Revolutionary Spam Firewall
PhysOrg.com reports that a Revolutionary Spam Firewall has been developed at the University of Queensland. It uses a support vector machine to categorize messages as a whole instead of using statistical probabilities based on individual keywords and other message properties. The developers claim the firewall is more accurate than they are at filtering out spam messages, and can detect the difference between a press release about Viagra and an add selling Viagra.
A startup firm has been created by UniQuest, the University’s commercialization company, to develop the firewall into a commercial product. I’ll be keeping an eye out for this one. I’ve seen claims of incredible accuracy before, but still have hopes it can be attained.