When it comes to sex tapes, Donald Trump clearly doesn't get it. And that seems downright un-American. While abusing former Miss Universe Alicia Machado during an early-morning tweet, the Republican nominee for president of the United States called her "disgusting" and encouraged followers to look into her past, which, he said, included a "sex tape." Machado, for those not following the news cycle, is the beauty queen Trump previously berated for gaining weight and called "Miss Piggy" and "Miss Housekeeping." She since has become an American citizen and a vocal supporter of Hillary Clinton, who told her story at the first presidential debate.

Will "Miss Peregrine's Home for Peculiar Children" have a fairy-tale ending at the box office? While its final chapter has yet to be written, Tim Burton's fantasy film is earning pretty good grades at the multiplex so far. The picture about a group of extraordinary children collected 9 million on Friday, according to an estimate from distributor 20th Century Fox. That means the movie is on track to gross around 27 million by weekend's end -- a so-so start, considering the picture cost the studio 110 million to make. The weekend's other big debut, "Deepwater Horizon," lagged slightly behind in ticket sales Friday, with 7.1 million.

Machine learning is ubiquitous in our daily lives. Every time we talk to our smartphones, search for images or ask for restaurant recommendations, we are interacting with machine learning algorithms. They take as input large amounts of raw data, like the entire text of an encyclopedia, or the entire archives of a newspaper, and analyze the information to extract patterns that might not be visible to human analysts. But when these large data sets include social bias, the machines learn that too. If the source documents reflect gender bias – if they more often have the word'doctor' near the word'he' than near'she,' and the word'nurse' more commonly near'she' than'he' – then the algorithm learns those biases too, the researcher explains According to James Zou, Assistant Professor for Biomedical Data Science at Stanford University, machine systems are learning human biases when examples of such are included in the training set.

Microsoft Corp. MSFT 0.35 % took advantage of the departure of an influential executive to reorganize efforts around artificial intelligence, one of its strategic priorities. The company announced Thursday that it is concentrating its artificial-intelligence operation in one group. The move comes as Qi Lu, a highly regarded executive in charge of the Office products and Bing search-engine businesses, recovers from a bicycle injury sustained a few months ago. His recovery has been slow, a person familiar with the matter said. Harry Shum, who led the company's research efforts, now will lead artificial intelligence efforts as well, Microsoft said.

RAVN Systems, leading experts in Artificial Intelligence, Search and Knowledge Management solutions, announced today the launch of a RAVN ACE powered Robot for LPP (Legal Professional Privilege) review, allowing clients to automate the review of determining if material is subject to LPP. The LPP Robot uses state of the art AI (Artificial Intelligence) techniques to automatically read through vast document collections, such as case material in litigation, as well as other document types, to determine whether individual items are subject to LPP. The accuracy levels achieved by the Robot making these determinations now surpass traditional manual efforts and is several orders of magnitude faster. The solution exploits supervised iterative Machine Learning models inside the RAVN ACE (Applied Cognitive Engine) platform, meaning the Robot will become more accurate over time. It is a technological leap from legacy predictive coding methods that sometimes are used today.

Alphabet Inc's Google has renamed its business-to-business cloud computing brand and enhanced some enterprise applications using artificial intelligence, the company's latest gambit to better compete with Amazon.com and Microsoft Corp. in the lucrative cloud business. Discussing the rebranded Google Cloud, Diane Greene, senior vice president of Google's enterprise business, said the company has made good progress courting customers and improving its technology. Cloud computing uses remote internet servers to store, manage and process data, and Google offers a range of apps like word processing and email, as well as the ability to host data and offer resources for developers. The new name replaces the Google for Work brand. "We are closing the gap incredibly fast" with competitors, Greene, a former CEO of VMware who joined Google last year to ramp up its cloud business, told experts and journalists at an event.

Convergent TechFocus is a blog look at technology developments: IT, Audio Visual, Unified Communications and Collaboration (UCC), video conferencing, cloud and software-defined, mobility/BYOD, Internet of Things, cybersecurity and more. This blog focus is on Microsoft Ignite, which took place this week in Atlanta, GA. Two major technology categories discussed here: Skype for Business UC and videoconferencing solutions, and Artificial Intelligence (AI) as an emerging trend in enterprise business. Microsoft Ignite kicked off on Monday with exceptional keynotes throughout the day. In his opening Keynote, Scott Guthrie, Executive Vice President, Microsoft focused on how technology enables digital transformation and demonstrated new technologies.

This is the 3rd part in my Data Science and Machine Learning series on Deep Learning in Python. At this point, you already know a lot about neural networks and deep learning, including not just the basics like backpropagation, but how to improve it using modern techniques like momentum and adaptive learning rates. You've already written deep neural networks in Theano and TensorFlow, and you know how to run code using the GPU. This course is all about how to use deep learning for computer vision using convolutional neural networks. These are the state of the art when it comes to image classification and they beat vanilla deep networks at tasks like MNIST.

This team has decades of practical experience in working with Java and with billions of rows of data. If you are an analyst or a data scientist, you're used to having multiple systems for working with data. With Spark, you have a single engine where you can explore and play with large amounts of data, run machine learning algorithms and then use the same system to productionize your code. Analytics: Using Spark and Python you can analyze and explore your data in an interactive environment with fast feedback. The course will show how to leverage the power of RDDs and Dataframes to manipulate data with ease.

In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts. Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning. Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.