For a deep dive into the current state of AI and where we might be headed in coming years, check out our free ebook "What is Artificial Intelligence," by Mike Loukides and Ben Lorica. A few weeks ago, I wrote a post on the ethics of artificial intelligence. Since then, we've been presented with an excellent example to reflect on: the use of face recognition to identify people likely to commit crimes. In my post, I said that we need to discuss what kind of society we want to build. I'm reasonably confident that, even under the worst societal conditions, we don't want a society where you can be imprisoned because your eyes are set too closely together.

Corporate machine learning research may be getting a new vanguard in Apple. Six researchers from the company's recently formed machine learning group published a paper that describes a novel method for simulated unsupervised learning. The aim is to improve the quality of synthetic training images. The work is a sign of the company's aspirations to become a more visible leader in the ever growing field of AI. Google, Facebook, Microsoft and the rest of the techstablishment have been steadily growing their machine learning research groups.

When Apple said it would publish its artificial intelligence research, it raised at least a couple of big questions. When would we see the first paper? And would the public data be important, or would the company keep potential trade secrets close to the vest? At last, we have answers. Apple researchers have published their first AI paper, and the findings could clearly be useful for computer vision technology.

Germany composer Johann Sebastian Bach remains a staple in classical music. His illustrious works such as Brandenburg Concertos, the Goldberg variations and Mass B minor remain some of the most powerful pieces ever made. Bach spent over 50 years perfecting his ability to adapt rhythms, forms and textures from styles abroad. Many regard him as one of the greatest composers to have ever lived. And one new artificial intelligence system can recreate Bach's biggest achievements in just minutes. Fast forward to the 21st century where music is created by statistical models and artificial intelligence in no time.

Apple Inc. (NASDAQ:AAPL) made waves in the artificial intelligence world when it officially announced that it would start publishing artificial intelligence papers very soon. The Cupertino-based tech giant has done exactly what it promised and published its maiden AI paper. After submitting its artificial intelligence paper on Nov. 15, Apple's AI paper was officially published on Dec. 22. The paper discusses the different techniques of how a developer can improve the training of an algorithm's capability of recognizing different images which are computer generated and not from the real world. The technique is applicable in machine learning research where developers can apply such synthetic images, including those incorporated in video games, to train neural networks.

All of that job security musicians so enjoy is about to go right down the drain. Are We Nearing The Limits Of Technological Progress? The Singularity Arrives And Artifical Intelligence Goes Rogue In Today's Best Short'The Witch' Is A Lot Less Creepy When Edited As A Wes Anderson Movie Things Get Very Bloody In The First'Alien: Covenant' Trailer Today's Best Videos Are Already In Your Inbox Every day we send an email with the top videos from Digg.

The usually secretive Apple recently signaled that it would begin publishing artificial intelligence research, and now it appears that the first example of this has appeared online. The newly published research paper (via Forbes) is titled "Learning from Simulated and Unsupervised Images through Adversarial Training" and credits Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang, Russ Webb and Apple Inc. as its authors. The paper shows a publication date of December 22 although it was submitted for publication on November 15. That's just a few weeks before news reports that Apple was allowing its AI research team to publish their work for the research community. Because the AI research community generally makes its findings available through credited publication, the move is expected to help Apple recruit top-notch researchers without asking them to break community tradition.

One of the most commonly used methods of measuring human intelligence is the IQ test. However, this approach has received widespread criticism due to its perceived inability to capture the whole gamut of elements that determines human intelligence. Howard Gardner, proposed the theory of multiple intelligences in 1983. According to him, IQ tests have little relevance in reality. He denies there is general intelligence, and his theory instead suggests the presence of separate domains of ability.

LEMMiNO explains some of the potential positive and negative outcomes of humans developing advanced artificial intelligence. Although artificial intelligence is currently being used in a variety of ways, people like Stephen Hawking and Elon Musk have warned about the unchecked advancement of super-intelligent computers.

It can read lips and create new food recipes. It can win at chess, Jeopardy and the game Go. Every major technology company appears to be integrating it into how they organize and operate their business. And it seems like just about every new app in existence claims its software uses some sort of machine learning to make life even better. Artificial intelligence is splashed across headlines like never before.