Lifeboat Foundation

The most popular words of 2023 were recently released, with AI Large Language Model (LLM) unquestionably topping the list. As a front-runner, ChatGPT also emerged as one of the international buzzwords of the year. These disruptive innovations in AI owe much to big data, which has played a pivotal role. Yet, AI has simultaneously presented new opportunities and challenges to the development of big data.

High-capacity data storage is indispensable in today’s digital economy. However, major storage devices like hard disk drives and semiconductor flash devices face limitations in terms of cost-effectiveness, durability, and longevity.

Optical data storage offers a promising green solution for cost-effective and long-term data storage. Nonetheless, optical data storage encounters a fundamental limitation in the spacing of adjacent recorded features, owing to the optical diffraction limit. This physical constraint not only impedes the further development of direct laser writing machines but also affects optical microscopy and storage technology.

A chemical etching method for widening the pores of metal-organic frameworks (MOFs) could improve various applications of MOFs, including in fuel cells and as catalysts. Researchers at Nagoya University in Japan and East China Normal University in China developed the new method with collaborators elsewhere in Japan, Australia, and China, and their work was published in the Journal of the American Chemical Society.

MOFs are porous materials composed of metal clusters or ions interconnected by carbon-based (organic) linker groups. Varying the metallic and organic components generates a variety of MOFs suitable for a wide range of applications, including catalysis, chemical separation, and gas storage.

Some MOFs have clear potential for catalyzing the chemical reactions inside fuel cells, which are being explored as the basis of renewable energy systems. Because they don’t use fossil fuels, fuel cells could play a key role in the transition to a low-or zero-emissions economy to combat climate change.

Back in 2007, statistician Nassim Nicholas Taleb described a “Black Swan” as an occurrence that “is an outlier,” meaning it deviates from accepted wisdom. Accordingly, black swans are unanticipated, and uncommon, and can result from geopolitical, economic, or other unanticipated occurrences.

Because of major advances in computing, we can now anticipate, and, with applied risk management, help contain what was described as Black Swan events. So, in effect, with predictive analytical capabilities enabled by artificial intelligence, most Black Swans have now morphed into what is now termed Grey Swan events.

An industry leader in the insurance sector, Aon, defines Black Swan events as unexpected, unanticipated shocks. They depict unexpected but predicted surprises that are known as “Grey Swan events.” Similar to Black Swans, they can have a profound effect.

The miniaturization of electronic components, including transistors, has hit a plateau, presenting obstacles in the production of semiconductors. Nonetheless, a group of researchers, led by experts in materials science from the City University of Hong Kong (CityUHK), has unveiled a novel approach for creating highly versatile and high-performing electronics using transistors made of mixed-dimensional nanowires and nanoflakes. This breakthrough facilitates easier chip circuitry design and promotes the development of future electronic devices that are both flexible and energy-efficient.

In recent decades, as the continuous scaling of transistors and integrated circuits has started to reach physical and economic limits, fabricating semiconductor devices in a controllable and cost-effective manner has become challenging. Further scaling of transistor size increases current leakage and thus power dissipation. Complex wiring networks also have an adverse impact on power consumption.

Multivalued logic (MVL) has emerged as a promising technology for overcoming increasing power consumption. It transcends the limitations of conventional binary logic systems by greatly reducing the number of transistor components and their interconnections, enabling higher information density and lower power dissipation. Significant efforts have been devoted to constructing various multivalued logic devices, including anti-ambipolar transistors (AAT).

Do the impacts of deforestation go beyond the environment? What about human health, specifically the health of children? This is what a recent study published in Economics & Human Biology hopes to address as Dr. Gabriel Fuentes Cordoba, who is an associate professor of economics from Sophia University in Japan, investigated how deforestation in Cambodia effects the health of children around the time of their birth. This study holds the potential to help scientists, conservationists, and the public better understand the health effects of deforestation, specifically with the increasing effects of climate change around the world.

For the study, Dr. Fuentes Cordoba analyzed data obtained from the Cambodian Demographic Health Surveys and forest loss to ascertain the health impacts for pregnant women and children under five years of age who reside in areas of deforestation. In the end, Dr. Fuentes Cordoba discover alarming results that suggest deforestation exposure to women less than one year before pregnancy could lead to development of anemia, which is a precursor to malaria. This could result in significant health impacts on children being born, specifically reductions in birth weight, along with overall height and weight as they age.

“This research shows a negative impact of deforestation on child health,” Dr. Fuentes Cordoba said in a statement. “This negative impact may persist into adulthood and affect other aspects of wellbeing such as education acquisition and even wages. My findings indicate that future research should explore this aspect further.”

Human coexistence depends on cooperation. Individuals have different motivations and reasons to collaborate, resulting in social dilemmas, such as the well-known prisoner’s dilemma. Scientists from the Chatterjee group at the Institute of Science and Technology Austria (ISTA) now present a new mathematical principle that helps to understand the cooperation of individuals with different characteristics. The results, published in PNAS, can be applied to economics or behavioral studies.

A group of neighbors shares a driveway. Following a heavy snowstorm, the entire driveway is covered in snow, requiring clearance for daily activities. The neighbors have to collaborate. If they all put on their down jackets, grab their snow shovels, and start digging, the road will be free in a very short amount of time. If only one or a few of them take the initiative, the task becomes more time-consuming and labor-intensive. Assuming nobody does it, the driveway will stay covered in snow. How can the neighbors overcome this dilemma and cooperate in their shared interests?

Scientists in the Chatterjee group at the Institute of Science and Technology Austria (ISTA) deal with cooperative questions like that on a regular basis. They use game theory to lay the mathematical foundation for decision-making in such social dilemmas.

Colombia’s government on Friday announced an expedition to remove items of “incalculable value” from the wreck of the legendary San Jose galleon, which sank in 1708 while laden with gold, silver and emeralds estimated to be worth billions of dollars. The 316-year-old wreck, often called the “holy grail” of shipwrecks, has been controversial, because it is both an archaeological and economic treasure.

Culture Minister Juan David Correa told AFP that more than eight years after the discovery of the wreck off Colombia’s coast, an underwater robot would be sent to recover some of its bounty.

To give AI-focused women academics and others their well-deserved — and overdue — time in the spotlight, TechCrunch is launching a series of interviews focusing on remarkable women who’ve contributed to the AI revolution. We’ll publish several pieces throughout the year as the AI boom continues, highlighting key work that often goes unrecognized. Read more profiles here.

Irene Solaiman began her career in AI as a researcher and public policy manager at OpenAI, where she led a new approach to the release of GPT-2, a predecessor to ChatGPT. After serving as an AI policy manager at Zillow for nearly a year, she joined Hugging Face as the head of global policy. Her responsibilities there range from building and leading company AI policy globally to conducting socio-technical research.

Solaiman also advises the Institute of Electrical and Electronics Engineers (IEEE), the professional association for electronics engineering, on AI issues, and is a recognized AI expert at the intergovernmental Organization for Economic Co-operation and Development (OECD).

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Recycling nutrients is essential for closing nutrient loops within a circular economy. Using locally available resources such as human excreta to produce bio-based recycling fertilizers can substitute mineral fertilizers and thereby promote environmentally friendly food production. To better understand the fertilizer potential and nitrogen value of human excreta, three novel and safe recycling products were evaluated in a field experiment. Two nitrified urine fertilizers (NUFs) and one fecal compost were applied alone or in combination, and compared against the commercial organic fertilizer vinasse. In addition, the uptake of pharmaceuticals was assessed for treatments with compost application. White cabbage (Brassica oleracea var. capitata f. alba) was cultivated in plots in three different soil types (sand, loam or silt) treated with the fertilizers according to plant needs and mineral soil nitrogen content. The two NUFs resulted in marketable yields similar to those of vinasse in all soil types. Combining fecal compost with a NUF led to increased marketable yield compared to compost alone. The highest yield was recorded from the sandy soil, where vinasse and NUF treatments led to comparable yields, as expected in organic productions systems (up to 72 t ha⁻¹). The cabbage yield and total aboveground fresh biomass followed the following trend in all soils: NUFs ∼ vinasse ≥ compost + NUF ≥ compost. Nitrogen uptake in the cabbage heads and total biomass was significantly higher in sand (69.5–144 kg ha⁻¹) than loam (71.4–95.8 kg ha⁻¹). All compost treatments alleviated the effect of soil type and resulted in comparable nitrogen uptake and yield in all soil types. Plant uptake of pharmaceuticals (Carbamazepin) was higher in sand than in loam, and concentration in the edible part was lower than in the outer leaves. In conclusion, NUF alone appears to be a promising successful fertilizer substitute in horticultural food production. The combined application of NUF and compost led to slightly lower crop yields, but may increase soil carbon content in the long term, promoting climate-friendly food production.

In view of a growing world population and the human alteration of nutrient cycles, including nitrogen (N) and phosphorus ℗ (Rockström et al., 2009), transforming food production is a major challenge of this century (Springmann et al., 2018). Both N and P are essential nutrients for healthy plant growth in crop production; however, their addition to synthetic fertilizers is currently organized in a linear economy. The Haber-Bosch process, used to generate plant-available N from its airborne unreactive form, is energy intensive, depending on fossil fuels such as natural gas, and associated with high greenhouse gas emissions (Wang et al., 2021). P is obtained from finite, depleting phosphate rock resources and its mining is increasingly more expensive and polluting (Desmidt et al., 2015). This background emphasize the need for significant improvements of nutrient management in agriculture and for alternative, circular N and P sources to achieve global food security (Gerten et al.