Emerging Trends In Cognitive Systems
From automated to autonomous and nowcognitive, 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.
Over the years, programmable systems processed numbers and created data, but now cognitive systems are on their way to help make sense of the data and make it actionable for humans. As cognitive systems learn, reason, and interact with humans as partners and collaborators, everything in cyberspace, geospace, space, and beyond (CGS) will likely change in the coming years. However, what is fueling the advances in cognitive systems?
Acknowledging this emerging reality, Risk Group initiated a much-needed discussion on Cognitive Systems with Dr. Arne Norlander from Sweden onRisk Roundup.
Risk Group discusses Cognitive Systems with Dr. Arne Norlander, Science and Technology Strategist, Cognitive Systems Scholar, Business Agility and Leadership Thinker, Director: Research and Innovation @ Secana, Stockholm, Sweden.
The many advances in neurophysiological and cognitive science research have fueled a surge of research aimed at more effectively linking both human and machine intelligence capabilities as well as matter and mother nature to access intelligence for the benefit of humanity. The information gathered from this rapidly emerging potential of collaboration between man, machines, matter, and mothernature could give humanity an intelligence edge across cyberspace, geospace, space (CGS) and beyond.
Cognitive systems are emerging that can already read, write, speak, see, hear and learn. Examples includebrain-machine interfaces, robotic prostheses and orthotics, cognitive and sensory prostheses, software and robotic assistants, autonomous cars, autonomous weapons, and more. Because cognitive computing can be programmed to self-learn and solve complex problems, it is important to evaluate where it is making a difference now and where will it make a difference in the coming years.
As seen, the rapidly evolving self-learning systems have already influenced travel, sports, entertainment, fitness, health and wellness—and so much more. So, first and foremost,cognitive environments require an understanding of the development of a collaborative cognitive innovation ecosystem. While the rapidly expanding individual and collective components of the futuristicman, machine, matter, and mother nature cognitive ecosystem are still in their infancy, they are necessities for the very future of humanity. These include integrated knowledge discovery and exploitation facilities that can incorporate predictive and prescriptive big data analytics, novelcognitive modeling tools and visual simulation facilities, multimodal cognitive interfaces, conversational algorithms and more.
The evolving collective (man, machine, matter and more) cognitive ecosystem will provide timely, engaging, personalized, collaborative, and effective intelligence that will help humanity achieve rapid decision making across cyberspace, geospace, and space. The emerging capabilities will stimulate creativity and innovation and prepare humankind to work in increasingly complex CGS environments.
As we evaluate the emerging trends in cognitive systems, it is fundamental to assess the building blocks of cognitive computing. To begin with, are thebuilding blocks of cognitive computing defined and designed to usher in a new era of cognitive computing? Are all the building blocks of cognitive computing ready to build the collective cognitive systems? It seems there is a need for new hardware, programming languages, applications, and simulators.
