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.

Alphabet Inc. (GOOGL - Analyst Report) owned Google on Monday unveiled a new A.I.-based digital assistance tool Springboard that can search across Google Apps like Gmail, Docs, Calendar, Drives and Contacts for particular information or documents. According to the company, Springboard is a work-focused digital tool that can assist users with useful and actionable information as well as recommendations. Prabhakar Raghavan, vice president of engineering for Google Apps, said in a blog post: "As we continue to invest in applying technologies like machine intelligence to power our web search engine, we're working on a new way to bring all of this power to the enterprise." The company also said that it will update Google Sites with website building features, an effort that we think will help boost Springboard's functionality. The updated version will allow business to create and design internal websites.

Artificial intelligence can now cook you a meal, chat to you on your phone, and beat you in a game of rock, paper, scissors. But Andy Rubin, who co-founded Android, believes that AI in the future will go one step further - being so powerful that it underpins every connected device. Mr Rubin said a combination of quantum computing and AI advancements could yield a conscious intelligence that would control every internet-enabled gadget. According to recent studies, certain jobs are already at risk of being replaced by automated workers. Accountants are 99 per cent likely to lose their jobs to machines.

Artificial intelligence (AI) keeps making news. It was front and center at the recent Code Conference and discussions since have covered everything from how quickly the technology will develop to what sectors will be impacted first--and whether we have anything to fear. With respect to that, concerns about who will control AI and how it will be used are coupled with calls for transparency. A new take on the man-versus-machine chess match, a contest that's symbolized the evolution of machine learning ever since Garry Kasparov beat IBM's Deep Blue twenty years ago, got me reconsidering what transparency in AI really means. "The Thinking Machine 6" is the latest iteration of a project that was introduced in 2002.