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'Siri, catch market cheats': Wall Street watchdogs turn to artificial intelligence - The Economic Times
NEW YORK: Two exchange operators have announced plans to launch artificial intelligence (AI) tools for market surveillance in the coming months and officials at a Wall Street regulator tell Reuters they are not far behind. Executives are hoping computers with humanoid wit can help mere mortals catch misbehavior more quickly. The software could, for instance, scrub chat-room messages to detect dubious bragging or back slapping around the time of a big trade. It could also more quickly unravel complex issues, like "layering," where orders are rapidly sent to exchanges and then canceled to artificially move a stock price. AI may even sniff out new types of chicanery, said Tom Gira, executive vice president for market regulation at the Financial Industry Regulatory Authority (FINRA).
Harley-Davidson Says Artificial Intelligence Drives 40% of New York Sales - eMarketer
Lookalike modeling is a key component of lead generation, and for motorcycle brand Harley-Davidson, the tactic now goes hand in hand with artificial intelligence (AI). In March 2016, the company began working with machine learning technology provider Adgorithms to grow its ecommerce reach and hasn't looked back since. Asaf Jacobi, president of Harley-Davidson's New York City division, spoke with eMarketer's Maria Minsker about the brand's experience with AI and discussed the results he has seen so far. Asaf Jacobi: One of the biggest challenges of having a business in New York City is that it's a very competitive environment. To get the response rate brands want, they have to reach as many people as possible.
Tim Cook: Giving Up Privacy with Siri and AI is a False Choice
Apple CEO Tim Cook says you won't have to give up your privacy to have a great AI assistant TIM COOK: Here's why assistants on phones are better than home speakers like the Echo Machine Learning Veterans Launch'Element AI' - A Montreal Based Artificial Intelligence Startup ... 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.
Is Artificial Intelligence in eCommerce industry a game changer? - Maruti Techlabs
Is Artificial Intelligence in eCommerce industry a game changer? Artificial Intelligence in eCommerce will impact the productivity metrics such as increased transactions, customer retention, increased customer loyalty and satisfaction. By providing eCommerce with improved understanding and human touch, the eCommerce Industry will be laid bare to extraordinary efficiency, consumer knowledge and automation. The convergence of Artificial Intelligence in eCommerce poises a rich industry on the precipice of a complete and utter transformation, one that will change the way we buy and sell online.
Microsoft Ignite NZ 2016: Jennifer Marsman on machine learning, lie detection, and women in tech
Apple CEO Tim Cook says you won't have to give up your privacy to have a great AI assistant Tim Cook on A.I.: "I Don't Think We Have to Throw Our Privacy Away" Now AI is Deliberately Trying to Scare Us, if We Aren't Already TIM COOK: Here's why assistants on phones are better than home speakers like the Echo 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.
Nightmare Machine taps AI to make ordinary photos horrifying
Apple CEO Tim Cook says you won't have to give up your privacy to have a great AI assistant Tim Cook on A.I.: "I Don't Think We Have to Throw Our Privacy Away" Now AI is Deliberately Trying to Scare Us, if We Aren't Already TIM COOK: Here's why assistants on phones are better than home speakers like the Echo Machine Learning Veterans Launch'Element AI' - A Montreal Based Artificial Intelligence Startup ... 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.
Machine learning versus AI: what's the difference?
Thanks to the likes of Google, Amazon, and Facebook, the terms artificial intelligence (AI) and machine learning have become much more widespread than ever before. They are often used interchangeably and promise all sorts from smarter home appliances to robots taking our jobs. But while AI and machine learning are very much related, they are not quite the same thing. AI'lawyer' correctly predicts outcomes of human rights trials AI is a branch of computer science attempting to build machines capable of intelligent behaviour, while Stanford University defines machine learning as "the science of getting computers to act without being explicitly programmed". You need AI researchers to build the smart machines, but you need machine learning experts to make them truly intelligent.
It's Time To Recognize That Machines Are Learning All The Wrong Things
Data-driven algorithms govern many aspects of life: university admissions, resume screening, and a person's ability to get a car or home loan. Often, using data leads to more efficient allocation of resources and better outcomes for everyone. But algorithms can come with unintended consequences--and without care, their application can result in a society we don't want. Typically, we think of algorithms as being neutral and objective, but when software is written and trained by humans, it often encodes the biases and prejudices of the people that make and shape it. Ultimately, the biases built into algorithms can be racist and marginalize low-ranking socioeconomic groups.
Robot judges could soon be helping out with court cases
An artificial intelligence (AI) judge has accurately predicted most verdicts of the European Court of Human Rights, and might soon be making important decisions about cases. Scientists built an artificial intelligence computer that was able to look at legal evidence as well as considering ethical questions to decide how a case should be decided. And it predicted those with 79 per cent accuracy, according to its creators. The algorithm looked at data sets made up 584 cases relating to torture and degrading treatment, fair trials and privacy. The computer was able to look through that information and make its own decision – which lined up with those made by Europe's most senior judges in almost every case.