Interesting eastern European cars - but which can you remember?
State-controlled car makers leveraged the limited funds they had available to put millions of motorists on wheels, whether they needed a small city car, an off-roader or a spacious van for work. Some firms put an emphasis on design to conquer overseas markets while others took a strong interest in racing and occasionally beat more experienced rivals.
From econoboxes with muted Italian genes to experimental mid-engined coupés, here are some of the hits, the misses and the plain weird cars that hatched from the eastern European and Russian car industries.
- https://www.msn.com/en-xl/news/other/interesting-eastern-european-cars-but-which-can-you-remember/ss-BB1kExxv?ocid=00000000
Related
2025 Chevy Equinox EV Crushes Tesla Model Y In Range Test
We knew the $35,000 Chevy Equinox EV was a range champion. Now it has beat its own EPA rating.
NewsHeatwave hotspots are popping up - including one over the UK
Scientists in New York say unexplained heatwave 'hotspots' are popping up on every continent except Antarctica like 'giant, angry skin blotches'.
NewsSouth Korea: Seoul Hit By Biggest November Snowstorm In 52 Years
Video Location: Seoul, South Korea Video Recording Date/Time: November 27, 2024 at 15:00h Seoul was hit by the heaviest November snowstorm in 52 years on Wednesday, November 27. The intense snowfall disrupted traffic, including hundreds of flights. More than 200 homes in Gwangju experienced power outages. RESTRICTIONS AND USAGE TERMS: Please credit “@vegetables0411 via Spectee”. [NOTE: No audio, looped video]
NewsRanked: The 25 greatest coaches in football history
Ranked: The 25 greatest coaches in football history
NewsDisappearing ingredients: How crowdsourced collections help to save the foods at risk of extinction
Bringing back ancient grains can help family farmers in the face of climate change. View on euronews
NewsChina: Chinese scientists achieve breakthrough in hyper-spectral imaging technology
China - November 26, 2024 Chinese scientists achieve breakthrough in hyper-spectral imaging technology (Voice_over) Chinese researchers have made a big leap in hyper-spectral imaging technology, which is used in sensors to rapidly and accurately recognize an object in a complex environment. Developed by researchers at the Beijing Institute of Technology, the broadband hyper-spectral image sensors are equipped with advanced spectral chips and powered by AI algorithms. In one demonstration, researchers showed how the technology can be used to differentiate between a silicone face mask and a real human face. (Sound_bite) Wang Zhen, PhD student, BIT Center for Scientific Exploration in Complex Environment (BISC): "Here is a facial mask made from silicon rubber that has a fundamental difference in spectral properties compared to our real human face. Through this difference, we can accurately detect and identify disguises." (Voice_over) The hyper-spectral device can simultaneously capture geometric information and dozens, even hundreds, of spectral bands, making it easy to differentiate between objects that look alike. (Sound_bite) Bian Liheng, Professor, BIT Center for Scientific Exploration in Complex Environment (BISC): "To capture spectral information across the full spectrum—from the three primary colors to hundreds of spectral bands—we need more materials for broadband spectral modulation. That's why we have developed over 100 materials that can modulate the incoming light across a broad spectrum. This enables us to collect light from hundreds of spectral bands onto a chip. When combined with intelligent algorithms, this chip-based technology integrates both hardware and software to form a powerful function." (Voice_over) The achievement has been published in the November 6th edition of the journal Nature. [Restriction: No access Chinese mainland]
NewsHidden solar surge in Pakistan shocks experts, and grid
Pakistan has grown its solar energy capacity by an astounding amount in a remarkably short space of time. The shock surge has given residents the power to survive blackouts, but it threatens to disrupt the grid.
News