Florent Perronnin was director at Fair in Paris until July 2016, when he moved to Xerox in Grenoble. He is now deputy manager of the analytics labouratory at Xerox Research Centre Europe. One of the primary areas of focus at Xerox is computer vision. "You need a certain combination of ingredients for a country to be strong in AI," said Perronnin. "You need good research institutions. And France is very strong in two of the competencies required for AI research – mathematics and computer science."

Artificial Intelligence vs. Driverless Cars: Which Tech Trend Has More Opportunity? Self-driving cars are well on their way, and many tech companies are focusing much of their attention on artificial intelligence. Here's how big these two trends could get. IHS Automotive predicts that just 20 years from now, nearly 10% of all new vehicles sold will be fully self-driving. Tesla CEO Elon Musk said last month that all of the company's new cars built from now on will ship with fully autonomous hardware (though the features won't be activated yet).

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.

MUNICH, Nov. 08, 2016 (GLOBE NEWSWIRE) -- Ahead of the opening of the world's largest international trade fair for the electronics industry in Munich, Electronica reveals its trend index 2020, an international survey highlighting how people see their future lives with electronic devices. In the US, 1,000 consumers took part in the survey, which indicates strongly that artificial intelligence should not replace thinking. However 69% of US people were positive about an intelligent automobile which monitors traffic like a driving instructor, and only intervenes when the driver makes a mistake. People feel comfortable with idea of using devices for protection and general security, but they don't want them to be too intrusive or connect up their office and home. Results painted a similar picture for electronic healthcare. More than 80% of the population surveyed want electronic safety technology to make living easier for older people with connected emergency alert systems.

California voters have approved a significant change of the rules in how proposed laws are approved by the Legislature, overwhelmingly supporting a new mandate for public review of legislation before any final vote. Proposition 54, which will impose a three-day waiting period before lawmakers can take action on the final version of bills, appeared headed for an easy victory on election night. As of early Wednesday, it was winning with 64% of the vote. The change in legislative rules was long discussed in the state Capitol but failed to gain momentum until the initiative written by a former GOP legislator and bankrolled by a wealthy Bay Area activist. In addition to the three-day delay for public review of most bills, Proposition 54 will also impose new rules requiring that video of legislative hearings and debates be posted online.

The Artificial Intelligence Startup Battle where the jury is an algorithm keeps on traveling around the world! We are glad to announce our next stop: São Paulo, Brazil, on December 9, 2016. This will be the third edition of a series of very exciting battles, where five AI startups compete with each other and are judged by a Machine Learning algorithm, with no human involvement. The world's premiere Artificial Intelligence Startup Battle took place in Valencia, Spain, last March 2016, when Telefónica Open Future_ and BigML presented PreSeries to the world. The reaction of the audience was extremely positive!

CopyFunds work by bundling together financial assets of any kind, under one chosen strategy or theme, and are created and traded on eToro . CopyFunds will be divided into Top Trader CopyFunds; comprising the best performing and most sustainable traders on the network and Market CopyFunds made up of specially-selected instruments such as stocks, commodities or ETFs allowing investors to track a wide array of sectors around a defined market strategy. Top Trader CopyFunds is built using machine learning technology that selects the best performing traders on the eToro network. CopyFunds enable investors to invest in a bundled group of high-performing traders as well as predefined market strategies. CopyFunds aim to help investors minimise long-term risk and promote opportunities for growth by creating a diversified investments.

Why job security won't exist in the age of'superintelligence' and that's OK Artificial intelligence (AI) is a repeatedly misused term. Coined in 1956 by John McCarthy, it was originally intended to define an independent machine agent that can take actions to maximize success toward a particular goal, with human-like functions such as learning and problem solving. AI can be broadly categorized as ANI (artificial narrow intelligence), AGI (artificial general intelligence) and ASI (artificial superintelligence). Almost all of the AI systems we see today align under ANI -- e.g., IBM Watson, Deep Blue, a calculator, even the device you're reading this from all fall into that category. All are built to perform specific functions, but are not quite at a human level.

From there, it won't be long before we begin to wonder how we ever lived without artificially intelligent financial advisors implementing our own personal monetary policy. U.S. financial literacy levels are unacceptably low, and the widespread availability of artificially intelligent money-management tools won't change that. By enabling us to make simple, direct decisions while taking care of the rest, artificially intelligent financial advisors will decrease the prevalence of consumer mistakes and prompt improvement in our overall financial health.I'm actually a perfect example of this point. And while this figures to make things physically easier, the process still won't be simple.

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.