Have you seen sci-fi movies like A.I. Artificial Intelligence, a 2001 US science fiction drama directed by Steven Spielberg that portrays a childlike android programmed to love, or Bicentennial Man, which starred the late Robin Williams and was based on a 1976 novel by Isaac Asimov? Have you seen the movie Surrogates which starred Bruce Willis and portrayed a futuristic world where people live within the safety of their homes while their robotic surrogates carry on their daily chores? If yes, you are also likely to believe that machines endowed with artificial intelligence (AI) can emulate, or even surpass, human intelligence. However, nothing can be further from the truth, say researchers. "The frightening, futurist portrayals of artificial intelligence that dominate films and novels, and shape the popular imagination, are fictional… Unlike in the movies, there is no race of superhuman robots on the horizon or probably even possible," insists a Stanford University-hosted report.

At this time, all participants are in a listen-only mode. A brief question-and-answer session will follow the formal presentation. It is now my pleasure to introduce your host Ken Stillwell, CFO and Senior VP of Pegasystems. Before we begin, I'd like to read our Safe Harbor Statement. Certain statements contained in this presentation, including but not limited to, statements related to future earnings, bookings, revenue and mix of license revenue may be construed as forward-looking statements as defined by the Private Securities Litigation Reform Act of 1995. The words expects, anticipates, intends, plans, believes, could, estimates, may, targets, strategies, intends to, projects, forecasts and guidance, and other similar expressions, identify forward-looking statements, which speak only as of the date the statement was made and are based on current expectations and assumptions. Because such statements deal with future events, they are subject to various risks and uncertainties. Actual results for the fiscal year 2016 and beyond could differ materially from the Company's current expectations. Factors that could cause the Company's results to differ materially from those expressed in the forward-looking statements are contained in the Company's press release announcing its Q3 2016 earnings, and in the Company's filings with the Securities and Exchange Commission, including its quarterly report on Form 10-Q for the quarter ended September 30, 2016, its Annual Report on Form 10-K for the year ended December 31, 2015 and other recent filings with the SEC. Although subsequent events may cause the Company's view to change, the company undertakes no obligation to revise or update forward-looking statements, whether as a result of new information, future events or otherwise, since these statements may no longer be accurate or timely. And with that, I'll turn the call over to Alan Trefler, Founder and CEO of Pegasystems. I'm pleased it was a strong Q3, overall. Q3 is generally provide limited visibility given vacations and schedules especially in Europe. And I had spoken about Brexit on the last call and I'm pleased to say that concerns have not materialized with the exception of currency of course. And I'm pleased to see the continued progress we're making towards having less lumpy quarters despite the inherent lumpiness of this business, even in the face of those currency headwinds. Those currency headwinds caught a couple of points off of our results.

WASHINGTON – It's a scary world out there, risk experts agree, but they say Donald Trump and Hillary Clinton often focus on the wrong dangers -- fixing on hazards that are unlikely, or unlikely to cause massive pain. The Associated Press asked 21 risk experts to analyze the presidential campaign and list what they consider the five biggest threats to the world. Climate change topped the list with 17 mentions, often as the top threat. It was followed by use of nuclear weapons, pandemics, cyberattacks and problems with high technology. Neither Trump's signature issues of immigration and terrorism nor Clinton's major concerns, financial insecurity and gun violence, made the list. "I have not heard or read about any significant deliberations of the major risks that face our country today and tomorrow.

When you want a person to do something, you train them. When you want a computer to do something, you program it. However, there are ways to make computers learn, at least in some situations. One technique that makes this possible is the perceptron learning algorithm. A perceptron is a computer simulation of a nerve, and there are various ways to change the perceptron's behavior based on either example data or a method to determine how good (or bad) some outcome is.

From stopping cyberattacks to operating autonomous vehicles to visually searching through a wine database, 140 startups using AI as a core part of their products raised $958M in funding in Q3'16, making it the second-highest quarter for funding after Q2'16. Since 2012, deals and dollars to AI startups have been on a steady rise, and this year is extending that trend. Our AI category includes companies applying AI solutions to verticals like healthcare, security, advertising, and finance as well as those developing general-purpose AI tech. Our list excludes robotics (hardware-focused) and AR/VR startups, which we've analyzed separately here and here. Our analysis includes all equity funding rounds and convertible notes.

As the ethical and policy issues surrounding artificial intelligence and other computing technologies take center stage, global law firm K&L Gates LLP has made a gift to help ensure Carnegie Mellon University's leadership in this emerging field. The $10 million gift will establish the K&L Gates Endowment for Ethics and Computational Technologies. The funds will support new faculty chairs as well as three new Presidential Fellowships for doctoral students; a biennial conference; the K&L Gates Presidential Scholarship Endowed Fund to recognize undergraduate students' outstanding achievements and potential for further excellence; and an annual K&L Gates Prize to be awarded to a graduating CMU senior. "We are deeply grateful to K&L Gates for this generous support," said Carnegie Mellon President Subra Suresh. "It is not just technology that will determine how this century unfolds. Our future will also be influenced strongly by how humans interact with technology, how we foresee and respond to the unintended consequences of our work, and how we ensure that technology is used to benefit humanity, individually and as a society. "By its history and its current leadership in these fields, Carnegie Mellon is uniquely positioned to examine these questions, and make lasting contributions.

Add Adobe Systems to the list of software companies proclaiming themselves to be artificial intelligence powers. It's in august company: IBM ibm, Microsoft, Salesforce crm are all wrapping themselves in the artificial intelligence (aka AI) mantle. On Wednesday, Adobe adbe will show off Sensei, an array of AI technology that it is already adding to software applications for creating and publishing documents, and for analyzing and tracking web and mobile application performance. "Sensei" is the Japanese term for a respected teacher or leader. Adobe founded in 1982, is a venerable force in the creative software world--it's behind familiar tools including the Portable Document Format (PDF) used to format and distribute professional-looking documents; Photoshop for editing photographs; Illustrator for creating graphics; and InDesign for creating professional-looking documents for print or online.

Many vendors like Cisco and Intel are proponents of Edge Processing (also called Edge computing). The main idea behind Edge Computing is to push processing away from the core and towards the Edge of the network. For IoT, that means pushing processing towards the sensors or a gateway. This enables data to be initially processed at the Edge device possibly enabling smaller datasets sent to the core. Devices at the Edge may not be continuously connected to the network.

Those new glasses make you look completely different – especially to face recognition software. A team of researchers from Carnegie Mellon University has fooled face recognition algorithms using the oldest trick in the book: a pair of fake glasses. By printing bespoke patterns onto the front of the frames, they enabled wearers not only to obscure their identity but to impersonate people who look completely different, at least in the eyes of the algorithms. A white male researcher wearing the glasses was able to pass for American actress Milla Jovovich while a South-Asian female colleague was digitally disguised as a Middle-Eastern male. The system wasn't perfect, however: a Middle-Eastern male trying to use the glasses to pass as white British actor Clive Owen only succeeded 16 per cent of the time.