In these viral times, a lot of universities will need to switch to video teaching, and for many teachers, this is a new experience. Here are two videos with tips on how to become a better video teacher. I have used video conferencing extensively since the mid-‘90s and also mentor young teachers.
The first video focuses on the video experience itself—and is valid for anyone using video conferencing to get a message across.
It is no secret that for many people, the “stay at home” policies that have been adopted by many countries to combat the spread of the coronavirus is causing considerable psychological pain. However, there may also be a psychological benefit to be gleaned from this otherwise bleak situation. And that is a fundamental readjustment of our expectations, particularly in so-called “first world countries.”
Imagine this: It’s morning and you are starting your daily routine—go to work, bring kids to school, etc. You are quite late. You lift the door handle of the car; able to recognize your fingerprints, the car unlocks. You speak, “To Helen’s school please, then Martin’s school, then to work.” The car doesn’t respond. It’s rush hour and you need to bring the kids to school on time and then rush to work.
Your car’s machine-learning algorithm predicts you are likely to get a fine or worse, despite your intentions to drive consciously when kids are on board and stay under the speed limit. Almost like the “pre-crime” police units of the Tom Cruise sci-fi hit “Minority Report,” the algorithm uses police report data on parents who speed during rush hour when late for school or work. It neglects your law-abiding attitude. Fortunately, the personal digital assistant in your watch, sensing your car has been disabled, is already contacting the schools and your workplace with your estimated times of arrival and an excuse for your tardiness.
As Moore’s Law runs out of steam, and fabrication of Boolean circuits on silicon appears to be reaching its limits, some computer scientists and physicists are looking beyond the limits of current computing to “reversible computing.” That is, instead of one-way circuits that produce a deterministic output from given inputs, reversible computing works both ways: Inputs can be obtained from outputs by running the circuits in reverse. Generally speaking, computation runs in one direction, producing outputs from inputs, without the ability to run backwards and compute inputs from outputs. Continue reading Is Computing in Reverse the Next Big Thing?→