June 27, Baltimore, MD - Youth Laboratories, the organizer of the first beauty contest judged by a panel of robots today announced the inclusion of AntiAgeist, an algorithm evaluating the difference between the chronological age of contest participants and the age predicted by a system of deep neural networks trained to predict human age. "We are very happy to have AntiAgeist on our jury of robot judges, since this is a rather novel idea of looking at beauty through the prism of how successfully the person is aging. We encourage teams from all over the world to submit algorithms and ideas on how machines can evaluate human beauty to the Beauty.AI contest. Best algorithms will get monetary prizes and will be promoted worldwide", said Anastasia Georgievskaya, general manager of Beauty.AI. Insilico Medicine specializes in drug discovery and biomarker development for a broad range of diseases with a mission to accelerate and improve lead generation and pre-clinical studies within biotechnology and pharmaceutical industries.

It is every Top Gun's worst nightmare - an AI can can outmanoeuvre them in the air. Now researchers have tested their AI on a retired top gun - and left him stunned. Retired United States Air Force Colonel Gene Lee took on the AI in a simulator - and lost. An AI has beated Air Force pilots in simulated showdowns for the first time. Retired United States Air Force Colonel Gene Lee took on the AI in a simulator.

For the past six years, I've been developing Python Tutor (pythontutor.com), Thousands of people use it every day to run tens of thousands of pieces of code in seven languages: Python, Java, JavaScript, TypeScript, Ruby, C, and C . This tool has also become a platform for HCI, educational technology, and computing education research. Most recently, it formed the basis for my faculty job applications that got me a job at UC San Diego. How did this project grow from nothing to its current state? I've been wanting to write a "history of Python Tutor" article for a while now but never found a good time to do so.

A recent survey shows that people want self-driving cars to be programmed to minimize casualties during a crash, even if it causes the death of the rider. Trouble is, the same survey shows that people don't actually want to ride in cars that are programmed this way. That's obviously a problem--and we're going to have to get over it. These are the kinds of thought experiments that are taught to Ethics 101 students during the first weeks of class--but now they're actually being applied to real life. Similar to the vexing trolley problem, manufacturers are struggling to come up with new rules for autonomous vehicles to guide them when a crash is inevitable, and the lives of people, both inside and outside of the car, are at stake.

Data mining is everywhere, but its story starts many years before Moneyball and Edward Snowden. The following are major milestones and "firsts" in the history of data mining plus how it's evolved and blended with data science and big data. Data mining is the computational process of exploring and uncovering patterns in large data sets a.k.a. It is fundamental to data mining and probability, since it allows understanding of complex realities based on estimated probabilities. The goal of regression analysis is to estimate the relationships among variables, and the specific method they used in this case is the method of least squares.

In the quest to be able to keep driving in the coming years, more drivers 50 and up are eager to try the latest in car-safety tech that might help them stay behind the wheel, a new study finds. Some 76% of drivers in that age group surveyed say they would look for a car with the latest safety features, finds the online survey by insurer The Hartford. "Our findings indicate that some drivers, age 50-plus, would be more willing to drive in certain situations if they had particular technologies," said Jodi Olshevski, a gerontologist who is executive director of The Hartford Center for Mature Marketing Excellence. They study suggests "they associate advanced technologies with enhanced safety," They are looking for advanced safety features like blind-spot warning, crash mitigation, lane-departure warnings and advanced headlights. Some of new technologies pave the way toward self-driving cars, which are still a few years away.

A recent announcement out of the company reports, "XPRIZE, the global leader in incentivized prize competitions, today announced that registration is now open and guidelines are available for the 5 million IBM Watson AI XPRIZE, a four-year global competition challenging teams to develop and demonstrate how humans can collaborate with powerful artificial intelligence (AI) technologies to tackle the world's greatest challenges. The AI competition is XPRIZE's first open challenge where teams will define their own goals and create AI applications that solve some of humanity's most pressing challenges in areas such as healthcare, education, energy & environment, global development and exploration." Marcus Shingles, CEO of XPRIZE, commented, "In the coming decade, as XPRIZE strives to achieve its impact mission through incentive competitions and crowd-sourcing, we see tremendous opportunity in this emerging generation of problem solvers to use AI to solve humanity's grandest challenges… The IBM Watson AI XPRIZE is intended to promote and progress the notion of'AI for impact' among the global bold innovator crowd, both the established community of practitioners, as well as encourage newcomers to experiment and ultimately demonstrate how AI can be used as a tool for good." The article adds, "Teams have until December 1, 2016 to register through the XPRIZE website for the four-year competition, and then will have until March 1, 2017 to submit a detailed development and testing plan for their proposed solution. There will be three subsequent rounds of selection each fall during which a panel of expert judges will choose the top 10 teams that will advance to compete at IBM Watson sponsored events where they can receive Milestone Prizes."

Software agents are nothing new, but we're now entering a new wave of innovation relating to bots and artificial intelligence that has the potential to impact our lives at home and at work, and change how businesses operate. New applications for'intelligent' automation are springing up everywhere, with the potential to affect all of the processes and engagements that make organisations work… but where does it make sense to prioritise your efforts? From work automation to augmentation, what approaches are right for your use cases today? On Thursday July 21 we're running a free webinar where you'll learn about the factors driving the explosive growth of machine learning, how to build up a big picture of the opportunities and challenges, and how to give your business an edge. If you can't make it for the live webinar, we'll be recording the session and will make the recording available to view on The Advisor.

Y Combinator, the startup accelerator and investment firm that helped produce Airbnb, Dropbox, and Instacart, is embarking on a creation project arguably more ambitious than any company. "We want to build cities," wrote Y Combinator partner Adora Cheung and President Sam Altman in an announcement slated for release Monday. YC Research, Y Combinator's nonprofit arm, plans to solicit proposals for research into new construction methods, power sources, driverless cars, even notions of zoning and property rights. Among other things, the project aims to develop ways to reduce housing expenses by 90 percent and to develop a city code of laws simple enough to fit on 100 pages of text. Eventually the plan is to actually produce a prototype city.

The world's smallest lens has been created using 3D printing, and it's just twice the width of a human hair. Its makers claim the lens could lead to cameras the size of a grain of salt, revolutionising surgery, surveillance, robotics and drone technology. Researchers in Germany created a triplet lens device by combining three of the lenses into a'pinhead' device. It is capable of razor sharp images and can attach to the end of an optical fibre, and is thin enough to fit in the hollow of a syringe. Researchers in Germany have created the world'd s smallest lens using 3D printing.