That's the advice you might give a student struggling for a better grip on the ins and outs of language. On 18 February, Facebook released several data sets that it uses to train its home-grown neural networks. One is packed with the text of classic novels, such as The Jungle Book, Peter Pan, Little Women, A Christmas Carol and Alice in Wonderland. There are more than a hundred stories in all, taken from the free online library Project Gutenberg. It's a reading list for fledgling AI (see box below).

Google is expected to dive deeper into virtual reality and artificial intelligence Wednesday during an annual conference that serves as a launching pad for its latest products and innovations. Although Google keeps its plans under wraps until the big event, the conference agenda makes it clear that virtual reality and artificial intelligence, or "machine learning," will be among the focal points. That has spurred speculation that Google is getting ready to release a virtual-reality device to compete with Facebook's new Oculus Rift headset, as well as the Samsung's Gear VR and the Vive from HTC and Valve. Reporters and bloggers from around the world will attend, ensuring that whatever the company unveils will also be featured in stories, pictures and video delivered to a vast audience of consumers. The three-day showcase also attracts thousands of computer programmers, giving Google an opportunity to convince them why they should design applications and other services that work with its gadgets and an array of software that includes the Chrome Web browser and Android operating system for mobile devices.

Researchers from the Kuhl Lab at the University of Oregon explored how faces could be decoded from neural activity in the study Reconstructing Perceived and Retrieved Faces from Activity Patterns in Lateral Parietal Cortex, published in the Journal of Neuroscience. Hongmi Lee and Brice A. Kuhl tested whether faces could be reconstructed from the'angular gyrus' (ANG) located in the upper back area of the brain through functional magnetic resonance imaging (fMRI) activity patterns. They conducted the experiment by making facial reconstructions based on brainwave patterns from participants, initially during their perception of faces and later just from memory. Participants were shown more than 1,000 color photos of different faces, one after another, while an fMRI scan recorded their neural responses. The researchers then applied principal component analysis (PCA) to generate 300 'eigenfaces' - a set of vectors used in human face recognition.

Goal In today's summary we have a look at the expectation maximization algorithm that allows to optimize latent variable models when analytic inference of the posterior probability of latent variables is intractable. Motivation Latent variable models are itself interesting, because they are related to variational autoencoders and encoder-decoder frameworks that are popular in unsupervised and semi-supervised learning. They allow to sample from the data distribution and are believed to enhance the expressiveness of the hierarchical recurrent encoder decoder models. We can think of them as memorizing higher abstract information, such as emotional states that allow to generate sentimental utterances in the encoder. Steps In general we are concerned with finding good models, which means determining parameters of this model that can explain the data.

Structure Of Intelligent Agents 12. Types of agent program 13. Goal based Agents 14. Utility-based agents 15.

To pitch its cloud storage business, Google is leaning on its artificial intelligence features. Amazon, the market leader, is too. Now Amazon has recruited a leading expert in the field to up its game. Alex Smola, a top machine learning scientist at Carnegie Mellon University and research alum of Google and Yahoo, is moving over to run the "Cloud Machine Learning Platform" at AWS, he wrote in a post. Leaving CMU - Dear Friends, As some of you may have already heard, I'm leaving CMU to join Amazon.

Summary: What changes in your analytics and Big Data stack would you have to make if you only had 10 milliseconds to make a decision? There's an entire industry that has to live by that rule. This is a great story about the collision of ecommerce, digital advertising, predictive analytics, and AI in a new digital battleground, the automation and optimization of advertising targeting and spend. Like so many interesting opportunities this new market starts with a pain point and an unmet need. In this case the lag in digital advertising spend, particularly in mobile devices.

Microsoft, the famously conservative company best-known for producing office software like Windows, has taken the unexpected step of entering the burgeoning industry of marijuana. The company, founded by Bill Gates, announced a partnership on Thursday with Kind Financial, a Los Angeles firm that sells computer systems to governments that track legalized marijuana sales. Microsoft, which is headquartered in Washington, a state where recreational cannabis is now legal, is licensing Kind to sell Microsoft cloud services to authorities to monitor sales – rather than becoming directly involved in the trade itself. Kind, founded in 2013, sells pot tracking software to growers, sellers and governments. But even the cannabis company recognizes the foundations of its business is controversial in some quarters.

A lovely nonthreatening body for a robot that can see warm bodies. Gamma 2 Robotics' RAMSEE borrows the name of pharaohs, which is fitting since it works the graveyard shift. The security bot is an autonomous patrolman, rolling around empty halls and hard-to-surveil places, its LIDAR eyes and infrared cameras scanning the environment around it at all times. It is a robot built for empty spaces, alerting its human overseers to any harmful intrusion of life. And here, a pair of the robots scan a hallway before peering into the beyond.

Hanwha Techwin America (the Hanwha Group acquired Samsung Techwin America, but the companies agreed to keep Samsung in the product name) fixed one of the Samsung SmartCam HD's biggest weaknesses on Thursday by adding cloud storage to the product's feature set: Owners now have the option of subscribing to SmartCloud instead of relying on the onboard SD card that included with the camera. As we pointed out in our review, without this feature, you lose your forensic evidence of the crime if the thief steals the camera (or its SD card) during the break-in. The absence of cloud storage apparently wasn't lost on customers: Hanwha Techwin says feedback showed "an overwhelmingly high demand for cloud services." The SmartCloud subscription service comes in three tiers: 50 per year to store up to five days of continuous video, a 70 plan for seven days of storage, and a 200 plan to store up to 21 days. You can also subscribe on a monthly basis for 5, 8, or 20 respectively.