Various estimates suggest the American employment mill could shrink by 30% by the year 2025. The United Nations' assessment is even grimmer. They project two-thirds of the human workforce will be replaced in the next decade. Usually, the major sectors included in these loss reports are manufacturing, retail, and blue collar jobs. However, a new analysis suggests white collar jobs are not immune, and now the world's largest hedge fund is replacing its managers with artificial intelligence.

Manoj Saxena is the executive chairman of CognitiveScale and a founding managing director of The Entrepreneurs' Fund IV (TEF), a $100m seed fund focused exclusively on the cognitive computing space. Saxena is also the chairman of Federal Reserve Bank of Dallas, San Antonio branch and Chairman, SparkCognition an Austin based cognitive security and safety analytics company. Prior to joining TEF, Saxena was general manager, IBM Watson, where his team built the world's first cognitive systems in healthcare, financial services, and retail. Earlier he founded, built and sold two Austin based software startups. Saxena will be speaking at Gigaom AI Now in San Francisco, February 15-16th.

The Apple logo is displayed at the Apple Store June 17, 2015 on Fifth Avenue in New York City. Earlier this December, Apple created a noise when they express the artificial intelligence (AI) research community that the secretive company will start making AI papers of its own. A month later, Apple is already starting to keep their promise. Apple revealed its very first AI paper last December 22. The AI paper was submitted last November 15 for publication.

Kristina: We're seeing more businesses use chatbots for customer service. How are consumers using chatbots? Amit Sharma, CEO, Narvar: Shoppers have an increasing appetite for chatbots and AI-powered technology, given the customized, data-driven, contextual experience they provide. An analysis of conversations with the Narvar chatbot on Facebook Messenger found that 65 percent of people communicate with bots as they would a human by acknowledging the bot with a thank you or thumbs up. Communicating with consumers in a natural, human way without being in the same physical location is a key benefit of chatbots and conversational tools.

Driving your car until it breaks down on the road is never anyone's favorite way to learn the need for routine maintenance. But preventive or scheduled maintenance checks often miss many of the problems that can come up. An Israeli startup has come up with a better idea: Use artificial intelligence to listen for early warning signs that a car might be nearing a breakdown. The service of 3DSignals, a startup based in Kefar Sava, Israel, relies on the artificial intelligence technique known as deep learning to understand the noise patterns of troubled machines and predict problems in advance. The startup has even chatted with companies about using their service to automatically detect problems in future taxi fleets of driverless cars.

Artificial carries a negative connotation. Artificial somehow imitates, is fake, or is subpar. It is negative, dare I say: icky. When we think of olestra vs. pressed organic olive oil, we think artificial vs. natural. One will have you running to the bathroom, the other promotes healthy levels of cholesterol.

Earlier this month, Apple made a splash when it told the artificial intelligence research community that the secretive company would start publishing AI papers of its own. Not even a month later, it's already starting to make good on that promise. Apple has published its very first AI paper on December 22. (The paper was submitted for publication on November 15.) The paper describes a technique for how to improve the training of an algorithm's ability to recognize images using computer-generated images rather than real-world images. In machine learning research, using synthetic images (like those from a video game) to train neural networks can be more efficient than using real-world images.

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

Computers powered by artificial intelligence are smart enough to threaten a range of jobs, whether computers developing treatment plans for cancer patients or Amazon.com That impact is already being felt. The World Economic Forum expects automation, including AI, to result in the loss of at least 5 million jobs globally by 2020. In the view of Genpact (G) CEO NV "Tiger" Tyagarajan, however, the bigger question is how many jobs such technology will ultimately create. Amazon is opening a new brick-and-mortar store, but without a checkout line.

Earlier this month, Apple made a splash when it told the artificial intelligence research community that the secretive company would start publishing AI papers of its own. Not even a month later, it's already starting to make good on that promise. Apple has published its very first AI paper on December 22. (The paper was submitted for publication on November 15.) The paper describes a technique for how to improve the training of an algorithm's ability to recognize images using computer-generated images rather than real-world images. In machine learning research, using synthetic images (like those from a video game) to train neural networks can be more efficient than using real-world images.