The kidnapping of Tennessee teen Elizabeth Thomas allegedly by his ex-teacher Tad Cummins will be the point of discussion at Friday's 20/20 show. The show will focus on Cummins' months on the run and what will happen next to the 50-year-old, who was arrested mid-April. The 15-year-old former student of Cummins went missing in March and was found in a remote part of northern California, more than a month after her disappearance. Elizabeth was reunited with her family, while Cummins was arrested. He has been charged with kidnapping and transporting a minor across state lines with the intention to engage in sexual activity.

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.

Twitter's (TWTR) investment in computers that function like a human brain is paying off, in more ways than one. Aside from helping to draw people back to the social media website, the company's growing status in artificial intelligence (AI) is also attracting attention from high profile investors. In an interview with CNBC's Squawk Alley, billionaire businessman Mark Cuban confirmed that he has recently been buying Twitter stock, as well as shares in other big names that work in AI, deep learning and machine learning, such as Amazon (AMZN) and Netflix (NFLX). In the interview, which sent the company's embattled shares up 4 per cent, Cuban claimed that firms specializing in AI are likely to experience better productivity and higher revenues off a smaller workforce, which should subsequently boost earnings. Cuban's encouraging comments came after the social media giant credited better than expected quarterly earnings to machine learning techniques.

Chris began his new role this April after nearly three years as head of digital services at the Getty Research Institute, where he oversaw the digitization of its vast trove of books and special collections materials. Chris came to the Getty from the Yale University Libraries, where he was the digital projects manager, and Beinecke Library digital studio production manager before that. A photographer, tinkerer, and self-described "imaging guy," Chris is as enthusiastic about process--ask him about improving inefficient workflows!--as he is about innovation in 3D scanning and technical imaging. I asked Chris about the new role (which comes with its own acronym, by the way), and what projects we can expect to see from the Getty in his first year. What does the IDMA do?

In 2001, a group of Physicists were awarded the Nobel prize in Physics for creating an experiment that produced the Bose Einstein Condensate(BEC). The BEC is a state of Matter in an extremely cold state, close to absolute zero(that is, very near 0 K or 273.15 C), first theorized by Satyendra Nath Bose and Albert Einstein in 1925. In the 2001 Noble Prize winning experiment, the physicists created the first BEC in a lab by shooting multiple lasers at Gas particles from different directions. After meticulous calculations and planning, they carefully calibrated a series of lasers to achieve this.

Throughout 2017, I have been running polls on the public's appetite for risk regarding the pursuit of superintelligence. I've been running these on Surveymonkey, paying for audiences so as to minimize distortions in the data. I've spent nearly $10,000 on this project. I did this in about the most scientific way I could. It is not a "passed around" survey, but rather paid polling across the entire American spectrum.

Mo Gawdat is the chief business officer at Google X – the "moonshot factory" responsible for some of the company's more audacious projects, such as self-driving cars and a balloon-powered global internet. Before he joined Google, while working as stock trader and tech executive in Dubai and in response to a period of depression, he used his engineer's mindset to create an "equation for happiness". The equation says that happiness is greater than, or equal to, your perception of the events in your life minus your expectation of how life should be. When his 21-year-old son Ali died during a routine operation, Gawdat turned to the equation, which they had worked on together, in an attempt to come to terms with his tragic loss. Gawdat's book, Solve for Happy, explains the theories underpinning the equation and how it helped him sustain his life after Ali's death.

The world of startups is constantly moving and evolving. With the exponential growth of deep learning research and technologies in recent years, innovative new companies are often funded, acquired and transformed from startups to industry leaders extremely quickly. MedicSen is a startup focused on developing non-invasive treatments for diabetes, utilising connected devices, machine learning algorithms and a cloud platform to revolutionise diabetic patient's lives. By applying artificial intelligence and sensor tech, the algorithm can predict future glucose levels and risky events and, according to that, give the patient medical advice and instructions for the amount of insulin they need and at what time. Since we first met the MedicSen team at the 2016 Deep Learning in Healthcare Summit in London, their team has grown and their mission has evolved.

Igor Kononenko studied computer science at the University of Ljubliana, Slovenia, receiving his BSc in 1982, MSc in 1985 and PhD in 1990. He is now professor at the Faculty of Computer and Information Science there, teaching courses in Programming Languages, Algorithms and Data Structures; Introduction to Algorithms and Data Structures; Knowledge Engineering, Machine Learning and Knowledge Discovery in Databases. He is the head of the Laboratory for Cognitive Modelling and a member of the Artificial Intelligence Department at the same faculty. His research interests include artificial intelligence, machine learning, neural networks and cognitive modelling. He is the (co) author of 170 scientific papers in these fields and 10 textbooks.

Good day, everyone, and welcome to today's Nidec's Conference Call hosted by Mitsubishi UFJ Morgan Stanley Securities. Today's call is being recorded. At this time, I would like to pass this conference to Mr. Abe at Mitsubishi UFJ Morgan Stanley Securities for opening remarks. Mr. Abe, please go ahead, sir. Ladies and gentlemen, thank you very much for joining this conference call. This is Abe, General Manager, Institutional Sales Department of Mitsubishi UFJ Securities. Before the meeting starts, please make sure all materials have been distributed. If not, please download the files on Nidec's Homepage right now. Now, may I introduce Mr. Akira Sato, Executive Vice President and Chief Financial Officer, who will be speaking to you shortly. First, Mr. Sato will make a presentation. After his presentation, we will move to a Q&A session. Mr. Sato will now discuss Nidec's fourth quarter fiscal year 2016 results, future outlook and management strategy. Mr. Sato, please go ahead. Thank you very much, Mr. Abe. My name is Akira Sato, Chief Financial Officer of Nidec, and I will be your main speaker for today.