How Project-Based Learning Preps Kids for Tech Careers

June 25, 2018

See why textbook learning is making way for more project-based learning, an emerging approach that takes STEM knowledge and students’ own interests and combines them into projects that demand individuality and critical thinking, communication and collaboration.

How Schools and Startups Are Preparing for an Automated Future

June 13, 2018

As technology reshapes the way we work at warp speed, we need to change training methodologies. How do we prepare the next generation for jobs that haven’t yet been invented? What kind of skillsets will they need, when machines can do what humans do? What kind of tech training do they need today to be ready for the future workplace? And would it mean totally rethinking education to encourage creative problem finding and solving? To explore these questions, we look at schools and startups who are rethinking education to learn and explore the new world of robotics, AI and machine learning.

Explainable AI: Cracking Open Deep Learning’s Black Box

May 28, 2018

How does artificial intelligence actually work? What are the pitfalls of this technology that we need to know? Explore the complex nature of this ‘black box’ technology as we break down what artificial intelligence really means.

How Universities Are Preparing Generation Z for a Data-Driven Workforce

May 24, 2018

From video game designers to structural engineers, learn how interpreting data and drawing insights will be a fundamental skill for tomorrow’s workforce.

How Nigeria’s Rising Tech Hub Is Addressing the Software Developer Shortage

April 23, 2018

What happens when there is an increasing number of software development jobs available but not enough skilled workers to fill them? One American start-up, Andela, found the answer in Africa and over the last few years has been developing tech talent primed for integration into the world’s best tech companies.

Will AI Assistants Save Us From Administrative Tedium?

April 4, 2018

37 percent of survey respondents cited administrative work, such as scheduling meetings and data input, as tasks that would be outsourced to machines or automated by 2030. What do these AI assistants look like, and how do they work?