Gates also noted how different his assessment looks today, at age 63, than it did in his 20s. More...
At 63, Bill Gates says he now asks himself these 3 questions that he wouldn’t have in his 20s
Cuts in state funding to public colleges may be to blame for a decline in bachelor’s degrees
The declines in state appropriations have had real effects in terms of degree output, enrollment and there’s at least suggestive evidence that there’s some impact on research outputs. More...
AI can simulate quantum systems without massive computing power
It’s difficult to simulate quantum physics, as the computing demand grows exponentially the more complex the quantum system gets — even a supercomputer might not be enough. More...
What is personalized learning and why is it so controversial? 5 questions answered
The term “personalized learning” is becoming more common. Indeed, 39 states mention personalized learning in their school improvement plans, as required by the Every Student Succeeds Act. More...
Udacity’s AI generates lecture videos from audio narration
Professional-level lecture clips require not only a veritable studio’s worth of equipment, but significant resources to transfer, edit, and upload footage of each lesson. More...
MITx Prepares 30 New MOOCs and Builds with Other Universities a Blockchain System for Credentials
MITx has become, along with Harvard University and Microsoft, the most prolific course creator on edX.org, with 111 MOOCs shared in the past year, and 26 of them being run for the first time. More...
U.S., U.K. and Canadian residents call for a unified skills strategy for the AI age
We asked 10,000 people in the United Kingdom, the United States and Canada what they thought about the impact of artificial intelligence on jobs. More...
13 Signs of High Emotional Intelligence: Are these forgotten when we consider needed workforce skills?
In 1995, psychologist and science journalist Daniel Goleman published a book introducing most of the world to the nascent concept of emotional intelligence. More...
The push for explainable AI
While organizations are ultimately legally responsible for the ways their products, including algorithms, behave, many encounter what is known as the “black box” problem: situations where the decisions made by a machine learning algorithm become more opaque to human managers over time as it takes in more data and makes increasingly complex inferences. More...
How AI can strengthen and defend democracy
Democratic societies the world over have come under attack in this digital era — and in ways many probably never thought possible in their lifetime. More...