Symbiotic Cognitive Computing

Symbiotic Cognitive Computing

ardy! winning against the two best players of all time, Brad Rutter and Ken Jennings (Ferrucci et al. 2010). Since this demonstration, IBM has expanded its research program in artificial intelligence (AI), including the areas of natural language processing and machine learning (Kelly and Hamm 2013). Ultimately, IBM sees the opportunity to develop cognitive computing — a unified and universal pl...

Embarrassingly Distributed Computing for Symbiotic Weather Forecasts

The spatial resolution of publicly available numerical weather forecasts is largely limited by the computing resources of the originating weather services. Only selected parameters are available to the public from many weather services. We present a scalable system for distributed computation of high resolution symbiotic numerical weather forecasts. Each forecast is computed on the user’s deskt...

Cognitive Computing

Complexity and Cognitive Computing

This paper has as main goal to develop a hybrid expert system to minimize some of the complexity problems related to arti cial intelligence eld. For instance, we can mention: the so-called bottleneck of expert systems, e.g., the knowledge elicitation process; the choice of the model for the knowledge representation to code human reasoning; In relation to the connectionist approach, the number o...

On Cognitive Computing

Inspired by the latest development in cognitive informatics and contemporary denotational mathematics, cognitive computing is an emerging paradigm of intelligent computing methodologies and systems, which implements computational intelligence by autonomous inferences and perceptions mimicking the mechanisms of the brain. This article presents a survey on the theoretical framework and architectu...