Clinton's campaign: Could machine learning and Java have prevented their failure to handle big ... Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

It's the Law of Accelerating Returns: When tech pundits try to predict the future, they always underestimate. The scientific reasoning: The more advanced a technology is, the faster it can progress -- precisely because it's more advanced. Just take a look at not only the progress of artificial intelligence and machine learning, but its proliferation of use cases, which is moving inevitably into the marketing realm. And this is the kind of growth explosion you want to be at the forefront of. It's why here at the tail end of 2016, we've watched over 200 AI-focused companies raise nearly $1.5 billion in funding, and have seen a 6X increase in equity deals to AI startups from 70ish in 2011 to almost 400 in 2015.

Uninformed Search: This is used when creating an action sequence that doesn't account for any changes along the way. Heuristic Functions: These allow for decisions to be made without accurate or complete information. Adversarial or Moving Agent Search: This is used when there are other entities making decisions that influence one another. Piotr Gmytrasiewicz, associate professor in the department of computer science at the University of Illinois at Chicago, teaches three courses: Artificial Intelligence 1, Artificial Intelligence 2 and Applied Artificial Intelligence.

I will update this article regularly. An old version can be found here and has many interesting links. All the material presented here is not in the old version. This article is divided into 11 sections. A laptop is the ideal device. I've been using Windows laptops for years, and I always installed a Linux layer (acting as an operating system on top of Windows), known as Cygwin. This way, you get the benefits of having Windows (Excel, Word, compatibility with clients and employers, many apps such as FileZilla) together with the flexibility and pleasure of working with Linux. Note that Linux is a particular version of UNIX. So the first recommended step (to start your data science journey) is to get a modern Windows laptop (under $1,000) and install Cygwin. Even if you work heavily on the cloud (AWS, or in my case, access to a few remote servers mostly to store data, receive data from clients and backups), your laptop is you core device to connect to all external services (via the Internet). Don't forget to do regular backups of important files, using serives such as DropBox. Once you installed Cygwin, you can type commands or execute programs in the Cygwin console.

You may know Watson as IBM's Jeopardy-winning, cookbook-writing, dress-designing, weather-predicting supercomputer-of-all trades. Starting today, 40 organizations will rely upon the clever computers cognitive power to help spot cybercrime. The Watson for Cybersecurity beta program helps IBM too, because Watson's real-world experience will help it hone its skills and work within specific industries. After all, the threats that keep security experts at Sun Life Financial up at night differ from those that spook the cybersleuths at University of New Brunswick. IBM researchers started training Watson in the fundamentals of cybersecurity last spring so the computer could begin to analysize and prevent threats.

MoneyLion secures $22.5M to bring fresh talent to AI finance management Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

Carol E. Reiley is the co-founder and president of Drive.ai. She previously founded Tinkerbelle Laboratories. During my Ph.D. studies, I developed a voice-activated human-robot interface for a surgical robotic system using Microsoft's speech recognition API. But, because the API had been built mainly by 20-30-year-old men, it did not recognize my voice. I had to lower my pitch in order for it to work.

Artificial intelligence is invading apps and businesses alike. AI is an intelligent technology that leverages data and applies what is learned from certain contexts to make predictions. I ordered more DOTS for Christmas presents! They monitor the choices I make and inserting them into a learning algorithm, it makes recommendations that they think that I will be interested in. Now, I am still on the wait list for it for myself, but I interface with her daily from my friends.

Uber's Self-driving Truck Just Went On A Massive Beer Run Uber wants to fly you to your destination in a drone Uber's Self-driving Truck Just Went On A Massive Beer Run Remember this scene from Total Recall? It might not be too long before your Uber rides take on a strikingly similar feel thanks to the company's new AI lab. On their company blog this week, Uber excitedly announced the acquisition of machine learning startup Geometric Intelligence. Part of GI's mission is to "redefine the boundaries of machine learning through innovative, patent-pending techniques." What does that mean for Uber?

We generate data when using an ATM, browsing the Internet, calling our friends, buying shoes in our favourite e-shop or posting on Facebook. Which customers should participate in our promotional campaign for a given product in order to maximize response? Which customers should be paid special attention to, as they might be considering resigning from using our services? Is a particular customer trustworthy and does he/she qualify for a mortgage loan? Which customers should participate in our promotional campaign for a given product in order to maximize response?