Lifeboat Foundation

Even with the quantum rules governing the Universe, there are limits to what matter can withstand. Beyond that, black holes are unavoidable.

Astronomers used the Hubble Space Telescope to determine that a nearby exoplanet is losing its atmosphere due to interactions with its star.

Webb is casting the universe in a new light, but the space telescope’s discovery of a cosmological question mark has us scratching our heads.

New breakthrough in material design will help football players, car occupants, and hospital patients.

A significant breakthrough in the field of protective gear has been made with the discovery that football players were unknowingly acquiring permanent brain damage from repeated head impacts throughout their professional careers. This realization triggered an urgent search for better head protection solutions. Among these innovations is nanofoam, a material found inside football helmets.

Thanks to mechanical and aerospace engineering associate professor Baoxing Xu at the University of Virginia and his research team, nanofoam just received a big upgrade and protective sports equipment could, too. This newly invented design integrates nanofoam with “non-wetting ionized liquid,” a form of water that Xu and his research team now know blends perfectly with nanofoam to create a liquid cushion. This versatile and responsive material will give better protection to athletes and is promising for use in protecting car occupants and aiding hospital patients using wearable medical devices.

Industrial condition monitoring sensors collect data that facilitates intelligent decisions via machine learning or AI to predict machine failures and increase productivity.

Energy storing building materials could make on-demand power from renewables affordable worldwide.

Experimental studies of microbial evolution have largely focused on monocultures of model organisms, but most microbes live in communities where interactions with other species may impact rates and modes of evolution. Using the cheese rind model microbial community, we determined how species interactions shape the evolution of the widespread food-and animal-associated bacterium Staphylococcus xylosus. We evolved S. xylosus for 450 generations alone or in co-culture with one of three microbes: the yeast Debaryomyces hansenii, the bacterium Brevibacterium aurantiacum, and the mold Penicillium solitum. We used the frequency of colony morphology mutants (pigment and colony texture phenotypes) and whole-genome sequencing of isolates to quantify phenotypic and genomic evolution. The yeast D. hansenii strongly promoted diversification of S. xylosus.

Separation processes are essential in the purification and concentration of a target molecule during water purification, removal of pollutants, and heat pumping, accounting for 10–15% of global energy consumption. To make the separation processes more energy efficient, improvement in the design of porous materials is necessary. This could drastically reduce energy costs by about 40–70%. The primary approach to improving the separation performance is to precisely control the pore structure.

In this regard, porous carbon materials offer a distinct advantage as they are composed of only one type of atom and have been well-used for separation processes. They have large pore volumes and surface areas, providing high performance in gas separation, water purification, and storage. However, pore structures generally have high heterogeneity with low designability. This poses various challenges, limiting the applicability of carbon materials in separation and storage.

Now, a team of researchers from Japan, led by Associate Professor Tomonori Ohba from Chiba University and including master’s students, Mr. Kai Haraguchi and Mr. Sogo Iwakami, has fabricated fullerene-pillared porous graphene (FPPG)—a carbon composite comprising nanocarbons—using a bottom-up approach with highly designable and controllable pore structures.

So why not break the AI apart?

In a new study published in PNAS, the team took a page from cognitive neuroscience and built a modular AI agent.

The idea is seemingly simple. Rather than a monolithic AI—a single network that encompasses the entire “self”—the team constructed a modular agent, each part with its own “motivation” and goals but commanding a single “body.” Like a democratic society, the AI system argues within itself to decide on the best response, where the action most likely to yield the largest winning outcome guides its next step.