Two high school graduates who say they can't read or write are suing their respective public school systems, arguing they were not given the free public education to which they are entitled. Cornell Law School Professor William A. Jacobson, director of the Securities Law Clinic, told Fox News Digital the lawsuits signify a "much deeper problem" with the American public school system. "I think these cases reflect a deeper problem in education. For each of these cases, there are probably tens of thousands of students who never got a proper education -- they get pushed along the system," Jacobson said. "Unfortunately … we've created incentives, particularly for public school systems, to just push students along and not to hold them accountable."

Yi Yake and his boyhood friends grew up in a farming village in central China, swinging sickles to harvest the family wheat crop. Yi got a job marketing computer games. His friend worked in a fireworks store. Today Yi drives a white BMW and, along with two childhood buddies, employs over 200 people in what is quickly becoming a boom industry in China -- artificial intelligence. Their company, located in a city near their parents' village in Henan province, provides an essential early service in the AI process, labeling images and videos to help make computers smarter.

Their company, located in a city near their parents' village in Henan province, provides an essential early service in the AI process, labeling images and videos to help make computers smarter. Before a self-driving car can learn to avoid hitting people or trees, it must learn what people and trees look like -- by digesting thousands of images labeled by thousands of humans. Demand for labeling is exploding in China as large tech companies, banks and others attempt to use AI to improve their products and services. Many of these companies are clustered in big cities like Beijing and Shanghai, but the lower-tech labeling business is spreading some of the new-tech money out to smaller towns, providing jobs beyond agriculture and manufacturing. The science is mired in controversy in China, where the ruling Communist Party is using AI to help it identify and track people in mass-surveillance programs, most prominently in the largely Muslim province of Xinjiang, according to Human Rights Watch.

We study the effect of the introduction of university tuition fees on the enrollment behavior of students in Germany. For this, an appropriate Lasso-technique is crucial in order to identify the magnitude and significance of the effect due to potentially many relevant controlling factors and only a short time frame where fees existed. We show that a post-double selection strategy combined with stability selection determines a significant negative impact of fees on student enrollment and identifies relevant variables. This is in contrast to previous empirical studies and a plain linear panel regression which cannot detect any effect of tuition fees in this case. In our study, we explicitly deal with data challenges in the response variable in a transparent way and provide respective robust results. Moreover, we control for spatial cross-effects capturing the heterogeneity in the introduction scheme of fees across federal states ("Bundesl\"ander"), which can set their own educational policy. We also confirm the validity of our Lasso approach in a comprehensive simulation study.

The race for dominance in artificial intelligence will be to the 2020s what the space race was to the 1960s, and the competition is gaining on us fast. A dozen nations around the world, ranging from our closest ally, Canada, to our fiercest competitor, China, are pouring billions of dollars into AI research and development. Machines capable of making complex decisions independent from human input will bring economic change on the scale of the industrial revolution. Facebook already uses artificial intelligence to identify your face in newly uploaded photos. Computers can find tumors in medical images with greater accuracy than doctors.