The polls have consistently showed Hillary Clinton with a lead over Donald Trump in recent weeks, but an artificial intelligence system has a different prediction for the outcome of the presidential election. The system, called MogIA, uses 20 million data points from online platforms like Google, YouTube, and Twitter to come up with its predictions, according to CNBC. MogIA correctly predicted the past three presidential elections as well as the Democratic and Republican primaries. "While most algorithms suffer from programmers/developer's biases, MoglA aims at learning from her environment, developing her own rules at the policy layer and develop expert systems without discarding any data," Sanjiv Rai, the founder of Indian start-up Genic.ai MogIA uses data such as engagement with tweets and videos posted to the platforms the system looks at.

An Android smartwatch from LG launched in 2014. It used to be the domain of science-fiction movies – gadgets that track and record your health data, surgeries performed remotely, and even diagnostics done by robotics. Everywhere we turn, it is apparent that technological advancements are fast changing the healthcare industry. "Technology diagnostics and predictive informatics are the new sciences propelling healthcare into the future," says Gordon Hewitt, chairman of the Global Advisory Board of SIXCAP Group. Today, it is getting increasingly common to see wrists donning a smart watch or health tracker that tells you the amount of calories you have burned, how fast your heartbeat is, and much more. They enable the capture of a continuous stream of data about physiology and kinesiology, empowering consumers with self-knowledge and allowing them to self-monitor their physical activities and prevent undesirable health conditions such as hypertension and stress.

Artificial intelligence is the key to the future of online retail, business bosses have said, providing a crucial way to help shoppers find what they want. Alex Baldock, chief executive of Shop Direct, which runs very.co.uk and Littlewoods, told the Telegraph Festival of Business in London that artificial intelligence was the company's "big bet". "You have three seconds to seize the shopper's attention - it's called thumb stopping, the three-second audition," Mr Baldock said. "That's where personalisation comes in." Shop Direct is owned by Sir David and Sir Frederick Barclay, proprietors of Telegraph Media Group, the publisher of the Daily Telegraph.

Organizations today are collecting more information about what's going on in their environments than ever before, but manually sifting through all this data to find evil on your network is next to impossible. Reliable detection of security incidents remains elusive, and there is a distinct lack of open source innovation. It doesn't have to be this way! In this presentation, we'll walk through the creation of a simple Python script that can learn to find malicious activity in your HTTP proxy logs. At the end of it all, you'll not only gain a useful tool to help you identify things that your IDS and SIEM might have missed, but you'll also have the knowledge necessary to adapt that code to other uses as well.

Samsung's Galaxy S8 might have a button for its new AI assistant video - CNET Machine learning as a service market grow at a CAGR of 43.7% to reach USD 3755.0 million by 2021 Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

This month Stanford launched a 100-year study of AI (AI100) with a report: Artificial Intelligence and Life in 2030. The 16 member study panel issuing the report sees increasingly useful applications of AI, with potentially profound positive impacts on our society and economy over the next decade. The study identifies eight domains where AI is already having or is projected to have the greatest impact: transportation, healthcare, education, low-resource communities, public safety and security, employment and workplace, home/service robots and entertainment. Check out this Pearson video (and our review of their report): Over the next few months, we'll be exploring developments in these eight categories and the implications for employment and education. This series, #AskAboutAI, will encourage parents, teachers, mentors and advisors to engage young people in a dialog about the emerging automation economy and the ethical and economic implications of artificial intelligence (AI).

Please can you give an overview of the current drug discovery paradigm? In what ways do you think it needs to be leaner? With the current drug discovery paradigm, it takes up to 15 years to translate an idea, such as hypothesizing a certain protein is important in a disease and testing this with targeting the protein with a drug, all the way through to proof of concept. The drug has to be filed with the regulatory authorities, having done all the safety and efficacy testing. Estimates vary, but it's currently reckoned to cost over 1 billion dollars per drug.

I recently read Preparing for the Future of Artificial Intelligence, a paper published by the White House's Executive Office of the President, National Science and Technology Council, Committee on Technology (or EOPNSTCCT for short!). One of the important distinctions it highlights is the difference between Narrow, and General AI. Narrow AI (sometimes referred to as Weak AI) underpins fairly specific services like recommendations on Amazon, ad targeting, and even Facebook's news feed. Watson is unique in that it applies both machine learning, and expert systems, but it's still essentially an advanced'question answering' machine. General AI (also called Artificial General Intelligence, AGI) refers to a notional future AI system that exhibits intelligent behaviours across a complete range of human cognitive tasks.

Erica, the new chatbot from Bank of America, uses advanced AI to deliver personalised, actionable insight that goes beyond users' specific requests. By delivering added value, Erica will help Bank of America to engage more deeply with its customers. Over the last couple of years, banking-related chatbots have moved from the realm of experimental applications into mainstream use. However, often these chatbots are rather unsophisticated and can only deal with simple tasks such as balance checks and transferring funds between accounts. Where requests are more complex, chatbots typically resort to referencing answers from the FAQ sections of banks' websites.

Will the technology be coming for your job next? The question of whether marketing is more science or art has never seemed more relevant now that highly sophisticated cognitive learning technology is able to assume many of the tasks involved in marketing -- in some cases, even doing them better than a human could. But visions of a completely automated campaign may be premature, according to executives from IBM and other companies at the forefront of AI who weighed in on the technology's impact during a panel discussion at ad:tech New York last week. In good news for creative directors, the experts said cognitive technology has the ability to free up marketers to spend more time tackling bigger picture responsibilities, such as finding the inspiration for the right voice and vision to make an emotional connection with consumers. By laying the groundwork for significantly more sophisticated one-to-one marketing, AI could even create a need to beef up analytics, content and other areas for businesses that are able to gain a competitive edge through customer-centric marketing.