More than 40 years ago in 1968, a team led by Nikolai Nikolaevich Konstantinov created a mathematical model of the motion of a cat. The BESM-4 machine, executing a written program for solving ordinary differential equations, draws a cartoon cat. Each frame was physically printed using a standard desktop printer (using W’s to fill the drawing space), photographed, then put together into this simple animation.
Running out of memory while running Windows isn’t exactly a new phenomenon. But since Windows 8, things have mostly gotten better from memory usage/performance.
I recently ran into an issue where I’d close down all of my apps, but leave my system on overnight. When I’d jiggle the mouse in the morning, I would be greeted with horrendously sluggish drive swapping and 100% memory utilization. On a system with 32 gigs of memory. Even worse, I opened up my task manager and shut down everything possible – but nothing was indicated where 25+ gigs of memory went. Bad job Microsoft, shouldn’t your performance tools be able to tell me what is using up 90% of my system memory?
A new study by EHT – Zurich’s Institute for Transport Planning and Systems seeks to find out if that equation changes if autonomous taxi services were introduced. Using an agent-based simulation on the city of Zurich, they tested a number of scenarios (service models, owner models, etc), examined costs, and how disruptive the shift would be. The simulation uses an agent-based system in which individuals make decisions based on time/cost/etc, instead of overarching rules. This has previously produced really accurate studies.
Turns out, the impact is not as much as people expect, and the fleet to do it actually must stay relatively small when paired with existing, good quality mass transit systems to be viable. This doesn’t shock me in European cities with great public transit, but I wonder how it would play out in American cities without that infrastructure. My gut tells me it likely would be the same as Uber/Lyft study results.
Developing a iOS app used to require buying a Macbook or Mac mini. With VMWare, it is no longer necessary. I used VMWare Workstation 15.0 Pro and was able to develop an app and debug it on real iPad/iPhone hardware. Setup instructions are here: https://techsviewer.com/install-macos-mojave-vmware-windows/
Released in 1973, the SEGA Moto Champ machine had no screens, buttons, or a joystick. The electro-mechanical racing game had a group of magnetically-attached motorcycles which rolled over a “road” that was generated by shining light through a spinning cylinder onto the playfield.
Here’s another playthrough with more narration:
I love the clever engineering of older machines because of all the constraints. Games required you be more imaginative – which I think is really part of the fun of playing them.
Which is why I’ve come to love some of the ideas behind hackathons. Limits on time, resources, can help unlock amazing creativity.
Videographer Guy Jones edits century-old film – the ones that usually run too fast and jerky. Jones slowed down the film’s original speed and added ambient sound to match the activity seen on the city’s streets. This particular film print was created by the Swedish company Svenska Biografteatern during a trip to America, and remains in mint condition.
Back in the ‘early’ days (2012) of video processing, before we had AI algorithms, we often just pursued straight video processing techniques to tease out interesting information.
Enter MIT’s work on Eulerian Video Magnification. The underlying concept is to take small per-pixel differences from frame to frame, then magnify the changes, to detect things not ordinarily visible to the human eye.
One of the most powerful effects is the ability to accurately detect the pulse of someone, or the vibration of objects by sound – with just normal video footage. Check it out in their original demonstration video below:
In 2014 they did a Ted talk that shows some further interesting applications – including re-generating the sound going on in a room from the vibrations of the objects in it.
So, since 2014, you can even recover sound from a discarded bag of chips behind soundproof glass.