If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The Technische Universität (TUU) KIWI biolab, which has been designated as one of three international artificial intelligence (AI) future laboratories by the German government, uses AI to design experiments with the aim of understanding how cells behave. "We cultivate various clones in parallel, and computer-controlled robots perform the fed-batch experiments and analyses automatically," explains Peter Neubauer, PhD, who heads the department of bioprocess engineering at TU Berlin. Experimental data is used to create "digital twins" of the cells that can be used for computer-based process development, he says. Neubauer developed the automated laboratory to multiply the number of cell lines he could analyze in parallel. "Currently in our facility we can do this for a large number of cells–for 48 different clones," he adds.
It goes without saying that humans are the intended beneficiaries of the AI applications and autonomous systems that data scientists and developers are creating. But what's the best way to design these AI apps and autonomous systems to maximize human interaction and human benefit? That's a tougher question to answer. It's also the focus of human factors specialists, who are increasingly in demand. Datanami recently caught up with one of these in-demand human factors specialists.
The design of embedded systems, that are ubiquitously used in mobile devices and cars, is becoming continuously more complex such that efficient system-level design methods are becoming crucial. My research aims at developing systems that help the designer express the complex design problem in a declarative way and explore the design space to obtain divers sets of solutions with desirable properties. To that end, we employ knowledge representation and reasoning capabilities of ASP in combination with background theories. As a result, for the first time, we proposed a sophisticated methodology that allows for the direct integration of multi-objective optimization of non-linear objectives into ASP. This includes unique results of diverse sub-problems covered in several publications which I will present in this work.
There's more than one way to build a paywall. Over the last year, Swiss news publisher Neue Zürcher Zeitung has been using a payment system that is personalized to the individual based on hundreds of criteria. NZZ requires people to register and eventually, pay. But when readers get these registration and payment messages and how those messages look varies based on predefined rules, dozens of A/B tests and machine learning. "If we're to be successful in paid content, we need to individualize the experience with our product and the product itself, and automate our marketing approach," said Steven Neubauer, managing director at Neue Zürcher Zeitung.
Though much has changed since then, scientists long believed that our species still retained one common feature - our brains. It turns out that our brains actually look much different from our ancestors that lived hundreds of thousands of years ago. Now a team of scientists have discovered, for the first time ever, exactly when our brains began to take on their unique, modern shape. A team of researchers from the Max Planck Institute for Evolutionary Anthropology in Germany pinpointed the period when the human brain achieved its current form as being between 100,000 and 35,000 years ago. New research from a team of scientists in Germany pinpoints the exact period when our brains achieved their modern shape.