London Tech Week is finishing up this weekend and though it's not specifically aimed at travel, there's no doubt that technology is going to play a huge role in how we move around the globe in coming years. At the moment it can often feel as if technology hasn't really lived up to its promise. Airline apps are, for the most part, underwhelming and limited in what they can do. Communications about delays and disruptions certainly haven't gotten any better. Navigating a day of travel can sometimes feel more like an ongoing battle against technology (a temperamental check-in kiosk, for example) rather than a sign of how far we've come.

After decades of a heavy slog with no promise of success, quantum computing is suddenly buzzing! Nearly two years ago, IBM made a quantum computer available to the world. The 5-quantum-bit (qubit) resource they now call the IBM Q experience. It was more like a toy for researchers than a way of getting any serious number crunching done. But 70,000 users worldwide have registered for it, and the qubit count in this resource has now quadrupled.

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Artificial intelligence in transportation helps the transportation companies to ensure public safety for their service. Artificial Intelligence in transportation makes use of various concepts like deep learning, computer vision, and context awareness to know the way the drivers handle their resources. The global artificial intelligence in the transportation market is experiencing high demand due to the increasing popularity of the autonomous vehicle. Various organizations are using AI in transportation solutions for data collection and decision making. The growing use of autonomous vehicles, and need to control the operational costs are the major factors that are expected to support the growth of artificial intelligence in transportation market whereas failure in performance is the major factor that is expected to slow down the growth of this market.

I am a senior data scientist at LinkedIn working on SEO and guest experience. I presented at SMX London last month about how to apply data science in SEO. The session covered topics including metrics, A/B testing, SEO vs. SEM cannibalization testing and machine learning for content quality. Here are a few questions from session attendees with my responses. For A/B testing, do you use any specific tools/processes?

China's once scorching tech sector is cooling off. "Winter is coming," laughs Lin Liu, a 29-year-old Shanghai tech worker. Electric vehicles, industrial robots, and microchip production all slowed recently. Big firms like Alibaba, Tencent, and search engine Baidu have slashed jobs. Overall, one in five Chinese tech companies plans to cut recruitment, says jobs site Liepin.com.

The American IT MNC, IBM, recently celebrated the women pioneering the AI Business worldwide. These ladies have employed AI in most efficient manner to accelerate, innovate and transform their companies. In an event organised by IBM at IBM Watson Experience Center in New York, the company celebrated the honorees and women leaders also shared their valuable experiences in coming ahead with AI initiatives. Also, students from IBM's P-Tech program attended the event to grasp knowledge from their wits. Michelle Peluso, SVP, Digital Sales & CMO, IBM stated at the event, "Artificial Intelligence is poised to drive dramatic advances in every industry. Today, we are sharing the stories of more than 30 incredible women, who are paving the way forward in how AI is advancing businesses and changing how people work and live. At IBM, we know gender equality is critical and nowhere is this more important than in AI. We hope the stories shared today will encourage many more women to take a leadership role in shaping the future of this important technology."

But the idea of AI -- of machines that can sense, classify, learn, reason, predict, and interact -- has been around for decades. Today, the combination of massive and available datasets, inexpensive parallel computing, and advances in algorithms has made it possible for machines to function in ways that were previously unthinkable.1 While the more obvious examples such as robotics, driverless cars, and intelligent agents such as Siri and Alexa tend to dominate the news, artificial intelligence has much wider implications. Gartner predicts that "by 2020, algorithms will positively alter the behavior of billions of global workers."2 Markets & Markets expects the AI market to reach $5.05B by 2020.3 This report lays out the current state of AI for business, describes primary and emerging use cases, and states the risks, opportunities, and organizational considerations that businesses are facing. It concludes with recommendations for companies thinking about applying AI to their own organizations and a look at some of the business, legal, and technical trends that are likely to shape the future. Executive Summary 1 What is Artificial Intelligence? 2 Use Cases for Artificial Intelligence 8 Implications and Recommendations 13 A Look at the Future 17 End Notes 19 Methodology 22 Acknowledgements 23 About Us 24 TABLE OF CONTENTS 3. www.altimetergroup.com

While the NFL is not normally known for embracing change, certain teams around the league have been quick to adapt to new technologies that will give them an edge or help improve existing training methods. In 2016, the Pittsburgh Steelers were one of the first to trial tackling robots at practice, a device ultimately purchased by a number of NFL teams and colleges. Now it would appear that the use of robotics in football has taken a significant leap forward with the invention of a device that is most simply described as a robotic quarterback. Created by a group of alumni from Iowa University and their company Monarc Sports Robotics, "The Seeker" is capable of delivering a football to any predefined point on the field using tracking software or being used as a more accurate version of a jugs machine. Here's the story behind Seeker, the world's first robotic quarterback developed by Monarc Inc and currently being trialled by a host of NFL and college football teams.

Boston Dynamics, an American engineering and robotics design company, famous for making lifelike robots have been fascinating and terrifying the social media from the time it was founded in 1992. Now, a new video is going viral while shows a robot going a little extreme and fighting back. But is it the real Boston Dynamics? The parody video goes with a watermark of Bosstown Dynamics, which clearly indicates that the clip is a joke but it can be an eye opener about the future of robotics. In the clip, two engineers can be seen tormenting a robot with sticks, whips, bottles and even some kicks before the robot decides to show some Kung Fu moves and some skills with a gun too.