This is an example of combining multiple AI technologies to enable machines to become more like humans -- this is what cognitive computing means to me.

There are a number of successful use case scenarios and cognitive computing examples that show the world how to implement cognitive computing, efficiently. Let us look at some successful use cases ...

Cognitive computing generally refers to computing capabilities that mimic human cognitive capabilities. Cognition as a service, or simply cognitive service, refers to the availability of such ...

Ingolf Wittmann from IBM presented this talk for the Switzerland HPC Conference. "This presentation will point out based on real examples how HPC environments can benefit from such solutions and ...

Read the complete article to learn more about the benefits of cognitive computing About Quantzig Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India.

With the addition of cognitive computing to the company’s technology arsenal, the way in which banking works can be dramatically transformed.

To help provide some clarity around the cognitive concept and what it might mean for your organization, I’ve put together this primer. What does ‘cognitive’ mean in the context of computing?

Cognitive computing goes beyond AI and ML by leveraging systems such as pattern recognition that strive to simulate human thought processing.

How cognitive computing and cloud technology can improve our health and fitness From medicine to athletics, IBM's cognitive, cloud-based technology is changing our understanding of the human body ...

"Cognitive computing helps solve the problem by capturing vast amounts of data from varied sources, including the knowledge from experienced engineers and technical staff, to help oil and gas ...

Cognitive systems often make use of a variety of machine-learning techniques, but cognitive computing is not a machine-learning method per se.

IBM defends Watson, cognitive computing, AI efforts amid analyst questions IBM reported its second quarter earnings and countered a report questioning whether Watson is too hard to implement.