Plus: A judge has blocked the Pentagon's blacklisting of Anthropic. A startup claims it's found a drug to make your blood young I knew I'd officially become a "longevity influencer" when a company called Generation Lab offered me the chance to write about--and even receive--their new rejuvenation treatment. A company fact sheet says that it "blocks the systemic spread of aging in the bloodstream, reawakens the body's own repair mechanism and restores health and youth to multiple tissues." The approach is based on research by Generation Lab's irascible scientific founder, Irina Conboy. She found that joining the circulatory systems of old and young mice improved the old animals' ability to heal from injury. Conboy now says she has found a combination of two existing drugs that can produce youthful effects without the need for any bodily fluid exchange.

In the fast-paced IT industry, new statistics and data are released daily. Each week, Enterprise Mobility Exchange publishes Fast Facts, taking a look at interesting or noteworthy information impacting businesses. The Artificial Intelligence (AI) market is about to embark on unprecedented growth due to demand, but while the explosion will further the technology to new heights, it's facing one obstacle. In a new report by MarketsandMarkets, the AI market value stands at $21.46 billion in 2018, and is forecast to reach $190.61 billion by 2025, boasting a CAGR of 36.62%. There is one major restraint for the market, the forecast says, and that's the limited number of AI technology experts to power the innovation.

As we sweep into the 4th Industrial Revolution driven by artificial intelligence, organisations are scrambling to implement Chatbots to be the face of their new machine-driven operations. Chatbots are often just seen as an automated text chat channel, replacing a human to support customers on a website. But Chatbots are capable of much more. By adding a voice interface to a chatbot platform it can answer phone calls, replacing traditional Interactive Voice Response (IVR) and speech recognition technologies. Chatbots can also respond to emails making them truly multi-channel.

Lear what artificial intelligence is and how it can benefit content.

Machine learning is key technology behind use of artificial intelligence applications. We know that AI applications are growing tremendously and businesses are focusing on efficient use of such applications which is becoming mandate for every organization. We are hereby highlighting some viewpoints, facts, figures as findings on AI and machine learning in form of infographic.

More and more companies are putting drones to work, including tech giants, manufacturers, utilities, and news organizations. With a broad range of practical applications and rapidly evolving technology, drones offer huge untapped potential, but not every market offers equal opportunities for growth. Here are seven facts and forecasts to know before investing. The demand for drones in the U.S. is projected to rise 10% annually to $4.4 billion in 2020, and the number of vehicles sold will more than double to 5.5 million. Drones sold to commercial and consumer users can cost less than $100 on the low end for toy drones to $10,000 or more on the high end for professional drones with sophisticated sensors and controls. Civilian markets are in the early stages of development, and over the next decade sales are expected to grow at explosive rates, similar to those posted by smartphones following the introduction of the iPhone in 2007.

Content Science is a content strategy and intelligence firm based in Atlanta, GA. Founded in 2010 by Colleen Jones, author of Clout: The Art Science of Influential Web Content, our mission is to transform industries, organizations, and individuals for the better by putting content first. We offer professional services, publications, and software for clients ranging from Fortune 50 companies to nonprofits to government agencies.

The report gives an overview about activities on the topic Semantic Web. It has been released as technical report for the project "KTweb -- Connecting Knowledge Technologies Communities" in 2003.

This article describes FAQ FINDER, a natural language question-answering system that uses files of frequently asked questions as its knowledge base. Unlike AI question-answering systems that focus on the generation of new answers, FAQ FINDER retrieves existing ones found in frequently asked question files. Unlike information-retrieval approaches that rely on a purely lexical metric of similarity between query and document, FAQ FINDER uses a semantic knowledge base (WORDNET) to improve its ability to match question and answer. We include results from an evaluation of the system's performance and show that a combination of semantic and statistical techniques works better than any single approach.