Lifeboat Foundation

The mammalian retina is a complex system consisting out of cones (for color) and rods (for peripheral monochrome) that provide the raw image data which is then processed into successive layers of neurons before this preprocessed data is sent via the optical nerve to the brain’s visual cortex. In order to emulate this system as closely as possible, researchers at Penn State University have created a system that uses perovskite (methylammonium lead bromide, MAPbX₃) RGB photodetectors and a neuromorphic processing algorithm that performs similar processing as the biological retina.

Panchromatic imaging is defined as being ‘sensitive to light of all colors in the visible spectrum’, which in imaging means enhancing the monochromatic (e.g. RGB) channels using panchromatic (intensity, not frequency) data. For the retina this means that the incoming light is not merely used to determine the separate colors, but also the intensity, which is what underlies the wide dynamic range of the Mark I eyeball. In this experiment, layers of these MAPbX₃ (X being Cl, Br, I or combination thereof) perovskites formed stacked RGB sensors.

The output of these sensor layers was then processed in a pretrained convolutional neural network, to generate the final, panchromatic image which could then be used for a wide range of purposes. Some applications noted by the researchers include new types of digital cameras, as well as artificial retinas, limited mostly by how well the perovskite layers scale in resolution, and their longevity, which is a long-standing issue with perovskites. Another possibility raised is that of powering at least part of the system using the energy collected by the perovskite layers, akin to proposed perovskite-based solar panels.

Quantum effects are phenomena that occur between atoms and molecules that can’t be explained by classical physics. It has been known for more than a century that the rules of classical mechanics, like Newton’s laws of motion, break down at atomic scales. Instead, tiny objects behave according to a different set of laws known as quantum mechanics.

For humans, who can only perceive the macroscopic world, or what’s visible to the naked eye, quantum mechanics can seem counterintuitive and somewhat magical. Things you might not expect happen in the quantum world, like electrons “tunneling” through tiny energy barriers and appearing on the other side unscathed or being in two different places at the same time in a phenomenon called superposition.

I am trained as a quantum engineer. Research in quantum mechanics is usually geared toward technology. However, and somewhat surprisingly, there is increasing evidence that nature – an engineer with billions of years of practice — has learned how to use quantum mechanics to function optimally. If this is indeed true, it means that our understanding of biology is radically incomplete. It also means that we could possibly control physiological processes by using the quantum properties of biological matter.

Given this new information humans could modify their genetic code to rapidly accelerate their evolution aswell leading to a biological singularity of evolution.

Codfish have been telling a story of rapid fish evolution, reshaped by human activity more swiftly than previously assumed, reveals a cutting-edge study led by Rutgers University.

This evolutionary tale, illuminated during the latter half of the twentieth century, signifies the impact of human-driven overfishing. The findings suggest that evolutionary changes, once thought to span millions of years, can be catalyzed within mere decades.

Continue reading “Fish evolution takes place in decades — not millions of years” »

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Continue reading “Can We Move PLANET EARTH Across the Universe?” »

Radhika is a professor at Harvard and a core faculty member of the Wyss Institute for Biologically Inspired Engineering. She studies collective behavior in biological systems and how such behaviors can be applied to computing and robotics.

Radhika Nagpal is the Kavli Professor of Computer Science at Harvard University and a core faculty member of the Wyss Institute.
for Biologically Inspired Engineering. At Harvard, she leads the Self-organizing Systems Research Group (SSR) and her research combines.
computer science, robotics, and biology. Her main area of interest is how cooperation can emerge or be programmed from large groups of.
simple agents. Radhika Nagpal is a Core Faculty Member at the Wyss Institute for Biologically Inspired Engineering at Harvard, where she heads the Self-Organizing Systems Research Group in the study of collective behavior in biological systems and how such behaviors can be applied to computing and robotics. A professor at the Harvard School of Engineering and Applied Sciences (SEAS), her research draws on inspiration from social insects and multicellular biology, with the goal of creating globally robust systems made up of many cooperative parts.

Continue reading “Taming the swarm” »

Embark on a journey Beyond the Horizon, as we unravel the intriguing blend of Transhumanism, technology, and biology, revealing a potential future where human evolution and AI are inseparably linked.

Year 2021 😗

A new study shows how some microbes absorb and release electrons — a trait that may point to new fuels or ways to store energy.

Researchers from the RIKEN Center for Emergent Matter Science and collaborators have succeeded in creating a “superlattice” of semiconductor quantum dots that can behave like a metal, potentially imparting exciting new properties to this popular class of materials.

Semiconducting colloidal quantum dots have garnered tremendous research interest due to their special optical properties, which arise from the quantum confinement effect. They are used in solar cells, where they can improve the efficiency of energy conversion, biological imaging, where they can be used as fluorescent probes, electronic displays, and even quantum computing, where their ability to trap and manipulate individual electrons can be exploited.

However, getting semiconductor quantum dots to efficiently conduct electricity has been a major challenge, impeding their full use. This is primarily due to their lack of orientational order in assemblies. According to Satria Zulkarnaen Bisri, lead researcher on the project, “making them metallic would enable, for example, quantum dot displays that are brighter yet use less energy than current devices.”

Coccolithophores, a globally ubiquitous type of phytoplankton, play an essential role in the cycling of carbon between the ocean and atmosphere. New research from Bigelow Laboratory for Ocean Sciences shows that these vital microbes can survive in low-light conditions by taking up dissolved organic forms of carbon, forcing researchers to reconsider the processes that drive carbon cycling in the ocean. The findings were published this week in Science Advances.

The ability to extract carbon from the direct absorption of dissolved organic carbon is known as osmotrophy. Though scientists had previously observed osmotrophy by coccolithophores using lab-grown cultures, this is the first evidence of this phenomenon in nature.

The team, led by Senior Research Scientist William Balch, undertook their experiments in populations of coccolithophores across the northwest Atlantic Ocean. They measured the rate at which phytoplankton fed on three different organic compounds, each labeled with chemical markers to track them. The dissolved compounds were used by the coccolithophores as a carbon source for both the organic tissues that comprise their single cells as well as the inorganic mineral plates, called coccoliths, which they secrete around themselves. Uptake of the organic compounds was slow compared to the rate at which phytoplankton can take up carbon through photosynthesis. But it wasn’t negligible.