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In order to explain the differences between alternative approaches to estimating the parameters of a model, let's take a look at a concrete example: Ordinary Least Squares (OLS) Linear Regression. In Ordinary Least Squares (OLS) Linear Regression, our goal is to find the line (or hyperplane) that minimizes the vertical offsets. Or, in other words, we define the best-fitting line as the line that minimizes the sum of squared errors (SSE) or mean squared error (MSE) between our target variable (y) and our predicted output over all samples i in our dataset of size n. The closed-form solution may (should) be preferred for "smaller" datasets -- if computing (a "costly") matrix inverse is not a concern. For very large datasets, or datasets where the inverse of XTX may not exist (the matrix is non-invertible or singular, e.g., in case of perfect multicollinearity), the GD or SGD approaches are to be preferred.

Inventor Ray Kurzweil made his name as a pioneer in technology that helped machines understand human language, both written and spoken. These days he is probably best known as a prophet of The Singularity, one of the leading voices predicting that artificial intelligence will soon surpass its human creators -- resulting in either our enslavement or immortality, depending on how things shake out. Back in 2012 he was hired at Google as a director of engineering to work on natural language recognition, and today we got another hint of what he is working on. In a video from a recent Singularity conference Kurzweil says he and his team at Google are building a chatbot, and that it will be released sometime later this year. Kurzweil was answering questions from the audience, via telepresence robot naturally.

Can computers be truly creative? More specifically, can people bestow upon machines what we know as creativity and have the machines thinking creatively? Google knows that an answer does not come easily and some people may argue that the answer is hairy. Do all people agree on what makes creativity creativity? Depending on what kind of definition you go by, if you build software that can take a note sequence and turn it into a melody by finding patterns where do you place it on the scale of creativity?

The danger-sensing abilities of the newly developed robot system far exceed those of the Robot in the classic TV series Lost in Space. The danger-sensing abilities of the newly developed robot system far exceed those of the Robot in the classic TV series Lost in Space. Researchers are developing a system to teach robots how to feel pain. That might seem counterintuitive, as IEEE Spectrum points out. After all, "One of the most useful things about robots is that they don't feel pain."

Over 1B has been invested in AI-Infrastructure startups since 2010 with 340M being invested in 2015. Over 7.5B has been invested in AI-Applications startups since 2010 with 2.3B being invested in 2015. This Artificial Intelligence Report has been produced by Tracxn for the BootstrapLabs Applied Artificial Intelligence Conference 2016.

There are seven key megatrends driving the future of enterprise IT. You can remember them all with the helpful mnemonic acronym CAMBRIC, which stands for Cloud Computing, Artificial Intelligence, Mobility, Big Data, Robotics, Internet of Things, CyberSecurity. In this post we dive deeper into Artificial Intelligence. Artificial Intelligence is the discipline of thinking machines. The field is growing dramatically with the proliferation of high powered computers into homes and businesses and especially with the growing power of smartphones and other mobile devices.

Who needs Art critics when a computer can do the job? Visitors to the Tate will be invited to access an Artificial Intelligence (AI) programme which uses algorithms to explain the relevance of works in the collection. "We can't wait to begin working with Tate, Microsoft and a talented team of AI specialists to create this living, seeing, algorithm." Tate Britain has awarded the 15,000 IK prize and a 90,000 production budget to the Italian team behind Recognition, a research project which will merge AI and art, to "uncover the hidden links between current events and art from the Tate collection." Supported by Microsoft, the Fabrica team, based in Treviso, will use powerful algorithms and "machine learning" to search through Tate's vast digital collection and archive and news images of current events, unearthing "hidden relationships between how the world has been represented in image form, in the past and present."

I recently mentioned to my 12-year-old daughter that artificial intelligence will be able to outsmart us by 2045. She got very upset, feeling that this would be the end of the human race and saying, "Then we can kill ourselves, otherwise we will be killed by them." My daughter's reaction was childish (which one would expect from a 12-year-old). But when world-leading technology and science visionaries also express concerns about the dangers of artificial intelligence, maybe we should pay attention. Physicist Stephen Hawking, technology entrepreneur Elon Musk and Microsoft founder Bill Gates have all expressed concerns that computers and smart technologies may eventually outsmart humans and, through calculations based in cold logic without regard to the value of human life, could lead to our own demise.

Intel has continued its strides into the IoT market through the acquisition of Itseez, a computer vision and machine learning company, reports BCN. Itseez, which was founded by two former Intel employees, specializes in computer vision algorithms and implementations, which can be used for a number of different applications, including autonomous driving, digital security and surveillance, and industrial inspection. The Itseez inclusion bolsters Intel's capabilities to develop technology which electronically perceive and understand images. "As the Internet of Things evolves, we see three distinct phases emerging," said Doug Davis, GM for the Internet of Things Group at Intel. "The first is to make everyday objects smart – this is well underway with everything from smart toothbrushes to smart car seats now available. The second is to connect the unconnected, with new devices connecting to the cloud and enabling new revenue, services and savings. New devices like cars and watches are being designed with connectivity and intelligence built into the device. "The third is just emerging when devices will require constant connectivity and will need the intelligence to make real-time decisions based on their surroundings.