Futurewei Technologies Inc. (DBA Huawei R&D) is a U.S. Based branch of Huawei Technologies Co. Ltd., the leading global information and communications technology solutions provider. Established in 1988, Huawei Technologies is a private high-tech enterprise specializing in research and development, the production and marketing of communications equipment, and providing customized network solutions for telecom carriers in fixed, mobile, and data communications networks. Through our dedication to customer-centric innovation and strong partnerships, we have established end-to-end advantages in telecom networks, devices and cloud computing. We are committed to creating maximum value for telecom operators, enterprises and consumers by providing competitive solutions and services. Our products and solutions have been deployed in over 170 countries, serving more than one third of the world's population.

When did electricity take over from steam in the UK? When did football replace cricket as the most popular sport? And what year did women start to become more frequently mentioned in the press? Specifically, a new paper by a team artificial intelligence researchers at the University of Bristol that used AIto analyse the news from 100 different British regional newspapers over the past 150 years. The team of academics, led by professor Nello Cristianini, collaborated closely with the company findmypast, which is digitising historical newspapers from the British Library as part of their British Newspaper Archive project.

What major advances do you foresee in artificial intelligence in 2017? Despite the impressive progress that machine learning made in 2016, AI systems remain specialists: they cannot add new skills to their repertoires without erasing what they already know. This is the problem of catastrophic forgetting. An AI trained to recognise faces in photographs, for example, would not apply well to another visual task, such as recognising street signs. Each system would need to be trained for its own limited task.

Dress location network: locates a dress in an image given a patch of a dress.

In a Harvard Business School classroom in Boston, MA, robots are on the rise. MBA students are trying to crack a case study on the self-driving cars pioneered by Tesla, Google, and Uber. What is the potential for robots to reshape our roads? And what are the challenges and opportunities of entering that business? This is a case that David Yoffie, professor of international business administration, believes is essential reading for tomorrow's business leaders.

Paul Roetzer (@paulroetzer) is founder and CEO of PR 20/20, author of The Marketing Performance Blueprint and The Marketing Agency Blueprint, and creator of The Marketing Artificial Intelligence Institute and Marketing Score.

Investors haven't been happy with IBM (NYSE:IBM) lately. Since Ginni Rometty started as CEO in January of 2012, IBM has had 18 consecutive quarters of year-over-year declining revenue -- essentially every quarter of her tenure. The stock has lost nearly 10% compared with a gain of 78% for the S&P 500 over the last five years. For IBM shareholders, Ginni Rometty's four-year reign as chief executive officer hasn't been anything to go to Disneyland about. But her company has become a leader in one corporate category: board members willing to shovel incentive pay at a CEO turning in a mediocre performance.

Popular visions of artificial intelligence often focus on robots and the dystopian future they will create for humanity, but to understand the true impact of AI, its skeptics and detractors should look at the future of cybersecurity. The reason is simple: If we have any hope of winning the war on cybercrime, we have no choice but to rely on AI to supplement our human skills and experience. With the number and sophistication of cybercriminals continuing to grow, the technology industry has started to address this challenge through the use of AI. As with many new technologies, however, the good that AI can do is threatened by the misconceptions and hyperbole that surround it. For this reason, the technology industry must address these popular perceptions, and that starts with redefining AI as what it truly is: augmented intelligence.

Looking at this text, we already see complexity emerging. As a human reader, I'm sure you'll say this is a negative review, and undoubtedly there are some clearly negative words ("dreadful", "confusing", "terrible"). But to a high degree, negativity comes from negated positive words: "lacking achievement", "wasn't very funny", "not as good as she could have given". So clearly we cannot just look at single words in isolation, but at sequences of words – n-grams (bigrams, trigrams, …) as they say in natural language processing. The question is though, at how many consecutive words should we look?

When a newborn first opens its eyes, it sees the world around it as blurry shapes. But a few months later, its vision starts to focus and it will start to recognize people and objects. Researchers at UNC's School of Medicine have found out more about how the brains of baby mammal's develop as they refine their sense of sight, and the research may also help restore sight for people with vision problems. When a newborn first opens its eyes, it sees the world around it as blurry shapes. The research, which was conducted on mice and published in the journal Nature Neuroscience, is part of a wider project that aims to maps the areas of the brain that play key roles in vision processing.