How can we guarantee that data sent over the internet is only accessible to its intended recipient? Currently, our data is secured using encryption methods based on the premise that factoring large numbers is a complex task. However, as quantum computing advances, these encryption techniques may become vulnerable and potentially ineffective in the future.

Encryption by means of physical laws

Tobias Vogl, a professor of Quantum Communication Systems Engineering, is working on an encryption process that relies on principles of physics. “Security will be based on the information being encoded into individual light particles and then transmitted. The laws of physics do not permit this information to be extracted or copied. When the information is intercepted, the light particles change their characteristics. Because we can measure these state changes, any attempt to intercept the transmitted data will be recognized immediately, regardless of future advances in technology,” says Tobias Vogl.

The galaxy is a vast place with billions of potential new worlds for humanity to colonize, but interstellar space is so enormous that reaching even the nearest stars and planets by spaceship would take decades at best, and maybe many centuries. Even on arrival terraforming those barren planets would take just as long.

Two options for overcoming the immensity of space and time are the Seed Ship and the Data Ship, automated vessels able to colonize the worlds for us. We will examine those today, their advantages, limitations, and misconceptions, and variations of them we might use to seed the stars.
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Listen or Download the audio of this episode from Soundcloud: Episode’s Audio-only version: / seeding-the-stars.
Episode’s Narration-only version: / seeding-the-stars-narration-only.

Credits:
Seeding the Stars.
Episode 166, Season 4 E52

Writers:
Isaac Arthur.

Editors:
Alex Chamak.
A.T. Long.
Cooper de Ruiter.
D. Hemanshi.
Daniel McNamara.
Darius Said.
Edward Nardella.
Evan Schultheis.
Keith Blockus.
Mark Warburton.
Matthew Acker.
Safia Postgate.
Stuart Graham https://beyondnerva.wordpress.com.
Sigmund Kopperud.

A team at Texas A&M University is taking significant steps for the development of a new generation of energy storage devices. They aim to develop a device that can combine the benefits of current technologies while addressing their limitations.

Dr. Abdoulaye Djire, a chemical engineering professor at Texas A&M University, as well as a few chemistry engineering graduates are focusing on MXenes, which is expected to be a compelling alternative to conventional lithium-ion batteries. Currently, the team is exploring the major advantages of nitride MXenes.

Granular materials, those made up of individual pieces, whether grains of sand or coffee beans or pebbles, are the most abundant form of solid matter on Earth. The way these materials move and react to external forces can determine when landslides or earthquakes happen, as well as more mundane events such as how cereal gets clogged coming out of the box.

Yet, analyzing the way these flow events take place and what determines their outcomes has been a real challenge, and most research has been confined to two-dimensional experiments that don’t reveal the full picture of how these materials behave.

Now, researchers at MIT have developed a method that allows for detailed 3D experiments that can reveal exactly how forces are transmitted through granular materials, and how the shapes of the grains can dramatically change the outcomes. The new work may lead to better ways of understanding how landslides are triggered, as well as how to control the flow of granular materials in industrial processes. The findings are described in the journal PNAS in a paper by MIT professor of civil and environmental engineering Ruben Juanes and Wei Li SM ’14, PhD ’19, who is now on the faculty at Stony Brook University.

After some inventive sleuthing, the mission team can — for the first time in five months — check the health and status of the most distant human-made object in existence.

Observations of the Southern Ocean show that wind can produce the surface states needed to generate rare “rogue” waves.

Researchers still disagree on what causes rare and large “rogue waves,” which can damage ships, lighthouses, and other structures. Now, using combined measurements of wave heights and wind speed in an oceanic region known for its rough seas, a research team has demonstrated that wind can produce the wave conditions expected to lead to rogue waves [1]. Previously, this idea was demonstrated only in laboratory experiments. The researchers hope this new understanding will contribute to the development of methods for predicting this dangerous phenomenon.

There is no consensus on what causes rogue waves in the ocean, says Alessandro Toffoli, an expert in infrastructure engineering at the University of Melbourne, Australia. One prominent view is that oceanic rogue waves occur purely through a statistical effect: although waves typically follow a “normal,” or Gaussian, distribution, with heights strongly clustering around an average, a fortuitous convergence of many such waves can occasionally produce a very large wave.

Researchers have developed a high-performance energy management unit (EMU) that significantly boosts the efficiency of electrostatic generators for Internet of Things (IoT) applications. This breakthrough addresses the challenge of high impedance mismatch between electrostatic generators and electronic devices, unlocking new possibilities for ambient energy harvesting.

Electrostatic generators have emerged as a promising solution for powering low-power devices in Internet of Things (IoT) networks, utilizing energy from environmental sources such as wind and human motion. Despite their potential, the effectiveness of these generators has been hampered by an impedance mismatch when connected to electronic devices, leading to low energy utilization efficiency.

A study published in the journal Microsystems & Nanoengineering introduces an efficient energy management unit (EMU) designed to significantly boost the power efficiency of electrostatic generators for IoT devices. This innovation addresses the longstanding challenge of impedance mismatch and propels forward the potential for using environmental energy harvesting within the IoT domain.

In a major clean energy benchmark, wind, solar, and hydro exceeded 100% of demand on California’s main grid for 30 of the past 38 days.

Stanford University professor of civil and environmental engineering Mark Z. Jacobson has been tracking California’s renewables performance, and he shares his findings on Twitter (X) when the state breaks records. Yesterday he posted:

Jacobson notes that supply exceeds demand for “0.25–6 h per day,” and that’s an important fact. The continuity lies not in renewables running the grid for the entire day but in the fact that it’s happening on a consistent daily basis, which has never been achieved before.

Protein language models learn from diverse sequences spanning the evolutionary tree and have proven to be powerful tools for sequence design, variant effect prediction and structure prediction. What are the foundations of protein language models, and how are they applied in protein engineering?

Researchers at the MIT Department of Chemical Engineering have created a new method of cleaning micropollutants from water, using zwitterionic molecules — i.e., molecules with the same number of positive and negative charges.

Devashish Gokhale, a PhD student and one of the researchers, explained zwitterionic molecules by comparing them to magnets.

“On a magnet, you have a north pole and a south pole that stick to each other, and on a zwitterionic molecule, you have a positive charge and a negative charge which stick to each other in a similar way,” he said in a release by MIT News.