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. In the past, cancer research institutes have looked into using Nvidia's latest advances in AI and deep learning to help pathologists with their overwhelming tasks. One project, Led by Andrew Beck, associate professor of pathology and director of bioinformatics at BIDMC, used an Nvidia Tesla K80 GPU supercomputer chip to speed up the process of training their computational models in breast cancer diagnosis.

Australian Securities Exchange-listed Internet of Things (IoT) company Xped has announced that it is purchasing fellow Adelaide-based artificial intelligence (AI) company Jemsoft for AU$200,000 in cash and 50 million Xped shares. The total value of the deal comes to AU$900,000, with Xped shares priced at 14 cents per share. In addition to acquiring all of Jemsoft's intellectual property -- including its computer vision machine-learning technology, Monocular API -- Xped will also gain ownership of 51 percent of Jemsoft's partially owned subsidiary Media Intelligence, which offers media measurement technologies and real-time research solutions. The acquisition will allow Xped -- which offers a platform that enables consumers of all technical capabilities to connect, monitor, and control everyday devices and appliances through their smartphones -- to provide an in-house AI solution to clients looking to enhance their IoT products using visual sensors. Monocular's account management and dashboard components, as well as its user-trainable functionality, will become "integral components" of Xped's smart home and other IoT offerings moving forward, the companies said.

The two largest semiconductor companies in the world, Intel (NASDAQ:INTC) and Qualcomm (NASDAQ:QCOM), share a long rivalry, even though they specialize in and dominate different areas of the global processor market. So let's examine Qualcomm and Intel in three important areas to find which stock looks like the better buy today. Through the power of their business franchises, Intel and Qualcomm each earn a clean bill of financial health. The companies excel in these measures of financial fortitude in different regards. When it comes to net cash -- financial shorthand for cash and investments minus debt -- Qualcomm's $17.1 billion in net cash is miles ahead of Intel's $8.4 billion in net debt.

Nvidia posted a higher than expected revenue in the first quarter of the fiscal year 2018. The graphics company not only managed to beat analysts' expectation but also reported substantial revenue growth across its major business segments. For the first quarter, Nvidia recorded quarterly earnings of $1.94 billion, a huge 48 percent jump compared to the same period last year and also slightly higher than Wall Street's revenue expectations of $1.91 billion. Contributing to this huge revenue jump are the massive gains made in its gaming GPU business and the improved financial performance of its automotive and data center businesses. Nvidia also saw huge gains in its operating income and net income figures, with increases of 126 percent and 144 percent respectively.

Ladies and gentlemen, thank you for standing by, and welcome to Nuance's Second Quarter Fiscal 2017 Conference Call. At this time, all lines are in a listen-only mode. Later, there'll be an opportunity for your questions, and instructions will be given at that time. As a reminder, this conference is being recorded. With us today from Nuance are Chairman and CEO, Paul Ricci; CFO, Dan Tempesta; EVP of Corporate Strategy and Development, Bruce Bowden; and Director of Investor Relations, Christine Marchuska. Now, I would like to turn the call over to Ms. Marchuska. Before we begin, I remind, everyone, our discussion this afternoon includes predictions, estimates, expectations, and other forward-looking statements. These statements are subject to risks and uncertainties that could cause material differences in our actual results. Please refer to our recent SEC filings for a discussion of these risks.

ServiceNow is bringing enhanced machine-learning capabilities to its Now Platform for business process automation to help customers prevent outages, automatically route service requests, and predict and benchmark IT performance. The AI capabilities will be offered through the upcoming Intelligent Automation Engine, announced at the company's Knowledge conference in Orlando Tuesday. The move strengthens ServiceNow's base in IT management while making further inroads into other areas of the enterprise. The machine-learning capabilities will be brought into ServiceNow's cloud services for security, customer service, and HR. The Intelligent Automation Engine's algorithms are based on technology the company acquired through its purchase of DxContinuum in January.

On a February evening in 2011, Watson--a supercomputer with artificial intelligence created by International Business Machines Corp.--made history when it beat humans in a game of cognitive intelligence. These were longtime "Jeopardy" champions, deemed among the most intelligent human contestants to ever grace the game show stage. The Watson win was a major win for IBM IBM, -2.51% at the time, underscoring its transition to a new-age technology company with artificially-intelligent computers. It sent a clear message that IBM was no longer an aging legacy hardware company crippling under newer competition, but a bellwether of innovation yet to come in the realms of AI and big-data analytics. Read also: Is hyperconvergence the next big thing in tech?

This article originally appeared on the Motley Fool. Match Group (NASDAQ:MTCH) reported first-quarter results on May 2. The parent company of Tinder and Match.com Match Group's board of directors authorized a stock buyback program of up to 6 million shares of Match's stock. Our stock has tended to fluctuate fairly meaningfully, and the buyback authorization enables us to take action if the circumstances warrant. This is not a buyback authorization where we plan to go into the market aggressively.

My name is Michelle and I will be your conference moderator for today. At this time, all participants are in a listen-only mode. We will conduct a question-and-answer session towards the end of this conference. We will expect the call to conclude in an hour. As a reminder, this call is being recorded for replay purposes. I would now like to turn the call over to Roger Sachs, Head of Investor Relations at Genpact. Good afternoon, everyone, and welcome to Genpact's first quarter earnings call to discuss our results for quarter ended March 31, 2017. We hope you have had a chance to review our earnings release which was posted to the IR section of our website, genpact.com. With me in New York today are Tiger Tyagarajan, our President and Chief Executive Officer; and Ed Fitzpatrick, our Chief Financial Officer. Our agenda today will be as follows: Tiger will provide a high level overview of our results, as well as update you on some of our strategic initiatives. Ed will then discuss our financial performance for the quarter in greater detail. Tiger will then come back for some closing comments and then we will take your questions. And as Michelle just said, we expect the call to last about an hour. Please note, the year-over-year growth rates discussed today include the impact of the reclassifications of the divested GE Capital businesses to Global Client revenue as if these transactions occurred on January 1, 2016. This was done to provide a consistent view of the underlying growth trends of our business. The actual results without these adjustments are included in our earnings release. Some of the matters we will discuss in today's call are forward-looking. These forward-looking statements involve a number of risks, uncertainties and other factors that could cause actual results to differ materially from those in such forward-looking statements. Such risks and uncertainties are set forth in our press release. In addition, during our call today we will refer to certain non-GAAP financial measures which we believe provide additional information to investors and better reflect the way management views the operating performance of the business. You can find a reconciliation of these measures to GAAP in our earnings release in the IR section of our website.