South by Southwest has unveiled its list of featured speakers for the upcoming fest, which includes the cast of Veep, Seth Rogen and exec producers of AMC's, Better Call Saul's Bob Odenkrik, John Cena, and more. The fest, which runs from March 10-19, will feature discussions from fields in tech, film, music, television, business, literature, government and journalism. Check out the list below. Jessica Shortall (Social Impact) – Jessica is the Managing Director of Texas Competes, a coalition of more than 1,200 Texas companies making the data-driven case for Texas to be welcoming to LGBTQ people. This business-oriented voice has become a national model.

An expert in the field of Artificial Intelligence, Dr. Ben Goertzel delves into the evolution of the internet, the technological singularity, and the fact that synthetic intelligence will be achieved within a few decades.

An army of robots has invaded London's Science Museum on a mission to teach humans their 500-year-old history. Opening on Wednesday, the new exhibition explores humanity's centuries old quest to re-imagine people as moving, talking and thinking machines. More than 100 robots are on display, ranging from a 16th century automaton monk to characters from science fiction films and research lab creations. London's Science Museum is hosting an exhibition to teach visitors about the rise of the robots over the last 500 years. Pictured is a Telenoid communication android from Japan on display.

Quadcopter drones are great for aerial photography, racing, and backing up Lady Gaga during the Super Bowl halftime show. But puny propellers don't cut it for serious jobs, which is why military missions and humanitarian aid drops use unmanned aerial drones that resemble airplanes. Fixed-wing drones can fly further and carry more. The trouble is, winged aircraft can't takeoff or land vertically like quadcopters, and the hybrid machines that combine the utility of wings and the ease of quads tend to be complex and expensive. Further compounding the challenge, fixed-wing drones need runaways, which you don't often find in the remote locations where drones are most useful.

In the coming decades, artificial intelligence will replace a lot of human jobs, from driving trucks to analyzing X-rays. But it will also work with us, taking over mundane personal tasks and enhancing our cognitive capabilities. As AI continues to improve, digital assistants--often in the form of disembodied voices--will become our helpers and collaborators, managing our schedules, guiding us through decisions, and making us better at our jobs. We'll have something akin to Samantha from the movie Her or Jarvis from Iron Man: AI "agents" that know our likes and dislikes, and that free us up to focus on what humans do best, or what we most enjoy. Anyone who's used Siri (on Apple products) or Alexa (on Amazon Echo) has already spoken with a digital assistant.

Bayesian inference is a way to get sharper predictions from your data. It's particularly useful when you don't have as much data as you would like and want to juice every last bit of predictive strength from it. Although it is sometimes described with reverence, Bayesian inference isn't magic or mystical. And even though the math under the hood can get dense, the concepts behind it are completely accessible. In brief, Bayesian inference lets you draw stronger conclusions from your data by folding in what you already know about the answer. Bayesian inference is based on the ideas of Thomas Bayes, a nonconformist Presbyterian minister in London about 300 years ago. He wrote two books, one on theology, and one on probability. His work included his now famous Bayes Theorem in raw form, which has since been applied to the problem of inference, the technical term for educated guessing. The popularity of Bayes' ideas was aided immeasurably by another minister, Richard Price. He saw their significance, refined them and published them. It would be more accurate and historically just to call Bayes' Theorem the Bayes-Price Rule.

A steady pencil-pour of steamed milk right in the heart of the espresso a Flat White dot in the making. Among many others, you know. One of our core principles is taking care of one another. That means mutual support, both professionally and personally. This ethos extends to our customers, who we figuratively (and sometimes literally) smother in hugs.

The news feed below is from my #4IR page. As always, my focus is on investing. The Fourth Industrial Revolution represents change, with tech innovation leading to industrial and economic disruption. The three pillars of THIS Industrial Revolution are Agtech, Fintech, and Artificial Intelligence (in all it's shapes in sizes, from Big Data IOT to Deep Learning). Which companies can we invest in TODAY to take advantage of the Fourth Industrial Revolution?

Companies need to develop strategies for building and retaining critical and scarce cybersecurity skills--by, for example, making acquisitions, hiring outside talent, training existing staff, partnering, and outsourcing. Many products and services--a mobile base station, for example--are created using components from other companies. The security of an end product is only as strong as its weakest part. Finally, cybersecurity is an important organizational issue. Companies need to train their people to deal with these risks, and they have to build a culture and a mindset that are grounded in accountability, prevention, recognition, and responsiveness.

This tutorial series shows how you can create a chatbot that can be deployed on two messaging applications: Facebook and Slack. In this final tutorial, I explain how you can enhance the chatbot by using IBM Watson Services. The news chatbot in this series uses developerWorks content as an example, but you can modify the content source to meet your own needs. In a previous tutorial, I described the importance of artificial intelligence (AI) in your chatbots and explained how it's hard to build your own AI--it requires not only rock stars in data science, but also a massive amount of data to train models. A small company typically does not have these kinds of resources.