A robot from Japan named "Pepper" is the newest edition at Tutor Me SOS in Stamford. The robot, the only one of its kind in Connecticut, is being programmed to prepare kids for the future and will interact with the 500 students enrolled at the center. Tutor Me SOS owner Mona Mitri says the robot is so impressive, with its ability to communicate by voice and touch. "It's unbelievable because no matter where you move, it follows you," she says. Pepper's battery lasts roughly 14 hours.

With rise of digital age, there is an explosion of information in the form of news, articles, social media, and so on. Much of this data lies in unstructured form and manually managing and effectively making use of it is tedious, boring and labor intensive. This explosion of information and need for more sophisticated and efficient information handling tools gives rise to Information Extraction(IE) and Information Retrieval(IR) technology. Information Extraction systems takes natural language text as input and produces structured information specified by certain criteria, that is relevant to a particular application. Various sub-tasks of IE such as Named Entity Recognition, Coreference Resolution, Named Entity Linking, Relation Extraction, Knowledge Base reasoning forms the building blocks of various high end Natural Language Processing (NLP) tasks such as Machine Translation, Question-Answering System, Natural Language Understanding, Text Summarization and Digital Assistants like Siri, Cortana and Google Now. This paper introduces Information Extraction technology, its various sub-tasks, highlights state-of-the-art research in various IE subtasks, current challenges and future research directions.

There are so many floating rings to choose from.Credit: Epic / Erik Kain One of Fortnite's Week 10 challenges is a familiar one: Players have to skydive through 20 floating rings. We saw a similar challenge back in Season 3. I'm not sure how I feel about Epic recycling these challenges, but I suppose if they're short on cool new ideas that's bound to happen. In any case, this is a simple challenge though it will take you quite a few matches to complete. You're unlikely to dive through more than two or three rings in a row, meaning at the very least you'll need to play 7 to 10 matches to complete the challenge. See the full list of week 10 challenges here.

Have you been wanting to buy one of those Amazon Echo talking speakers, but never got around to it? Mark Monday, July 16 on your calendar: there will probably be a great deal on one. Amazon's Prime Day is set for Monday, July 16th, the made-up summer holiday that's turned into one of the e-tailer's biggest sales day of the year. On today's episode of #TalkingTech, we offer tips on how to start preparing now to save on Prime Day, one of Amazon's biggest sales days of the year. The sale starts Monday July 16 at 12 p.m. Pacific/3 p.m. Eastern.

Today's best deals are on fun and productive items. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. When a national holiday falls in the middle of the work week, it's like a mini weekend in the middle of all that work. But coming back to work on Thursday can be a real slog.

Leonardo da Vinci famously created drawings and paintings that showed a bird's eye view of certain areas of Italy with a level of detail that was not otherwise possible until the invention of photography and flying machines. Indeed, many critics have wondered how he could have imagined these details. But now researchers are working on the inverse problem: given a satellite image of Earth's surface, what does that area look like from the ground? How clear can such an artificial image be? Today we get an answer thanks to the work of Xueqing Deng and colleagues at the University of California, Merced.

The startup acquisition war continues, and it's Facebook that's thrown the latest punch. According to media reports, the social media giant has acquired, in early July, a London-based Artificial Intelligence (AI) startup. The startup's name is Bloomsbury, and it seems to have been acquired for a price of somewhere between $23 million and $30 million. Bloomsbury is a startup that develops natural language processing (NLP) technology, allowing machines to read documents and answer questions based on what they'd learned from them. The media are saying Facebook is going to use Bloomsbury to tackle fake news and other isuses it has with content.

Yandex spokesman Ilya Grabovsky said Thursday that some Internet users contacted the company Wednesday to say that its public search engine was yielding what looked like personal Google files. Grabovsky said the company has alerted Google.

According to the founder of artificial intelligence outfit ScriptBook, Sony Pictures could have saved a fortune from 2015 to 2017 by using the company's algorithms instead of human beings to reject or greenlight movies. In a presentation at the Karlovy Vary Intl. Film Festival, ScriptBook founder Nadira Azermai said that by analyzing screenplays, ScriptBook retroactively identified as box-office failures 22 out of the 32 Sony movies that lost money in that period, during which Sony released a total of 62 movies. "If Sony had used our system they could have eliminated 22 movies that failed financially," said Azermai. Welcome to the brave new world of AI and machine learning as it applies to Hollywood. Many see in ScriptBook and similar AI systems the potential to destroy a major part of the film production and distribution ecosystem, displacing script readers and saving much of the money studios spend on test screenings, focus groups and market research.

Artificial intelligence (AI) in health care has become the subject of both great promise and great hyperbole. Beyond buzzwords and a plethora of venture capital investments, AI and other mathematical techniques are beginning to emerge in a second wave of domain-specific systems of intelligence. The key missing factor has been a business model in the payer-and-provider community that enables the "best" (aka: most validated, most clinically proven, most workflow-integrated) models to drive an economic value both to the care paradigm and to the cost centers of health care data storage and analytical processing. As the cloud storage wars have entered health care, a question has emerged: Beyond security and the improved economics of cloud storage versus physical storage, what will drive revenue for cloud vendors? Furthermore, how will horizontal cloud vendors prove the validity of AI offerings to impact the business needs of providers and payers such as improved quality, decreased workload and better outcomes?