Artificial Intelligence– Human AI Collaboration
The COVID-19 outbreak created uncertainties and changes in every aspect of daily life and work. It’s also pushing business leaders and plant owners to act
The COVID-19 outbreak created uncertainties and changes in every aspect of daily life and work. It’s also pushing business leaders and plant owners to act
Artificial intelligence has come a long way since scientists first wondered if machines could think. In the 20th century, the world became familiar with artificial
In the process of gathering data for secondhand use, such as data warehouses and their many variants, organizations picked and chose pieces of data that
Deep learning has become an ever-growing part of the machine learning family. Part of its growth can be accredited to its compatibility with Python, a
Machine Learning and Artificial Intelligence have been deemed the “hot topics” for every trending article in 2021. It’s similar to how the internet revolutionized everyone’s
What is the next step toward bridging the gap between natural and artificial intelligence? Scientists and researchers are divided on the answer. Yann LeCun, Chief
During transfer learning, the knowledge leveraged and rapid progress from a source task is used to improve the learning and development to a new target
This article is part of “the philosophy of artificial intelligence,” a series of posts that explore the ethical, moral, and social implications of AI today
Tim Ensor, director of artificial intelligence at Cambridge Consultants, part of Capgemini Invent, wonders whether machines powered by AI will learn as naturally as children
Dimensionality reduction is a critical component of any solution dealing with massive data collections. Being able to sift through a mountain of data efficiently in
Economists are not immune to automation. Going by the current trends in automated intelligence in economic modelling, sooner or later, technological unemployment will catch up
For decades machine learning (ML) was slow to evolve because of the complexity of emulating human thought and the difficulty in processing sufficiently large data