Lifeboat Foundation

The material will reduce structural material costs by approximately 40 times.

The University of Hong Kong.

In terms of steam methane reforming, the material is used in the construction of reformers, heat exchangers, and other components of the process as it is particularly well-suited to withstand high temperatures and corrosive environments.

Continue reading “New stainless steel boosts green hydrogen production from seawater” »

Following a successful laboratory test in October, Lockheed Martin has announced that it is gearing up for a 2024 orbital delivery of its 5G.MIL satellites.

Lockheed Martin.

Continue reading “Lockheed Martin to deploy its first all-space 5G.MIL assets next year” »

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

Amazon.

Continue reading “Amazon’s first two Project Kuiper satellites are ‘working brilliantly’” »

We have lost the data from the second stage…

SpaceX/ Twitter.

The much-anticipated launch was scheduled to take place yesterday, November 17, but had to be delayed by a day to swap out one of the Super Heavy first-stage booster’s grid fins.

Continue reading “SpaceX Starship forced to give up and self-destruct after losing signal” »

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 biological systems 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.

Continue reading “A New Study Finds a Surprising Answer on How Fast the Universe is Expanding” »

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 gravitational waves —by looking at pulsars. These fast-spinning objects are commonly used as “clocks” in astronomical terms.

Continue reading “The echoes from inflation could still be shaking the cosmos today” »

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?

While physics tells us that information can neither be created nor destroyed (if information could be created or destroyed, then the entire raison d’etre of physics, that is to predict future events or identify the causes of existing situations, would be impossible), it does not demand that the information be accessible. For decades physicists assumed that the information that fell into a black hole is still there, still existing, just locked away from view.

This was fine, until the 1970s when Stephen Hawking discovered the secret complexities of the event horizon. It turns out that these dark beasts were not as simple as we had been led to believe, and that the event horizons of black holes are one of the few places in the entire cosmos where gravity meets quantum mechanics in a manifest way.

Continue reading “The origins of the black hole information paradox” »