Tech companies are claiming machines more intelligent than us and capable of having their own agendas are just around the ...

As businesses wrestle with ever-greater volumes of data, both generated within their organizations and collected from external sources, finding efficient ways to analyze and “operationalize” all that ...

Artificial Intelligence is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

On Oxford Street in Cambridge, Mass. lives a sibyl, a priestess of science. Her devotees take their problems to her as devout ancient Greeks took their insolubles to Delphi. She is no mumbling, ...

Giant electronic computers can solve difficult mathematical or logical equations in fractions of a second, but in other ways they are mental defectives. They have no imagination or initiative. They do ...

When Laura Brown was a graduate student, data science wasn't yet a separate discipline; it was spread throughout many areas. As data science started to develop as a distinct academic subject area, she ...

Material science, at its core, is an interdisciplinary field focusing on the discovery and design of new materials. It combines elements of physics, chemistry and engineering to understand and ...

The master’s in machine learning engineering from Drexel Engineering provides the skills needed to take on the transformation of science and technology and a successful career in an exciting ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...