CES 2017, is expected to feature the latest auto technology, including self-driving and concept cars. The show will run from Jan. 5-8 in Las Vegas with Jan. 3 and Jan. 4 being press days. Here's what you can expect to see from automakers at one of technology's biggest events: Ford will reveal its next generation Fusion Hybrid autonomous development car at CES 2017, after giving the public a glimpse of the car in a video before the show. The new vehicle comes with new electrical controls and two 360-degree view LiDAR sensors. The car's updates are focused on its virtual driver system, with the vehicle's brain located in the trunk, the company says.

Salt Lake City-based company Recursion Pharmaceuticals was recognized Tuesday for its drug discovery platform, which combines both the innovation of artificial intelligence and the mystery of experimental biology. Recursion Pharmaceuticals received two Fierce Innovation awards from the biotech and pharmaceutical industries as recognition for their platform, which is said to increase the rate at which drugs can be discovered. "Traditional drug discovery can take more than a decade and billions of dollars per approved compound," Recursion's co-founder and CEO, Chris Gibson, said in a news release. "Recursion's platform can radically increase the scale at which drugs are discovered, saving years of development time and the associated costs." The platform uses tons of microscopic pictures of human cells, including diseased cells and cells that have been treated with different chemicals and drugs, and utilizes image recognition to identify which parts of the cell change when afflicted with a disease or treated with a drug.

Along with an entire generation of comic book fans, Chao Wang grew up following the exploits of Wolverine, a.k.a Now an assistant professor of chemistry at University of Califormia, Riverside, Wang recently paid tribute to his childhood hero, in a chemical engineering sort of way. Wang and a group of collaborators have developed a transparent and stretchable material that could give future robots the ability to heal rapidly, similar to Wolverine's handy superpower. According to the research team, the space-age material could power artificial muscles that mend themselves after injury or normal wear-and-tear. Researchers say that the artificial skin represents the first time scientists have created an ionic conductor that's stretchable, transparent and able to heal itself.

On Facebook, headlines are often more important than the articles themselves. Most headlines are browsed, not clicked -- think about your own Facebook behavior; How often do you click on links? Because of this, the headlines frame our positions on topics without even having to read the content. It's quick, simple, and we feel informed. But with respect to politics, this news feed browsing behavior creates an electorate that can become dangerously uninformed.

Testosterone has long been associated with aggression and competition in men. But the versatile sex hormone can also impact a range of emotional states including empathy, generosity, of corruption, and risk taking. Experts speculate that there may be more to the hormone than first thought, and that testosterone could be just as useful for cooperation as competition. Testosterone has long been associated with aggression and competition in men. It seems that for every question scientists answer on testosterone, more are raised in its place.

Apple has stayed true to its promise and published its first academic paper on artificial intelligence. The world's most valuable company has traditionally kept its AI research private but earlier this month Ruslan Salakhutdinov, director of AI research at Apple, made a pledge to start being more open. The new Apple paper -- published December 22 and titled "Learning from simulated and unsupervised images through adversarial training" -- gives an insight into some of the techniques that Apple is using to develop AI. In the study, which was published through the Cornell University Library, Apple researchers explain a technique that can be used to improve how an algorithm learns to "see" what is in an image. The paper's six authors state that using synthetic images (such as those seen in a video game), as opposed to real-world images, can be more efficient when it comes to training AI models known as neural networks, which are designed to think in the same way as the human brain. Because synthetic image data is already labelled and annotated while real-world images aren't.

What are lift, KPI, robustness, model fitting, design of experiments, and the 80/20 rule? Answer: KPI stands for Key Performance Indicator, or metric, sometimes called feature. A robust model is one that is not sensitive to changes in the data. Design of experiments or experimental design is the initial process used (before data is collected) to split your data, sample and set up a data set for statistical analysis, for instance in A/B testing frameworks or clinical trials. The 80/20 rules means that 80 percent of your income (or results) comes from 20 percent of your clients (or efforts). What are collaborative filtering, n-grams, Map Reduce, and cosine distance?

It's the lot of every sports fan to sit on the sofa watching their stars play and think "I could do that, if I tried" safe in the knowledge that no one is ever going to call them on that claim. In fact, the temptation to cast yourself as an undiscovered star is all the greater, given the general absence of any physical feats of strength or agility. Professional video gaming differs from traditional sports in other ways too. One of the more interesting ones is a very real flow from casual to professional. No matter how good you are during your Sunday kickabouts in the park or your weekly squash matches, winning them won't see you steadily rise up the ranks, eventually taking on the best in the world for prestige and glory. In late November, I decided I would try. How hard can it be to become a professional gamer, really?

Note: AWS Machine Learning is not part of free-tier. So, you will incur a small charge when creating and running prediction on models. For this course, I spent USD 5-6 total for creating and testing all models. This course is designed to make you an expert in AWS Machine Learning and it teaches you how to convert your cool ideas into highly scalable products in a matter of days. Biggest challenge for a Data Science professional is how to convert the proof-of-concept models into actual products that your customers can use.

Thank you all for the huge response to this emerging course! We are delighted to have over 2300 students in over 102 different countries and for the overwhelmingly positive and thoughtful reviews. It's such a privilege to share this important topic with everyday people in a clear and understandable way. In this introductory course, the "Backyard Data Scientist" will guide you through wilderness of Machine Learning for Data Science. Accessible to everyone, this introductory course not only explains Machine Learning, but where it fits in the "techno sphere around us", why it's important now, and how it will dramatically change our world today and for days to come. We'll then explore the past and the future while touching on the importance, impacts and examples of Machine Learning for Data Science: To make sense of the Machine part of Machine Learning, we'll explore the Machine Learning process: Our final section of the course will prepare you to begin your future journey into Machine Learning for Data Science after the course is complete.