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and this means humans will use brain computer interface to transact, but where will the AGI’s economy take shape, and how will you take part?

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The downscaling of electronic devices, such as transistors, has reached a plateau, posing challenges for semiconductor fabrication. However, a research team led by materials scientists from City University of Hong Kong (CityU) recently discovered a new strategy for developing highly versatile electronics with outstanding performance using transistors made of mixed-dimensional nanowires and nanoflakes.

This innovation paves the way for simplified chip circuit design, offering versatility and low power dissipation in future electronics. The findings, titled “Multifunctional anti-ambipolar electronics enabled by mixed-dimensional 1D GaAsSb/2D MoS₂ heterotransistors,” were published in the journal Device.

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.

Star Trek is the most popular and longest running Sci-Fi franchise in American history. Created by Gene Roddenberry, Star Trek follows the various crew of Starfleet in their missions across the galaxy.

This presentation showcases the inspiration behind Star Trek, how the Federation came to be, examines the post-scarcity economy featured in their future Earth society, and explores the philosophies of all of the major alien cultures shown throughout the Star Trek series.

Continue reading “The Philosophy of Star Trek [Federation, Post Scarcity Economy, Alien Cultures]” »

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.