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.

Earlier this month, Apple announced that it would allow its artificial intelligence researchers to publish research papers -- a major shift in the notoriously secretive company's policy. Now, just a few weeks later, the first of these papers has been made public on the preprint server arXiv. The paper -- titled "Learning from Simulated and Unsupervised Images through Adversarial Training"-- deals with intelligent image recognition technology. Specifically, it describes a technique that would enable a program to recognize and decipher computer-generated images. So far, this has not been possible because, as the researchers from Apple note, "synthetic data is often not realistic enough," and increasing the realism is "computationally expensive."

About two years ago, AT&T named Affirmed Networks a Domain 2.0 supplier for its virtual evolved packet core (vEPC), and the 5-year-old startup has taken off ever since. The company's claim to fame was jump-started by its vEPC running production traffic in LTE networks. This is important because at the time, not even companies like Ericsson or Alcatel Lucent were commercially shipping their vEPCs. Evolved packet cores are the complex network hardware that cellular data and voice networks rest on. And to be able to virtualize that was quite the accomplishment and performance enhancer for telcos.

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What Does Artificial Intelligence Mean in Human Resources and Recruiting? One of the most talked about trends in HR and recruiting in the second half of 2016 has been AI and artificial intelligence. Artificial intelligence is defined as "an ideal'intelligent' machine [that] is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal." It's a branch of computer science that uses machine learning algorithms that mimic cognitive functions; making machines more human-like. And who doesn't need more human-like functions in an industry that is called human resources?

The gaming sector has performed well in 2016, with many of the top names in the space, fromNintendo(NASDAQOTH: NTDOY) to chipmaker NVIDIA(NASDAQ: NVDA), posting solid returns.Well-received new content, impressive new technology, and renewed ideas about how to get both of those to consumers have helped the sector grow this year. Here were some of the winners in 2016, and what the future could hold for these companies. Forget GE! Heres how to play the largest growth opportunity in history Forget GE! Heres how to play the largest growth opportunity in history Though it was up around 80% before a mid-December sell-off, the company has still had a remarkable year. Nintendo's resurgence follows the company's decision to finally develop a mobile strategy and bring its timeless characters and stories into a modern age. Nintendo was one of the big winners with the Pokemon Go phenomenon that exploded worldwide this year, and the company announced a new game console called Switch to come out in 2017, which has helped to raise its stock price as well.