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In the spirit of Halloween:


Zombies are oftentimes a common trope in science fiction and horror. In this video, we will go over why and how they are plausible.

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Hello and welcome! My name is Anton and in this video, we will talk about some of the new discoveries about Venus Flytrap — the most well known carnivorous plant.
Little Shop of Horrors: https://upload.wikimedia.org/wikipedia/commons/8/87/TheLittleShopOfHorrors1960.webmhd.webm
Video used: https://www.youtube.com/watch?v=K-fFqCkZfGE
Paper: https://www.nature.com/articles/s41477-020-00773-1

Articel from Unilad. The article contains a You Tube video as well on the car’s flight. It looks fantastic to me. To think that flight technology can be made this compact.

It’s not really like the flying car’s we see in sci-fi films, but this may be the first step. Besides, I’m not sure flying cars were practical anyway.

Maybe, this will find it’s own niche. But who knows what the future will bring.


The idea of a flying car has been heavily featured in most sci-fi fantasies, but it seems that the technology could become a reality after a successful test of a flying sports car.

In Slovakia, a winged sports car has taken to the sky and it may signal the beginning of more flying cars being developed. The AirCar is a two-seater car that weighs just 1,100kg with the ability to carry 200kg of weight.

Naturally, to take flight, the car needs to be light and it seems the design behind the car will be explored further. Interest in the vehicle has increased after its test, which enabled the vehicle to achieve an impressive flight.

Microsoft has announced the launch of the public preview of a free app that allows users to train machine learning (ML) models without writing any code.

This app — Lobe — has been designed for Windows and Mac, only supports image classification; however, the tech giant is planning to expand the app to include other models and data types in the future.

According to Lobe website, the app needs to be shown examples of what the users want to learn, and the app automatically trains a custom machine learning model that can be shipped in the users’ app.

In 1831, the British explorer James Clark Ross determined the position of the magnetic North Pole to within a few miles for the first time. He found it on the Boothia Peninsula in Nunavut, northern Canada where he and his team camped in the “snow huts of a recently deserted Esquimaux village”.

Even then, the pole was known to move, albeit slowly. Some 70 years later, the Norwegian Amundsen rediscovered it nearby and over the next ninety years, it migrated slowly northwards at a rate of up to 15 kilometers (just over 9 miles) per year.

Then, in 1990, it suddenly began to accelerate northwards. In 2017, it passed the geographic North Pole and is now heading south towards Siberia.

Back in 1991 on September 19th in the Austro-Italian Alps, an incredibly grim discovery was made by hikers Helmut and Erika Simon. While they were strolling across the mountainside they discovered what appeared to be a body that died recently still half-frozen from the bottom down. They called in the cops but after further analyzing it was uncovered that the cadaver was at the very least 4,000 years old. Nicknamed “Otzi the Iceman”, he was later on discovered to have died sometime around 3350 and 3100 BC making him around 5,300 years old, aka the oldest preserved human being ever discovered.