Intelligent information acquisition design beyond last mile challenge

Current designs of info tech (IT) are relying on a traditional backbone. The most serious bottleneck, however in users´ minds, is not the technology; rather the quality of service (QoS) for IP is not intelligent. Although our software-enhanced design is likewise constrained in hardware, but a recent breakthrough in the brain-style information science (BIS) based on the physics of unsupervised learning neural nets can enhance IP-user interface. BIS requires computational intelligence (CI), similar to human brains, as opposed to the current computer-central IT approach. Such a biological inspired approach is more general than the classical Shannon info theory for a closed equilibrium system. BIS can address a public concern to have an electronic office-mate for automatic semantic Web knowledge fusion which need (i) smarter search engine than current keyword matching. In conclusion, brain-style IS & IT is the wave of the future and shall use natural language voice interface for pairs of human-like hearing & seeing sensory inputs, which enjoy much less man-machine interface difficulty. Also it gives us human-like intelligence search engine in handling fuzzy memory fault-tolerance recall, as well as trust-worthy privacy and reliability of Web information.