As of this moment, there are more than 2 trillion posts on Facebook--a figure that expands by a billion each day. Perhaps best known as the guy who introduced Steve Jobs and Steve Wozniak, Bill Fernandez speaks out on Apple's founding magic, how love built the first Mac, and the interface of the future. The beauty of the internet, Packer said on Monday at EmTechDIGITAL 2016 in San Francisco, is that we now have "access to almost all the knowledge in world, from almost anywhere in the world." The "proliferation of languages and cultures on the internet," however, has created a unique problem: "There's a disconnect between the languages people speak and the content they want to access," he said. So, Facebook is using machine learning to grapple with issues like natural language understanding, translation, and interpreting slang.

Many people find recent advances in artificial intelligence (AI) quite alarming. Indeed, luminaries, ranging from Nobel laureate Stephen Hawking to technology pioneers Elon Musk and Bill Gates, have warned that artificial intelligence technology might be more dangerous to humankind than the atomic bomb. Oxford philosopher Nick Bostrum has argued that an "intelligence explosion" may lead to the extinction of humanity at the hands of rampant robots. These arguments distract us from the large and more imminent threat -- seismic loss of jobs, surging unemployment, and potentially calamitous social strife. This week, when the White House launches a sequence of workshops studying the future of AI, they should focus on the real dangers, not imaginary ones.

I recently wrote a blog post about artificial intelligence in the auditing industry and shared my predictions on which industries I expect to adopt AI next. The short answer was: all of them. I also suggested that adoption might be happening sooner that anyone previously thought, thanks to an announcement from Facebook last month. If you followed news from Facebook's F8 developer conference, which took place in April, you might be asking, "What's a chat bot?" It's essentially a computer program designed to simulate conversation with a user, and Facebook generated some buzz around the launch of its bots for Messenger platform, which has already signed on companies like CNN, Salesforce and Staples. But, at its core, a chat bot is also a form of artificial intelligence, and the mainstream adoption of them will in turn drive the mainstream adoption of AI.

Artificial Intelligence (AI) is the techniques that are used by the graphic engine to stimulate the human behavior in the characters that are part of a videogame. You can find it in every videogame. Characters who assign missions, the traders, the enemies, the final bosses or animals are examples of NPC s. Artificial Intelligence includes animations; hurt the enemies and positioning in the game. It allows you to develop your character to a point that it is able to act with the environment in order to benefit from it.

The later part of that decade saw folks in silicon valley companies formalize the title. When I started the research labs at eBay over a decade ago it was hard to imagine any work without data. While I had a team of engineers and scientists who looked at all aspects of data from infrastructure to algorithms to machine learning to vision, HCI and economics, none of them had the title of a "data scientist" (it wasn't a "sexy" title then) I saw each one as an expert in their respective field but who worked (or had to learn to work) with large amounts of data. The overall team could have been thought of as a data science team - as in "the elephant and the blindfolded men" story, each one bringing in IQ along a certain dimension and all of them together completing the story. It opened up opportunities for collaboration, learning techniques from other fields, realizing that there are similar techniques from other fields.

CHICAGO, IL--(Marketwired - May 12, 2016) - Narrative Science, the leader in Advanced Natural Language Generation (Advanced NLG) for the enterprise, has been invited to speak at EmTech Digital 2016. The annual conference, held by MIT Technology Review, focuses on emerging digital technologies and will take place at the St. Regis San Francisco on May 23 and 24, 2016. This year's conference convenes innovators, entrepreneurs and business leaders to examine artificial intelligence (AI) and the impact it will have across industry. AI already plays an active role in our day-to-day lives and the gathering will serve as a forum to discuss what's coming next in AI as it promises to be the greatest computing breakthrough of our time. Kristian Hammond, Chief Scientist of Narrative Science, will speak on May 23rd about the reemergence of AI, how the proliferation of data is fostering a new era of AI successes and the role of Advanced NLG as a communication layer between people and intelligent systems.

Now let me be clear: this video is a harbinger for the end of days. It is the culmination of so many of our fears: artificial intelligence left to its own devices, high stakes video gaming (listen: all gaming is high stakes if you're like me), and the Big Brother-y camera watching it all go down. Like feasting your eyes upon the oncoming trainwreck it is (can you tell I'm terrified of AIs?), I feel like I'm staring down the barrel of a very angry volcano from my bedroom window in Pompeii. Because surely robots that are able to learn are what will undo us all as a human race. But if you're all'eh, whatever!' about it -- why not watch this bot that learned how to play Super Mario World for your visual enjoyment!

The greatest bar to wise action and the greatest source of fear is ignorance. A tiny candle gives misleading light and throws huge and ominous shadows. The sun at noon gives great light and throws no shadows. It is time to get this whole problem of men and machines under a blazing noonday beam. Computers will never rob man of his initiative or replace the need for his creative thinking. By freeing man from the more menial or repetitive forms of thinking, computers will actually increase the opportunities for the full use of human reason.

This article is published in collaboration with The Conversation. Once the three-billion-letter-long human genome was sequenced, we rushed into a new "omics" era of biological research. Scientists are now racing to sequence the genomes (all the genes) or proteomes (all the proteins) of various organisms – and in the process are compiling massive amounts of data. For instance, a scientist can use "omics" tools such as DNA sequencing to tease out which human genes are affected in a viral flu infection. But because the human genome has at least 25,000 genes in total, the number of genes altered even under such a simple scenario could potentially be in the thousands.

Support Vector Machine has become an extremely popular algorithm. In this post I try to give a simple explanation for how it works and give a few examples using the the Python Scikits libraries. All code is available on Github. I'll have another post on the details of using Scikits and Sklearn. SVM is a supervised machine learning algorithm which can be used for classification or regression problems.