If you measure the future in terms how pizza is delivered, the future is now: Domino's now delivers via autonomous drone. Today, the pizza chain officially launched its drone delivery service in New Zealand. The pizzaria chain has been working with Flirtey on the program for awhile now, but has only just started offering it to a select group of customers. "Drones offer the promise of safer, faster deliveries to an expanded delivery area," Domino's group CEO Don Meiji says. "Meaning more customers can expect to receive a freshly-made order within our ultimate target of 10 minutes."

Get yourself ready for the bot invasion. Powered by artificial intelligence and fueled with big data, bots are gearing up to serve people the data, insights, and services they demand. Anybody who's interacted with Apple's Siri, Amazon's Alexa or Microsoft's Cortana is familiar with the question-and-answer capabilities of bot technology, which uses natural language processing and machine learning to answer questions or provide information via email, social media, messaging platforms, and mobile apps. But the bots you've seen up to this point will pale in comparison to the bots of the future. Consider that, by 2020, the average person will have more conversation with bots than with their spouse, according to Gartner.

This episode brings two esteemed experts to discuss these issues and present guidance for both commercial companies and the public sector policymakers. Dr. David A. Bray began work in public service at age 15, later serving in the private sector before returning as IT Chief for the CDC's Bioterrorism Preparedness and Response Program during 9/11; volunteering to deploy to Afghanistan to "think differently" on military and humanitarian issues; and serving as a Senior Executive advocating for increased information interoperability, cybersecurity, and civil liberty protections. He serves as a Visiting Executive In-Residence at Harvard University, a member of the Council on Foreign Relations, and a Visiting Associate at the University of Oxford. He has received both the Arthur S, Flemming Award and Roger W. Jones Award for Executive Leadership. In 2015, he was chosen to be an Eisenhower Fellow to Taiwan and Australia and in 2016, Business Insider named him one of the top "24 Americans Who Are Changing the World".

Make mine with extra pepper-droney! Domino's home delivers piping hot pizza using a DRONE in a world-first delivery New Zealand customers have their Domino's pizzas delivered by a drone Drone delivery is a world first initiative by the fast food chain and Flirtey A small robot uses GPS to deliver the piping hot pizzas to customers The drone will help bypass traffic to reach a ten minute delivery target New Zealand customers have their Domino's pizzas delivered by a drone The pizza delivery by drone was a world first by Domino's Pizza and independent drone delivery service, Flirtey For the time being, the deliveries by drone will be conducted from the Whangaparaoa store before it expands across New Zealand and then Australia. The'healthy' foods that nutritionists would NEVER eat -... Best way to show you care? Give them a cuppa: Making a tea,... The'healthy' foods that nutritionists would NEVER eat -... Best way to show you care?

WELLINGTON – The world's first pizza drone delivery was claimed Wednesday by the New Zealand division of fast food giant Domino's as it looks to grab a slice of a potentially hot future market. Domino's said it used an unmanned aerial vehicle to deliver two pizzas to a customer at Whangaparaoa, just north of Auckland. The firm's boss Don Meij said drones are set to become an essential part of pizza deliveries. "They can avoid traffic congestion and traffic lights, and safely reduce the delivery time and distance by traveling directly to customers' homes," he said. Today's successful delivery was an important proof of this concept."

Emerging Technologies Like Advanced Analytics, Machine Learning and Internet of Things Help Revolutionize Public Sector Agencies, Accenture Report Finds Survey results show meeting customer expectations is one of the lowest ranked priorities ARLINGTON, Va.; Nov. 15, 2016 – Advanced analytics and other emerging technologies are revolutionizing the way governments and public service agencies are trying to address citizen demands, helping to overcome persistent challenges such as regulatory compliance, outdated legacy IT infrastructures and organizational cultures, according to a new research report from Accenture. The report, Emerging Technologies in Public Service, examines the adoption of emerging technologies across agencies with the most direct interaction with citizens or the greatest responsibility for citizen-facing services: health and social services, policing/justice, revenue, border services, pension / social security and administration. As part of the report, Accenture surveyed nearly 800 public service technology professionals across nine countries to identify emerging technologies being implemented or piloted. These technologies include advanced analytics/ predictive modeling, the Internet of Things, intelligent process automation, video analytics, biometrics/ identity analytics, machine learning, and natural language processing/ generation. The survey found that while more than two-thirds (70 percent) of public sector agencies are evaluating the potential of emerging technologies, only a small percentage (25 percent) is moving beyond the pilot phase to full implementation.

My name is Victoria, and I'll be your conference operator today. Welcome you to the NVIDIA Financial Results Conference Call. All lines have been placed on mute. After the speakers' remarks there will be a question-and-answer period. I will now turn the call over to Arnab Chanda, Vice President of Investor Relations at NVIDIA. You may begin your conference. With me on the call today from NVIDIA are Jen-Hsun Huang, President and Chief Executive Officer, and Colette Kress, Executive Vice President and Chief Financial Officer. I'd like to remind you that our call is being webcast live on NVIDIA's Investor Relations website. You can hear a replay by telephone until the 17 November, 2016. The webcast will be available for replay up until next quarter's conference call to discuss Q4 financial results. The content of today's call is NVIDIA's property. It cannot be reproduced or transcribed without our prior written consent. During this call, we may make forward-looking statements based on current expectations. These forward-looking statements are subject to a number of significant risks and uncertainties and our actual results may differ materially. For a discussion of factors that could affect our future financial results and business, please refer to the disclosure in today's earnings release, our most recent Form 10-K and 10-Q, and the reports that we may file on Form 8-K with the Securities and Exchange Commission. All of our statements are made as of today, the 10th of November, 2016 based on information currently available to us. Except as required by law, we assume no obligation to update any such statements. During this call, we will discuss non-GAAP financial measures. You can find a reconciliation of these non-GAAP financial measures to GAAP financial measures in our CFO commentary which is posted on our website. Revenue reached a record in the third quarter, exceeding $2 billion for the first time. Driving this was success in our Pascal-based gaming platform and growth in our datacenter platform, reflecting the role of NVIDIA's GPU as the engine of AI computing.

Machines are capable of understanding speech, recognizing faces and driving cars safely, making recent technological advancements seem impressively powerful. But if the field of artificial intelligence is going to make the transformative leap into building human-like machines, it'll first have to master the way babies learn. "Relatively recently in AI there's been a shift from thinking about designing systems that can do the sort of things that adults can do, to realizing if you want to have systems that are as flexible and powerful and do the kinds of things that adults do, you need to have systems that can learn the way babies and children do," developmental psychologist Alison Gopnik, a researcher at the University of California at Berkeley, told International Business Times. "If you compare what computers can do now to what they could do 10 years ago, they've certainly made a lot of progress, but if you compare them to what a four year old can do, there's still a pretty enormous gap." Babies and children construct theories about the world around them using the same approach scientists use to construct scientific theories.

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Some scientists devote themselves to curing diseases. Others are researching an end to famine or global climate change. And some spend their time making nightmare machines, deep learning algorithms that utilize Artificial Intelligence to tap into humans' deepest and darkest fears. Like Google's Deep Dream, only with way more dangling, bloodied flesh. MIT teamed up with Australia's Commonwealth Scientific and Industrial Research Organisation (CSIRO) to create the "nightmare machine" in an attempt to study what terrifies us as a species, utilizing a pair of deep learning algorithms for maximum terrorizing impact and applying them to otherwise benign images like the Taj Mahal, an Ikea catalog and, naturally, Kermit the Frog.