Toggle light / dark theme

In an article published yesterday in MIT Technology Review, Rachel Nuwer wrote a thought provoking piece exploring the boundaries between life and death.


Beyond the brain and brain death itself, related efforts are studying and attempting to develop techniques for restoring metabolic function in a number of organs other than the brain after death, including the heart and kidneys, which could greatly enhance organ donation capabilities.

While these developments are promising, researchers caution against overpromising. The path to these medical advancements is paved with years of research and ethical considerations. The exploration into the dying process will surely challenge not only scientific and medical fields but also societal, theological, and legal considerations, as it reshapes our understanding of one of life’s most profound phenomena. At some point, policy and regulations will need to follow—further adding to the complexity of the topic.

The transition from life to death is becoming increasingly blurred as scientific research uncovers previously unknown or poorly understood complexities about the physiology and reversibility of the dying process. This evolving understanding promises to redefine medical practices, extend the window for organ recovery, and challenge our societal notions of life and death. However, this is a true journey, in the sense that the science and its implications will necessarily involve continuous research, ethical and legal considerations, and a need for realistic expectations. While death is a universal experience, what it is and how we go from living to dying are anything but static.

Amazon has successfully tested its prototype satellites for its planned Project Kuiper.


Amazon.

Akin to SpaceX’s Starlink, Amazon plans to launch the first of its production Kuiper satellites around the middle of 2024. The test proved the viability of the prototypes for 4K video streaming, video calling, and, of course, shopping on Amazon.com.

EPFL scientists have crafted a biological system that mimics an electronic bandpass filter, a novel sensor that could revolutionize self-regulated biological mechanisms in synthetic biology.

Synthetic biology holds the promise of enhancing and modifying into innumerable new technologies for the benefit of society. This engineering approach to biology has already reaped benefits in the fields of drug delivery, agriculture, and energy production.

In a paper published in Nature Chemical Biology, EPFL researchers at the Laboratory of Protein Design and Immunoengineering (LPDI) at the School of Engineering have taken an important step in designing more performative biological systems.

In this episode, we explore the Hubble constant problem, which is one of the most intriguing and perplexing mysteries in cosmology. We explain how a recent study used the Hubble Space Telescope to measure the expansion rate of the universe, and how it differs from the prediction of the cosmic microwave background and the standard cosmological model. We also discuss some of the possible implications and solutions for this discrepancy, such as the nature of dark energy, dark matter and dark radiation, and the need to revise our understanding of the universe.

Chapters:
00:00 Introduction.
01:13 Measuring the Hubble Constant.
03:36 Comparing the Results.
05:39 Implications and Solutions.
07:54 Outro.
08:39 Enjoy.

Best Telescopes for beginners:
Celestron 70mm Travel Scope.
https://amzn.to/3jBi3yY

Celestron 114LCM Computerized Newtonian Telescope.

In the very early universe, physics were weird. A process known as inflation, during which the universe went from a single infinitesimal point to everything we see today, was one such instance of those weird physics. Now, scientists from the Chinese Academy of Science have sifted through 15 years of pulsar timing data in order to put some constraints on what physics looks like.

The 15 years of data come from the North American Nanohertz Observatory for Gravitational Waves or NANOGrav’s goal is to use an unconventional way to detect —by looking at pulsars. These fast-spinning objects are commonly used as “clocks” in astronomical terms.

Back in 1983, a pair of astronomers (Ronald Hellings and George Downs) developed a method by which astronomers could use an array of these pulsars to check for shifts that gravitational waves might cause.

One of the most interesting releases in the recent OpenAI’s DevDay is the GPTs. Essentially, GPTs are custom versions of ChatGPT that anyone can create for specific purposes. The process of configuring a workable GPT involves no coding but purely through chatting. As a result, since the release, a diverse of GPTs have been created by the community to help users be more productive and create more fun in life.

As a practitioner in the domain of physics-informed neural networks (PINN), I use ChatGPT (GPT-4) a lot to help me understand complex technical concepts, debug issues encountered when implementing the model, and suggest novel research ideas or engineering solutions. Despite being quite useful, I often find ChatGPT struggles to give me tailored answers beyond its general knowledge of PINN. Although I can tweak my prompts to incorporate more contextual information, it is a rather time-consuming practice, and can quickly deplete my patience sometimes.

Now with the possibility of easily customizing ChatGPT, a thought occurred to me: why not develop a customized GPT that acts as a PINN expert 🦸‍♀️, draws knowledge from my curated sources, and strives to answer my queries about PINN in a tailored way?