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With the help of an AI, researchers at Chalmers University of Technology, Sweden, have succeeded in designing synthetic DNA that controls the cells’ protein production. The technology can contribute to the development and production of vaccines, drugs for severe diseases, as well as alternative food proteins much faster and at significantly lower costs than today.

How genes are expressed is a process that is fundamental to the functionality of cells in all living organisms. Simply put, the in DNA is transcribed to the molecule messenger RNA (mRNA), which tells the cell’s factory which to produce and in which quantities.

Researchers have put a lot of effort into trying to control gene expression because, among other things, it can contribute to the development of protein-based drugs. A recent example is the mRNA vaccine against COVID-19, which instructed the body’s cells to produce the same protein found on the surface of the coronavirus.

Lee Smolin is a theoretical physicist, co-inventor of loop quantum gravity, and a contributor of many interesting ideas to cosmology, quantum field theory, the foundations of quantum mechanics, theoretical biology, and the philosophy of science. He is the author of several books including one that critiques the state of physics and string theory called The Trouble with Physics, and his latest book, Einstein’s Unfinished Revolution: The Search for What Lies Beyond the Quantum.

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Lex Fridman Podcast


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EPISODE LINKS:
Books mentioned:
- Einstein’s Unfinished Revolution by Lee Smolin: https://amzn.to/2TsF5c3
- The Trouble With Physics by Lee Smolin: https://amzn.to/2v1FMzy.
- Against Method by Paul Feyerabend: https://amzn.to/2VOPXCD

OUTLINE:
0:00 — Introduction.
3:03 — What is real?
5:03 — Scientific method and scientific progress.
24:57 — Eric Weinstein and radical ideas in science.
29:32 — Quantum mechanics and general relativity.
47:24 — Sean Carroll and many-worlds interpretation of quantum mechanics.
55:33 — Principles in science.
57:24 — String theory.

CONNECT:

Sound waves, like an invisible pair of tweezers, can be used to levitate small objects in the air. Although DIY acoustic levitation kits are readily available online, the technology has important applications in both research and industry, including the manipulation of delicate materials like biological cells.

Researchers at the University of Technology Sydney (UTS) and the University of New South Wales (UNSW) have recently demonstrated that in order to precisely control a particle using ultrasonic waves, it is necessary to take into account both the shape of the particle and how this affects the acoustic field. Their findings were recently published in the journal Physical Review Letters.

Sound levitation happens when sound waves interact and form a standing wave with nodes that can ‘trap’ a particle. Gorkov’s core theory of acoustophoresis, the current mathematical foundation for acoustic levitation, makes the assumption that the particle being trapped is a sphere.

There is a deep root of mathematics within biology. How this came to be, you’ll have to watch the video to find out.

Created by Prompt Suathim (2nd year undergrad, Integrated Science, UBC)

Books referenced:

Music:
City Life – Artificial. Music (No Copyright Music)
Link: https://www.youtube.com/watch?v=caT3jZ0q6Z0&list=PLhZpTkc-Gz…ex=1&t=29s.
Pure Water by Meydän.
Link: https://youtu.be/BU85yzb0nMU
Forever Sunrise — by Jonny Easton.
Link: https://youtu.be/9Xndx7nhGAs

Some of them could fertilize ecosystems, while others could have pathogenic potential.

More and more glaciers are melting as the Earth heats up, posing a multitude of threats to humanity. From rising sea levels to increased coastal erosion, the record speed at which the world’s ice sheets are melting has the potential to disrupt societies globally.

Now scientists from Aberystwyth University warn that hundreds of thousands of tonnes of microbes could leak into lakes and rivers as the world’s glaciers melt due to climate change, according to an institutional press release.

The study shows how deep learning can be used to detect cell image analysis.

Researchers have found a way to observe cell samples to study morphological changes — or the change in form and structure — of cells. This is significant because cells are the basic unit of life, the building blocks of living organisms, and researchers need to be able to observe what could influence the parameters of cells, such as size, shape, and density.

Conventionally, cell samples were observed directly through microscopes by scientists to observe and discover any changes of the cells. They would look for morphological changes in the cell structures.


Image jungle/iStock N/A

The study was published in the journal Intelligent Computing.

High-Risk, High-Payoff Bio-Research For National Security Challenges — Dr. David A. Markowitz, Ph.D., IARPA


Dr. David A. Markowitz, Ph.D. (https://www.markowitz.bio/) is a Program Manager at the Intelligence Advanced Research Projects Activity (IARPA — https://www.iarpa.gov/) which is an organization that invests in high-risk, high-payoff research programs to tackle some of the most difficult challenges of the agencies and disciplines in the U.S. Intelligence Community (IC).

IARPA’s mission is to push the boundaries of science to develop solutions that empower the U.S. IC to do its work better and more efficiently for national security. IARPA does not have an operational mission and does not deploy technologies directly to the field, but instead, they facilitate the transition of research results to IC customers for operational application.

Currently, Dr. Markowitz leads three research programs at the intersection between biology, engineering, and computing. These programs are: FELIX, which is revolutionizing the field of bio-surveillance with new experimental and computational tools for detecting genetic engineering in complex biological samples; MIST, which is developing compact and inexpensive DNA data storage devices to address rapidly growing enterprise storage needs; and MICrONS, which is guiding the development of next-generation machine learning algorithms by reverse-engineering the computations performed by mammalian neocortex.

Previously, as a researcher in neuroscience, Dr. Markowitz published first-author papers on neural computation, the neural circuit basis of cognition in primates, and neural decoding strategies for brain-machine interfaces.