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 …

Those hoping to be among the first to own Apple's $999 iPhone X could be left empty-handed come November 3, a new report suggests. Apple initially targeted the November release date for the highly-anticipated device amid rumours of delays, with pre-orders to begin in October – but, the report claims Apple still has yet to begin final production of the handset. After meetings with supply chain companies in Asia, analyst Christopher Case says the iPhone X is facing an'incremental delay in the build plans,' with production now set to begin mid-way through next month. The devices will ship on November 3. The price will be $999 (£999) for the 64GB version and $1,149 (£1,149) for the 256GB version. In an investor's note obtained by Barron's, Raymond James chip analyst Christopher Caso reveals iPhone X production is, as many have suspected, about a month behind schedule.

Facebook had grand plans for its in-Messenger AI assistant, M, when it was launched in 2015. While the service hasn't quite yet lived up to the hype, the company is continually rolling out new features in a bid to make using it a fun experience, and to make it easier to get things done. From today, users in the US will see three new suggestions when using the app. If you're in a group or one-to-one conversation and type a common expression such as "I love you" or "thanks", a GIF picker bar will appear, automatically showing GIFs that correspond to that phrase. M suggestions for quick replies is a bit more useful. If you're asked a straightforward yes/no question in a one-to-one chat, the function offers quick reply options "yes", "no" or "I think so".

So the title should be pretty self descriptive for learning about the songs. We have a data set of playlists scraped from Spotify, with songs that appear above a certain threshold, and we train our network to learn embeddings just like word2vec, using playlists as sentences. To generate the playlist, we find points along the (euclidean) line between the normalized vectors of the two songs the user selects. We then find a small set of the closest (cosine distance) songs to each point on this line, and from that set identify the song with the minimal squared cosine distance from the two original songs. Some playlists work out well.