在 英语 中使用 Cognitive computing 的示例及其翻译为 中文
{-}
-
Political
-
Ecclesiastic
-
Programming
Watson Cognitive Computing.
Five Things You Should Know About Cognitive Computing.
So, cognitive computing is very different than machine learning, and I will call both of them a type of AI.
IBM likes to call it cognitive computing.
Cognitive computing, AI, machine learning, and deep learning are often used to describe the same thing, when they actually differ.
By 2018 half of allconsumers will interact with services based on cognitive computing on a regular basis.
Take the company's cognitive computing initiative, also known as Watson, which CEO Ginni Rometty sees as central to the company's future.
IBM is positioning itself to lead in areas such as cloud,analytics and cognitive computing and investing in these priority areas.
Cognitive computing, although still in its infancy, is helping companies enhance products and services, make better decisions, and improve operations.
IBM's legacy businesses are in decline;we think technologies such as blockchain and cognitive computing are its best hope for recovery.
Cognitive computing can also help achieve flexible automation, such as automatic detection to predict and improve maintenance and prevent unplanned downtime.
IBM Watson, the technology giant's flagship AI and cognitive computing platform, is a notable example of an image recognition platform.
Buy, build, partner” models and M&A strategies can help companies gain acompetitive edge in growth areas like cloud, cognitive computing, and data analytics.
Deep analytics applied to an understanding of context allow cognitive computing systems to understand their environment, learn for themselves, and act autonomously.
Cognitive computing systems may play the role of assistant or coach for the end user, or they may act virtually autonomously in many problem-solving situations.
Using the components of machine learning,natural language processing, and cognitive computing, there are several AI applications within banking.
IBM's Watson cognitive computing technology has helped doctors, loan officers, corporations, and even military veterans find answers to complex questions.
To that end, IBM is positioning itself to lead in areas such as cloud,analytics, and cognitive computing and investing in these priority areas.
The surge in big data, analytics and cognitive computing approaches will provide decision support and automation to humans, and awareness and intelligence to machines.
Platforms such as IBM Watson Health havemade significant progress in the use of A.I. and cognitive computing in oncology and genomics.
Meanwhile, AI and cognitive computing will increasingly be integrated into existing architectures and applications as a way to drive innovation throughout 2017.
According to research, artificial intelligence(AI), machine learning(ML) and cognitive computing will directly impact approximately 47% of U.S. jobs.
The surge in big data, analytics and cognitive computing approaches will provide decision support and automation to humans, and awareness and intelligence to machines.
Emergent AI and its corresponding components of machine learning,augmented reality and cognitive computing technologies are no longer things of science fiction.
His new book, Big Data Analytics for Cloud/IoT and Cognitive Computing(Wiley, 2017), has been adopted by 20 universities including Stanford and Harvard.
Current DARPA research also may have dramatic future impacts, including self- driving vehicles,robots and exoskeletons, and cognitive computing- computers that emulate brain-like processing.
This collaboration will leverage artificial intelligence,machine learning, cognitive computing and big data analytics to improve healthcare, cybersecurity, automation, mobility, smart energy systems and e-governance.
Advancements in AI-focused areas, such as autonomous vehicles, cognitive computing, and collaborative robotics, are presenting complex public policy and technical challenges.