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The time it takes for new products to come to market is getting ever shorter. As a consequence, goods are being produced using manufacturing facilities and IT systems that were designed with completely different models in mind. Fraunhofer developers want to make factories smarter so they can react to changes of their own accord.

There is a vitally important national and state-level discussion taking place about how to address the government's frighteningly large deficits while limiting disruptions for all Americans. But while federal and state actions affect us all, much of what concerns Americans most directly and personally happens closer to home and increasingly, this means in our cities. Budget cuts simply can't derail efforts to make our cities smarter. Today our nation's cities are facing a "perfect storm." For many cities, their populations are growing at the same time that their budgets are shrinking. Today, for the first time, more than 50% of the world's population lives in cities. In the last decade large metropolitan areas in the U.S. grew by a combined 10% - nearly double the rate of the rest of the country. Our large metro areas now house two thirds of America's total population. They have become the dominant forces in our economy and society.

Medical ethicist Harvey Fineberg shows us three paths forward for the ever-evolving human species: to stop evolving completely, to evolve naturally - or to control the next steps of human evolution, using genetic modification, to make ourselves smarter, faster, better. Neo-evolution is within our grasp. What will we do with it?

At PdF Europe 2010

Google recently announced that it will help fund groundbreaking research by computer scientists and economists at Tel Aviv University.  The Blavatnik School of Computer Science is attempting to help computers make better decisions using a term they dubbed "regret." Head of the program Professor Yishay Mansour began this project earlier this year at the International Conference on Learning Theory in Haifa, Israel.  He and the other researchers are working on algorithms that would allow computers to learn from their past failures in an effort to make better predictions.  This is referred to as "minimizing virtual regret" by Mansour. "If the servers and routing systems of the Internet could see and evaluate all the relevant variables in advance, they could more efficiently prioritize server resource requests, load documents and route visitors to an Internet site, for instance," says Mansour.