We've talked a little about how the AI in our existing devices works and how it needs to improve moving forward in order to better assist us. What is the next big move in AI though? Well, many think it will be an artificial intelligence living right in your ear. In fact, it seems that in-ear assistants similar to the one featured in the movie Her aren't science fiction at all; but rather an imminent reality. There are obviously a million different implications if this fully comes to fruition. But, specifically, what does this mean to you as a business person?

Artificial intelligence might eventually be the key not just to smartphones but to all connected things, according to Android co-founder Andy Rubin. And a single AI may power them all. "If you have computing that is as powerful as this could be, you might only need one," Rubin told attendees at Bloomberg's Tech Conference in San Francisco Tuesday. "It might not be something you carry around; it just has to be conscious." Data will pave the way for AI to reach its potential, Rubin continued, so sensors and robots will play a crucial role by gleaning information and learning from their environments.

The traditional definition of artificial intelligence is the ability of machines to execute tasks and solve problems in ways normally attributed to humans. Some tasks that we consider simple--recognizing an object in a photo, driving a car--are incredibly complex for AI. Machines can surpass us when it comes to things like playing chess, but those machines are limited by the manual nature of their programming; a 30 gadget can beat us at a board game, but it can't do--or learn to do--anything else. This is where machine learning comes in. Show millions of cat photos to a machine, and it will hone its algorithms to improve at recognizing pictures of cats.

After the second day of Apple Inc. (NASDAQ: AAPL)'s 2016 Worldwide Developers Conference (WWDC), Global Equities Research's Trip Chowdhry shared some insights into the company's major Machine Learning and Deep Learning initiatives and architectures. As per the report, Apple is using Recurrent Neural Network (RNN), utilizing Long Short Term Memory (LSTM) algorithms, which are built on Theano Framework and run on NVIDIA Corporation (NASDAQ: NVDA) GPU's. This is, in fact, the deep learning system that will power the soon-to-be-released iOS 10 Messaging Platform, Siri Platform and a portion of Apple Maps, in addition to the SpotLight, Photos and Music apps/functionalities. "The Training set, Validation Set and Test Set are all done on a hybrid of Apple Cloud" and Amazon.com, The expert went on to explain that, once the Deep Learning model reaches the testing error threshold, it gets pushed as an iOS update. Moreover, it should be noted that this process is continuous, "as the Neural Network model continues to refine itself based on various parameters," he added. Moving on to Apple's TF-IDF (Term Frequency - Inverse Document Frequency) algorithm, Chowdhry explicated that it is implemented in Caffe Deep Learning Framework.

This controversial question is argued by many who hold very strong opinions.

FAIRFAX, VA--(Marketwired - June 15, 2016) - Invincea, the leader in advanced endpoint threat protection, announced today that it is the first machine learning based endpoint security company to join the Anti-Malware Testing Standards Organization (AMTSO). Participation in AMTSO furthers Invincea's mission of addressing the global need for improvement in third party testing based on scientific objectivity, quality, and relevance of anti-malware testing methodologies. Hundreds of millions of new pieces of malware are created a year, wreaking havoc on enterprises across industries against the backdrop of obsolete anti-malware approaches. To combat the scourge of malware that evades traditional anti-malware systems, the next-gen endpoint security market has exploded with new companies bringing products to market with fantastic claims. To date, these companies have not been held accountable to their marketing claims by independent scientifically valid testing on the merits of their product technology and approaches.

DLA Piper will use artificial intelligence technology by Kira Systems for due-diligence document review in mergers and acquisitions. Kira's machine-learning software searches texts in contracts, then creates a summary and analysis, according to a press release announcing the deal. Such software is designed to get smarter as it is used. Jonathan Klein, chair of DLA Piper's U.S. mergers and acquisition practice, said in the press release that the technology will make due diligence faster and more efficient, and will mitigate risk throughout the due diligence practice. "We believe that this innovative technology will do for corporate transactional work what e-discovery has done for litigation," he said. DLA Piper already tried the software in its corporate, intellectual property and technology practices.

Note: All DigitalGov University events take place in Eastern Time. Join us for an afternoon with innovative public servants and industry leaders and learn how automated services powered by government data and new advances in artificial intelligence and machine learning, including chatbots, can help improve and expand digital customer service initiatives, and make our public services more open, responsive, informative and accessible. For more information, or to request that your organization participate, please contact Justin Herman at justin.herman@gsa.gov.

In a talk in Pittsburgh in 1997, the late evolutionary biologist Stephen J. Gould allegedly characterized humans as "the primates who tell stories." Psychologist Robyn Dawes went much further, suggesting humans are "the primates whose cognitive capacity shuts down in the absence of a story." To be sure, we love a good story. Research suggests that anecdotes can be as persuasive as hard data, and that jurors are influenced by the quality of the prosecution's and defense's "stories" when deciding whether to find a defendant guilty. Even in science, we seek explanations, not mere descriptions; in history, we want a good narrative, not a mere sequence of events. Or do they offer something more?

The Singularity is a term you'll find in science and in science fiction. It was coined by mathematician John von Neumann to define a theoretical moment when the artificial intelligence of computers surpasses the capacity of the human brain. The term is borrowed from physics and quantum mechanics, where the term gravitational singularity is used in the study of black holes. These events are all considered singular because we are unable to predict what happens next; the disruptive degree of change associated with the event is simply too great for our current body of knowledge. While we are far from attaining the goal of artificial intelligence, there was a brief flurry of excitement recently when a computer passed the Turing Test, to mixed reviews.