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“We think that each car needs to sound for itself.”

It was roughly six years ago when Audi started designing bold soundtracks for its growing line of hybrids and EVs. Why did the 111-year-old carmaker need custom sounds for its forward-looking product line? It all comes down to one thing: electric vehicles are practically silent, even when traveling at high speeds.


Audi.

The idea of silent cars might seem exciting if you spend your days walking beside noisy urban streets, but quiet cars have a couple of drawbacks. For one thing, they’re dangerous to pedestrians and other drivers. That’s why most countries have a series of regulations that set acceptable ranges for the volume and pitch of the noises that EVs have made. Another down of noiseless EVs is the driving experience. A full-bodied roar makes driving more fun.

For the first time, volcanologists reveal to IE real-time observations of the deepest parts of a volcanic system.

Scientists from the University of Iceland and the Icelandic Meteorological Office, Reykjavik, have presented unexpected observations of seismic activity and magma movements before and during the 2021 Fagradalsfjall volcanic eruption, according to a pair of papers published in Nature.

The insights could provide a boost in understanding the processes that drove the unusually ‘silent’ eruption and for future monitoring of volcanic activity. This is critical for creating warnings to prevent loss of life and damage to infrastructure. Beboy_ltd.

The method uses microneedles smaller than a grain of sand.

Tattooing went from a subculture to pop culture in the past decades. Tattoo artists use a mechanized needle to puncture the skin and inject ink into the dermis or second layer of skin-this is not only painful but it’s time-consuming.

The patch consists of microneedles that are each smaller than a grain of sand and are made of tattoo ink encased in a dissolvable matrix.


GEORGIA TECH

Many companies developed blood tests for cancer, but none of them have FDA approval so far.

The U.S. is preparing to launch trials of blood tests that can improve the detection of multiple kinds of cancer, according to a report.


Solarseven/iStock.

The majority of the multi-cancer early detection tests (MCEDs) function by searching for tumor cell remnants that explode after being attacked by the immune system. Debris from dead tumors can be found in the bloodstream, where it can be identified as a cancer warning before symptoms appear. And if imaging confirms the result, a biopsy follows the process.

He also has advice on how to bring things back on track.

Bill George, a senior fellow at Harvard Business School, thinks that Mark Zuckerberg has “really lost his way” and is slowly dragging his company Meta to failure. George made these comments while speaking to CNBC

George, a former CEO at a medical technology company himself, has spent the last two decades of his life studying leadership failures in workplaces. His recent book is a compilation of his work, where he has found that bosses who lose sight of their values and purpose are doomed to fail.

https://youtube.com/watch?v=DGbZ9J2nlNA&feature=share

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You won’t be able to blame it on your genetics anymore: with CRISPR, it’s so easy to hacn into your DNA. CRISPR technology is our future, and experiments with DNA hacking are booming. CRISPR biotechnology is not science fiction anymore, it is our very near future. Would you hack and reprogram your own DNA with CRISPR? Breaking the code of life, hacking DNA at home.

Welcome to the world of a new nature. We can now literally cut and paste DNA with the new CRISPR technology. There is a revolutionary development going on that will have major consequences for humans, plants and animals. The new biotechnology is here.

‘Bio is the New Digital’. We are able to accurately reprogram the genetic code of our body cells, embryos, bacteria, viruses and plants. With the CRISPR technology we can adjust the characteristics of each organism to our needs. This allows us to permanently ban diseases, improve our body conditions and adapt plants to our food needs.

The special feature of CRISPR technology is that it is relatively simple. In the past year, the number of experiments and applications has exploded. Around the world, people have been tinkering with CRISPR: experimenting at home with the ‘Do it Yourself CRISPR kits’.

Visit https://brilliant.org/Veritasium/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription. Digital computers have served us well for decades, but the rise of artificial intelligence demands a totally new kind of computer: analog.

Thanks to Mike Henry and everyone at Mythic for the analog computing tour! https://www.mythic-ai.com/
Thanks to Dr. Bernd Ulmann, who created The Analog Thing and taught us how to use it. https://the-analog-thing.org.
Moore’s Law was filmed at the Computer History Museum in Mountain View, CA.
Welch Labs’ ALVINN video: https://www.youtube.com/watch?v=H0igiP6Hg1k.

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References:
Crevier, D. (1993). AI: The Tumultuous History Of The Search For Artificial Intelligence. Basic Books. – https://ve42.co/Crevier1993
Valiant, L. (2013). Probably Approximately Correct. HarperCollins. – https://ve42.co/Valiant2013
Rosenblatt, F. (1958). The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain. Psychological Review, 65, 386–408. – https://ve42.co/Rosenblatt1958
NEW NAVY DEVICE LEARNS BY DOING; Psychologist Shows Embryo of Computer Designed to Read and Grow Wiser (1958). The New York Times, p. 25. – https://ve42.co/NYT1958
Mason, H., Stewart, D., and Gill, B. (1958). Rival. The New Yorker, p. 45. – https://ve42.co/Mason1958
Alvinn driving NavLab footage – https://ve42.co/NavLab.
Pomerleau, D. (1989). ALVINN: An Autonomous Land Vehicle In a Neural Network. NeurIPS, 1305-313. – https://ve42.co/Pomerleau1989
ImageNet website – https://ve42.co/ImageNet.
Russakovsky, O., Deng, J. et al. (2015). ImageNet Large Scale Visual Recognition Challenge. – https://ve42.co/ImageNetChallenge.
AlexNet Paper: Krizhevsky, A., Sutskever, I., Hinton, G. (2012). ImageNet Classification with Deep Convolutional Neural Networks. NeurIPS, (25)1, 1097–1105. – https://ve42.co/AlexNet.
Karpathy, A. (2014). Blog post: What I learned from competing against a ConvNet on ImageNet. – https://ve42.co/Karpathy2014
Fick, D. (2018). Blog post: Mythic @ Hot Chips 2018. – https://ve42.co/MythicBlog.
Jin, Y. & Lee, B. (2019). 2.2 Basic operations of flash memory. Advances in Computers, 114, 1–69. – https://ve42.co/Jin2019
Demler, M. (2018). Mythic Multiplies in a Flash. The Microprocessor Report. – https://ve42.co/Demler2018
Aspinity (2021). Blog post: 5 Myths About AnalogML. – https://ve42.co/Aspinity.
Wright, L. et al. (2022). Deep physical neural networks trained with backpropagation. Nature, 601, 49–555. – https://ve42.co/Wright2022
Waldrop, M. M. (2016). The chips are down for Moore’s law. Nature, 530144–147. – https://ve42.co/Waldrop2016

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