Coursera blog

OCTOBER 31, 2023

AI is often used to drive automation and perform tasks requiring minimal human input, like information sorting. For more complex tasks, we can teach computers to imitate human learning processes using algorithms and statistical models. This practice is called machine learning.

Engineering 52

Engineering Deep Learning Technology Humanities 52

Helix Education

SEPTEMBER 28, 2023

The following reflects these conversations, and I seek to align them with my thoughts envisioning how Gen AI, machine learning, and deep learning can tackle these hurdles. With Gen AI, we enter an entirely new era where machines can interact with humans to understand and process natural language.

Higher Education 59

Higher Education Degree Education Engineering 59

Faculty Focus

MARCH 3, 2024

Kolb’s Experiential Learning Model (Kolb, 1984) defines learning as “the process whereby knowledge is created through the transformation of experience.” ” When students engage in the cycle of experiential learning involving experiencing, reflecting, thinking, and acting, deep learning occurs.

Technology 100

Technology Engineering Learning Experience Faculty 100

Faculty Focus

MARCH 3, 2024

Kolb’s Experiential Learning Model (Kolb, 1984) defines learning as “the process whereby knowledge is created through the transformation of experience.” ” When students engage in the cycle of experiential learning involving experiencing, reflecting, thinking, and acting, deep learning occurs.

Technology 84

Technology Engineering Learning Experience Faculty 84

WCET Frontiers

JANUARY 5, 2023

Artificial Intelligence (AI): Stanford University’s Human-Centered Artificial Intelligence group defines artificial intelligence as “a term coined by emeritus Stanford Professor John McCarthy in 1955, was defined by him as ‘the science and engineering of making intelligent machines.’ Often times this now happens via neural networks.

Model 105

Model Humanities Higher Education Deep Learning 105

Coursera blog

JUNE 19, 2023

We have launched several new short-form content, courses, and credentials from top industry brands, covering a range of in-demand areas, from generative AI, deep learning, augmented and virtual reality, and 5G to cybersecurity, software, and cloud.

Empower 52

Empower Engineering Deep Learning Leadership 52

Inside Higher Ed

SEPTEMBER 30, 2022

On the AI subtopic of deep learning alone, more than one preprint was submitted every hour—a 1,064-fold increase from the 1994 rate. “As data-hungry models become the dominant trend in deep learning, what we see is that that incentivizes a certain kind of social phenomenon,” Vallor said.

Computer Science 102

Computer Science Medical School Deep Learning Engineering 102