As if visiting the dentist wasn't scary enough, Orange County health officials are alerting parents to an outbreak of oral infections that appear linked to a children's dental office in Anaheim. At least one case of a Mycobacterial abscessus infection has been confirmed in a patient who visited the Children's Dental Group, in the 2100 block of East Lincoln Avenue in Anaheim, according to the OC Health Care Agency. The infection was detected after the child underwent a pulpotomy procedure to remove or treat an infected tooth, health officials said. The healthcare agency received multiple reports last week of children who had developed infections after undergoing the same procedure at the office. Eight children showed signs of "slowly progressive oral cellulitis" with dental abscesses and/or respiratory infections, officials said.

A few weeks ago, I was in the process of transitioning out from one project to another at work. This provided an awesome time window to read up on some of the long pending topics of interest. Machine learning topped that list. It is a field that has already permeated the technology world deeply but I had no understanding of what it is all about. Just a few weeks of surface level reading since then (and playing around with some of the tools) has left me pretty convinced that we are fast accelerating towards a general artificial intelligence.

Dataset from the U.S. Department of Education that includes various metrics on outcomes from degree-granting undergraduate institutions from 1996-2015, including student debt, college completion rates, job placement, and more

Today, the company is shifting gears on the question of how it will keep hold of and track that information: Evernote is migrating all of its data, including some 5 billion notes, to Google's Cloud Platform. As part of that, it will also start to use Google's machine learning APIs to help access and use that data in different ways. As a result, Evernote will be shutting down its previous storage architecture that was based around a private cloud infrastructure, along with some of its own tech. Evernote's new CTO Anirban Kundu told me the first two areas that will be replaced by Google's machine learning APIs are its voice recognition for speech-to-text translations; and natural language processing, used to help search for contextual content. Evernote says it will start the migration to Google in early October, with "a complete migration by the end of 2016."

UserReplay announced today the addition of a machine learning feature to its existing solution in order to better assist companies with gaining insight into their customers' online experiences and resolve issues in real time. UserReplay machine learning uncovers hard-to-discover revenue opportunities hidden in the powerful data set captured by UserReplay. UserReplay's machine learning algorithm uncovered the issue and the high-fidelity replay showed the retailer how to fix the problem. About UserReplay UserReplay's customer experience analytics solution enables businesses to discover the truth about their customers' digital experience.

UserReplay announced today the addition of a machine learning feature to its existing solution in order to better assist companies with gaining insight into their customers' online experiences and resolve issues in real time. UserReplay machine learning uncovers hard-to-discover revenue opportunities hidden in the powerful data set captured by UserReplay. The biggest benefit of UserReplay machine learning is its systematic and automatic uncovering of pain points that requires no human intervention. Analysts and consultants can now spend their time on more valuable endeavors while still gleaning comprehensive insights from mining customer experience data. For example, a leading national retailer's website was causing customers to see the error message "Sorry, some of the items in your basket just sold out." However, there was no indication of which item was sold out and none of the items when checked individually showed a stock warning.

If you really want to impress your friends and confound your enemies, you can invoke tensor products… People run in terror from the symbol. He was explaining some aspects of multidimensional Fourier transforms, but this comment is only half in jest; people get confused by tensor products. People who really understand tensors feel obligated to explain it using abstract language (specifically, universal properties). And the people who explain it in elementary terms don't really understand tensors. This post is an attempt to bridge the gap between the elementary and advanced understandings of tensors. We'll start with the elementary (axiomatic) approach, just to get a good feel for the objects we're working with and their essential properties.

Conversational interfaces will revolutionize the way we interact with computers, bringing artificial intelligence into everyday conversations and transactions. At Bot Day, you'll hear in-depth presentations from experts on how to implement AI-driven chatbots, with guidance on technology and frameworks, user experience, and business implications. Make plans to join us October 19, 2016 at the Mission Bay Conference Center in San Francisco for the first-ever O'Reilly Bot Day.

Deep learning can be understood as modeling high-level abstractions using data and a set of algorithms, with a deep graph and multiple processing layers of linear and non-linear equations. While it is largely a mathematical tool, the things that deep neural networks can do have surprised mathematicians. How can networks arranged in layers be quick to perform human tasks like face and object recognition if it has to go through layers of computations? This has perplexed mathematicians for sometime. However, what mathematics cannot makes sense of, physics explains simply.

U.S. chipmaker Nvidia nvda showed off on Monday a smaller and more efficient artificial intelligence computer for self-driving cars, saying it would power Baidu's bidu mapping and autonomous vehicle technology. Chinese web services company Baidu will deploy Nvidia's new Drive PX 2 as its in-vehicle car computer for its self-driving system, Nvidia said in a press release as it unveiled the computer at the GPU Technology Conference in Beijing. As more carmakers develop plans for self-driving technology to roll out in their vehicles in the next decade or less, Nvidia is trying to lower the barriers to entry, providing powerful computers to help automakers enter the market. Earlier this month, Nvidia and Baidu announced a partnership to develop a full self-driving car architecture from the cloud to the vehicle using both companies' expertise in artificial intelligence (AI). Nvidia said its new Drive PX 2 computer uses 10 watts of power and is half the size of the original version, launched in January.