Ross has four key strengths, according to its creators. First, the AI is able to answer questions with exact and pertinent responses. Unlike search engines, which give users many thousands of often-irrelevant replies, Ross delivers precise answers, without requiring lawyers to load questions with keywords. Second, Ross combs through legal texts and recent court decisions to identify changes to the law that might have a positive or negative impact on the case. Third, as a machine learning system, Ross becomes more sophisticated the more lawyers use it.

It's a little known but often dangerous problem: each year, 3,500 people in the U.S. -- mostly young children -- swallow button batteries. Normally, these batteries pass through the body without incident. But if they come into prolonged contact with esophagus or stomach tissue, the results can be harmful: the batteries can cause an electric current that produces hydroxide, which burns through body tissue. A postdoctoral student at the Massachusetts Institute of Technology, Shuhei Miyashita brought up this hazard to Daniela Rus, the professor who leads the Computer Science and Artificial Intelligence Laboratory. A simple experiment proved how hazardous the little batteries can be.

We are looking for a web designer to help spread the word about how H2O makes machine learning easy. You will work with marketers and product designers to make our messaging clear, concise and accessible on the web. H2O has already spread like wildfire in the data science community, now is the time to let the rest of the world know about it. Help us design and build a beautiful, maintainable web presence for H2O, and empower our marketing team and reach more customers. You don't need to be proficient in every aspect – what we are looking for is a strong core set of skills, the ability to improvise and a collaborative spirit.

TensorFlow is an open source software library for numerical computation using data flow graphs. In other words, the best way to build deep learning models. If you want to contribute to this list (please do), send me a pull request or contact me @jtoy Also, when you noticed that listed repository should be deprecated.

The MNIST database containing 60,000 examples for training and 10,000 examples for testing can be downloaded from LeCun's website. Instead of downloading the database and converting the data to actual images, we can use the helpful library MNIST digits, which creates test- and training sets automatically. If you're using the MNIST digits library, this is checked automatically. To improve the results, the number of elements in the training set and the iterations for the training should be increased.

Neural networks provide the possibility to solve complicated non linear problems. They can be used in various areas such as signal classification, forecasting timeseries and pattern recognition. A neural network is a model inspired by the human brain and consists of multiple connected neurons. For getting a deeper understanding, I recommend checking out Neural Networks and Deep Learning. Within the last years, multiple Javascript frameworks were developed that can help you to create, train and use Neural Networks for different purposes.

If you tell Siri to set an alarm for 5 am, she'll set an alarm for 5 am. But if you start asking her which prescription pain killer is least likely to upset your stomach, she's not really gonna know what to do--just because that's a pretty complicated sentence. Siri is a long way from what computer scientists call "natural language understanding." She can't truly understand the natural way we humans talk--despite the way Apple portrays her in all those TV ads. In fact, we shouldn't really be talking about her as a "her" at all.

The data generated every day is so massive that no imaginable manpower can comprehend it and turn into valuable and applicable insights without the help of smart machines. To give an idea, IDC estimated that the digital universe is doubling its size yearly and would reach 44 ZB in 2020 from 4.4 ZB of data generated in 2013. It also forecasted that the big data technology and services market will grow at a 26.4% compound annual growth rate to 41.5 billion through 2018, or about six times the growth rate of the overall information technology market. The ability to draw insights and the ability to optimally monetize available data would place companies in a unique position challenging established rules and processes.

Google wanted their bots to be smarter and eventually more conversational than the rest of the bots out there. And in order to do that they are technically feeding their AI machines with 2,865 romance novels so they could respond to conversations better. Google has been working on'educating' their AI engines for some time now, "For the past few months, Google has been feeding text like this to an AI engine - all of it taken from steamy romance novels with titles like Unconditional Love, Ignited,Fatal Desire, and Jacked Up" said Buzzfeed. Google believes that by doing so, they could potentially inject some'personality', conversational skills and who knows, maybe even a dash of'compassion' into their artificial intelligence technology. Andrew Dai, Google software engineer said in an interview with Buzzfeed "In the Google app, the responses are very factual...Hopefully with this work, and future work, it can be more conversational, or can have a more varied tone, or style, or register."

Robots play football in a demonstration of artificial intelligence at the stand of the German Research Center for Artificial Intelligence (Deutsches Forschungszentrum fuer Kuenstliche Intelligenz GmbH) at the CeBIT Technology Fair. There is no doubt that artificial intelligence (AI) plays a huge role in technology, education and research. AI is complex, but it is more efficient and reliable than humans when it comes to the workforce because it is fast and it doesn't get tired. According to new reports, AI investment continues to grow. Most of the things we see about AI springs from science fiction movies.