From automated to autonomous and now cognitive, a paradigm shift is taking place in the design principles of machines, matter, methods and more. So, what are the principles of cognitive design? And are they centered around the future of humanity? From tabulating systems to programmable systems and now with cognitive systems, the evolution in computing allows humans to move beyond numbers and data to knowledge and intelligence. It is no longer about the replacement of man with machine, but rather about intelligence augmentation.
The race to develop and deploy cognitive systems is on. Immature and rapidly changing, the current cognitive systems landscape is made up of a small but steadily growing group of cognitive tools, APIs, platforms, and application vendors. The cognitive "holy grail" they seek: high-impact, rapidly-delivered cognitive systems. In the Cognitive Systems market, five deployment types have emerged: 1. Cognitive Tools & APIs 2. Embedded Cognitive/AI Functionality 3. Native Cognitive Applications 4. Cognitive System Deployments 5. Autonomous Cognitive Systems Current Cognitive System deployments have a variety of approaches, ambitions, and complexities. Early developers and funders of Cognitive Systems place a premium on how long it takes to "go live" and recognize material cognitive benefit.
Cognitive Science is the study of thought, learning, and mental organization, which draws on aspects of psychology major, linguistics, philosophy, and computer modeling. The Cognitive Science Major/Field is made up of a diverse number of different majors, like linguistics, cognition, neurobiology, artificial intelligence, law, and many more. Cognitive Science Students may ask themselves things like: What job can I get with cognitive science? What does a Cognitive Science Lecture look like? How does the major effect Cognitive Artificial Intelligence?
Cognitive computing has taken the tech industry by storm and has become the new buzzword among entrepreneurs and tech enthusiasts. Based on the basic premise of stimulating the human thought process, the applications and advantages of cognitive computing are a step beyond the conventional AI systems. According to David Kenny, General Manager, IBM Watson – the most advanced cognitive computing framework, "AI can only be as smart as the people teaching it." The same is not true for the latest cognitive revolution. Cognitive computing process uses a blend of artificial intelligence, neural networks, machine learning, natural language processing, sentiment analysis and contextual awareness to solve day-to-day problems just like humans.