Google launched its new messaging app, Allo, late last night, and its unique name -- which means "other" or "different" by the way -- truly captures what it has to offer. Touted as a "smart" messaging app, Google Allo comes with advanced features designed to make texting and chatting extra-fun and more secure. According to Google's official blog, Allo makes replying to conversations easier and faster with its Smart Reply feature. What this does is, it recalls the typical responses of the user and presents the applicable ones as reply options to a message or a photo. This way, all the user has to do is to tap the response he or she favors.

Back when Google first announced its brand-new chat app Allo, the company told The Verge it would only store messages "transiently," not indefinitely. But since May, when the app was first announced at Google I/O, things have changed a bit in that regard. A Google spokesperson confirmed that messages are now stored on Google's end as long as that chat history is available on your personal device. But once you choose to delete the history, it's also deleted on Google's end -- so users do have control over just how long their messages persist for. Google told me that it made this change after the company pushed the app out to wide testing around the company; it found that the experience was better when it saved chat history for longer.

CUDA is of special interest to our users, since it dramatically boosts performance in parallel computations. This in turn significantly lowers the time required for tuning and training models. While we seamlessly support NVIDIA's cuDNN library of deep learning primitives, we also make the power and performance of the GPUs accessible to end users without cuDNN installed. This kind of stack - all in Java with a "native" backend, however, comes with it's own set of unique challenges. These native operations are essentially a set of independent individual operations applied to the same data.

Google announced the Allo instant messaging app, at this year's Google I/O conference alongside the Duo video chat app. Duo calls are fully encrypted, and Allo also features encryption, however, the company has now confirmed changes to how it stores non-incognito messages. With the launch of the Allo on Wednesday, Google says it will be permanently storing all non-incognito messages. Earlier in May, Google had stated that Allo will keep only temporary message logs. But it turns out that the company requires chats to be logged to provide more data to its machine learning algorithms, with the aim to improve the functionality of its Assistant and Smart reply features.

Words, like people, can achieve a lot more when they work together than when they stand on their own. Words working together make sentences, and sentences can express meanings that are unboundedly rich. How the human brain represents the meanings of sentences has been an unsolved problem in neuroscience, but my colleagues and I recently published work in the journal Cerebral Cortex that casts some light on the question. Here, my aim is to give a bigger-picture overview of what that work was about, and what it told us that we did not know before. To measure people's brain activation, we used fMRI (functional Magnetic Resonance Imaging).

September 21, 2016 -- NEW YORK – LexisNexis Legal & Professional today announced its intent to acquire privately held Intelligize, Inc., provider of the industry standard for U.S. Securities and Exchange Commission (SEC) intelligence. The acquisition would expand the LexisNexis securities and M&A offering with new content, innovative tools and analytics while complementing the capabilities of the company's existing securities solution, Lexis Securities Mosaic . Closing of the transaction is subject to certain customary conditions. Based in Reston, VA, Intelligize provides a leading analytics solution enabling legal, academic and business professionals to efficiently mine data and insights from SEC filings, M&A contracts, transactional agreements and corporate governance documents. This enables customers to streamline compliance processes, benchmark peer disclosures, clearly identify market standards, draft documents based on SEC filed precedent and clear SEC reviews in an efficient manner.

Four years ago an article was written for the Harvard Business Review by both Tom Davenport and DJ Patil entitled "Data Scientist: The Sexiest Job of the 21st century." The article predicted that the demand for skilled people in this area was only set to rise and as a recruitment/staffing specialist within this space, I can only confirm that this has come to pass. With this evolution, I now see the waters have become even harder to navigate, with companies now looking to hire people proficient in an even greater number of disciplines. That is why I wanted to do this post. As with any shortage, you need to get creative but from my perspective, I am often a little surprised at how little flexibility there is when looking to employ people for specialist niche roles.

People use their phones for messaging more than almost anything else. That's why companies like Apple, Facebook, and Snapchat are dumping truckloads into making it easier and more fun to send messages. In May at I/O, Google announced Allo, its latest foray into the brave new world of messaging. Now, the app is finally available on Android and iOS. Allo looks like most of the messaging apps you've probably already used before.

Oracle and Salesforce are both promising artificial intelligence assisted apps with capabilities including machine learning and natural language interaction. Here's what's behind the tech and when it gets real. Oracle and Salesforce both announced "AI" initiatives this week, but there are differences in the scope and scale of what's promised, the pace of their rollouts and even how they're talking about artificial intelligence. For starters, neither vendor is talking about to sort of sentient, general-purpose AI seen in science fiction depictions ranging from "Iron Man" and "Star Trek" to "The Terminator" and "2001 a Space Odyssey." Rather, both vendors are talking about assisting humans with "smart" apps that apply closed-loop machine learning and data science to combinations of customer data and third-party data.

If you believe everything you read, you are probably quite worried about the prospect of a superintelligent, killer AI. The Guardian, a British newspaper, warned recently that "we're like children playing with a bomb," and a recent Newsweek headline reads, "Artificial Intelligence Is Coming, and It Could Wipe Us Out." Numerous such headlines, fueled by comments from the likes of Elon Musk and Stephen Hawking, are strongly influenced by the work of one man: professor Nick Bostrom, author of the philosophical treatise Superintelligence: Paths, Dangers, and Strategies. Bostrom is an Oxford philosopher, but quantitative assessment of risks is the province of actuarial science. He may be dubbed the world's first prominent "actuarial philosopher," though the term seems an oxymoron given that philosophy is an arena for conceptual arguments, and risk assessment is a data-driven statistical exercise. So what do the data say? Bostrom aggregates the results of four different surveys of groups such as participants in a conference called "Philosophy and Theory of AI," held in 2011 in Thessaloniki, Greece, and members of the Greek Association for Artificial Intelligence (he does not provide response rates or the phrasing of questions, and he does not account for the reliance on data collected in Greece).