EE Times

IBM recently unveiled its Accelerated Discovery Lab (ADLab), which aims to augment the data-mining concept in practical application domains with smart analytics derived from its Watson question-and-answer technology combined with deep domain knowledge for each area being researched. "Instead of looking for answers that are already known--where it's just a matter of finding them--we are learning how to search for things that are not yet known," says IBM's Jeff Welser. IBM has assembled domain expertise in biology, medicine, finance, weather, mathematics, computer science, and information technology. The goal is to accelerate the pace of discovery in each of these areas by automating the process of uncovering new governing principles in each domain. "The significance of Moore's Law for big data is not so much that the amount of data is doubling every year, but rather in how one can discover which elements of that data are relevant, which can actually be utilized, and which will provide more context when trying to solve specific problems," Welser says. To read further, please visit http://www.eetimes.com/document.asp?doc_id=1319758.