In recent years, we've become addicted to on-demand media, entertainment and information services. Rolling news, something relatively new 20 years ago, is now the norm. Binge-watching online TV shows has become part of our lives. As demand for this content grows, technology must find new ways to deliver these services and provide highly-customised and engaging experiences. Step forward Artificial Intelligence (AI) which is set to have a massive impact in the digital era.

This morning I got an email about my blog post discussing the history of deep learning which rattled me back into a time of my academic career which I rather not think about. It was a low point which nearly ended my Master studies at the University of Lugano, and it made me feel so bad about blogging that I took two long years to recover. When I started my masters, I worked on blog posts for NVIDIA which featured introductions into deep learning. I hence discussed what I thought to be the historical milestones with the largest impact but in doing so, I inadvertently assigned credit to researchers that I thought had a good impact on the field. I worked on this blog post and circulated it in my deep learning class's forums to the dismay of my then advisor who holds the opposite view of mine.

Ford Global Data Insight and Analytics (GDI&A) is looking for a data scientist with an emphasis on Machine Learning and scalable computing.

Facebook has added three new automatic suggestions using Artificial Intelligence (AI) to the Messenger app's virtual assistant'M'.

How do you actually become friends with someone? Is it a slow process of getting to know each other or is there a moment when you just hit it off? Do we enjoy staying friends with people who have become part of our lives or does there come a point when we just let them go? I was Facebook friends with a woman named Claire when I was in college and we used to discuss sci-fi movies together. Though we've lost touch, I miss the friendship we had developed over that very specific topic of conversation.

Dozens of perfectly preserved ancient shipwrecks have been found at the bottom of the Black Sea. A total of 60 wrecks were discovered dating back as far as 2,500 years, including galleys from the Roman, Byzantine and Ottoman empires. Scientists stumbled upon the graveyard while using underwater robots to survey the effects of climate change along the Bulgarian coast. Because the Black Sea contains almost no light or oxygen, little life can survive, meaning the wrecks are in excellent condition. Researchers say their discovery is'truly unrivalled'.

Content-dense news report important factual information about an event in direct, succinct manner. Information seeking applications such as information extraction, question answering and summarization normally assume all text they deal with is content-dense. Here we empirically test this assumption on news articles from the business, U.S. international relations, sports and science journalism domains. Our findings clearly indicate that about half of the news texts in our study are in fact not content-dense and motivate the development of a supervised content-density detector. We heuristically label a large training corpus for the task and train a two-layer classifying model based on lexical and unlexicalized syntactic features. On manually annotated data, we compare the performance of domain-specific classifiers, trained on data only from a given news domain and a general classifier in which data from all four domains is pooled together. Our annotation and prediction experiments demonstrate that the concept of content density varies depending on the domain and that naive annotators provide judgement biased toward the stereotypical domain label. Domain-specific classifiers are more accurate for domains in which content-dense texts are typically fewer. Domain independent classifiers reproduce better naive crowdsourced judgements. Classification prediction is high across all conditions, around 80%.

Technologies like artificial intelligence and deep learning are driving drone's evolution and fueling their autonomous future, according to Jesse …