The fast paced and fragmented online discussion is changing the world and not always to the better. Media is struggling with moderation demands and major news sites are closing down commenting on their articles, because they are being used to drive an unrelated political agenda, or just for trolling. Moderation practice cannot rely on humans anymore, because a single person can easily generate copious amounts of content, and moderation needs to be done with care. It's simply much more time consuming than cut and pasting your hate or ads all across the internet. Anonymity adds to the problem, as it seems to bring out the worst in people.

The era of Artificial Intelligence (AI) is upon us. More and more, computer systems will become able to perform tasks that previously required human intelligence, such as decision making, visual perception, and speech and language recognition. Marketing, like most other fields, will feel AI's impact in several areas, including database marketing techniques, search queries and search engine optimization (SEO), personalization, predictive customer service, sales forecasting, customer segmentation, pricing, and many others. Act-On recently asked several marketing experts and analysts for their assessments of the pros and cons of using Artificial Intelligence in marketing and what they foresee for the future. Question: Will Artificial Intelligence (AI) be marketing's friend or foe? How do you see the two co-existing as AI becomes more mainstream?

Next month will mark the 47th anniversary of Apollo 13. The film that recounts the story is a favorite of mine, probably because it so masterfully captures the incredible suspense, fear, and hope felt by people everywhere, that I personally recall very well. I also know how an organization's digital transformation can generate similar reactions! Apollo 13 was likely a casualty of the space program's incredibly aggressive schedule. NASA, with U.S. political and military leaders, was motivated by competition from the U.S.S.R. and fear of the potential consequences of not being first.

Sky is set to retire Sky Sports 1, 2, 3, 4 and 5, it has been reported. The broadcaster will also introduce new subscription packages that are significantly cheaper than those on offer currently. It will get rid of its numbered sports channels and replace them with channels for specific sports, like the existing Formula One channel. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

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A few weeks back, we looked at one of the biggest problems facing digital publishers--their ecosystem has morphed into one where traffic is increasingly being driven by clicks from social media sites, Facebook, in particular. This means they lose control over the cadence of the editorial they put out since it's up to the Mighty Facebook Algorithm as to when and where (and to whom) their stories are surfaced. That means publishers lose access to data too, as they can't track users around their sites and learn from their behavior. Los Angeles-based IRIS.TV has been working to solve this problem for a while now, and their AI-based protocol should make publishers very happy. The AI product is designed to take users on a journey through the publisher's website, using machine learning to ascertain their preferences and then serve up videos they might be interested in.

Me (author of Learning Deep Learning with Keras) and Jakub Czakon are giving a 45 min free webinar with a practical introduction to deep learning. So, we focus on how to use layers (convolution filter size? We will work on the notMNIST dataset of A-J letters, as it is way more interesting than MNIST, yet - still within easy reach of laptops. Indeed, I once even proposed that the toughest challenge facing AI workers is to answer the question: "What are the letters'A' and'I'?

Tom studied English Literature and History at Sussex University before gaining a Masters in Newspaper Journalism from City University.

The dataset used for the analysis was obtained from Kaggle Datasets, and is attributed to UCI Machine Learning. The raw tabular data includes information about news category (business, science and technology, entertainment, etc.) R language has some useful packages for text pre-processing and natural language processing. I prefer fread() over read.csv() For the scope of this program, we limit ourselves to only the headline text and publisher name. We use a "for loop" to filter and a custom function aggregate the headline texts for each publisher.

Change is happening all around us, and one of the biggest drivers of change in the digital world is artificial intelligence (AI). We can't listen to a tech CEO keynote without stumbling on how they are using AI for a variety of products or innovations. Smart publishers are also beginning to embrace AI. They are weaving it into the core of their business -- to inform and improve content, advertising and product. The benefit of AI to readers is that it can be both interactive and anticipatory.