Lifeboat Foundation

Trying to make computers more like human brains isn’t a new phenomenon. However, a team of researchers from Johns Hopkins University argues that there could be many benefits in taking this concept a bit more literally by using actual neurons, though there are some hurdles to jump first before we get there.

In a recent paper, the team laid out a roadmap of what’s needed before we can create biocomputers powered by human brain cells (not taken from human brains, though). Further, according to one of the researchers, there are some clear benefits the proposed “organoid intelligence” would have over current computers.

“We have always tried to make our computers more brain-like,” Thomas Hartung, a researcher at Johns Hopkins University’s Environmental Health and Engineering department and one of the paper’s authors, told Ars. “At least theoretically, the brain is essentially unmatched as a computer.”

Is self-consciousness necessary for consciousness? The answer is yes. So there you have it—the answer is yes. This was my response to a question I was asked to address in a recent AEON piece (https://aeon.co/essays/consciousness-is-not-a-thing-but-a-process-of-inference). What follows is based upon the notes for that essay, with a special focus on self-organization, self-evidencing and self-modeling. I will try to substantiate my (polemic) answer from the perspective of a physicist. In brief, the argument goes as follows: if we want to talk about creatures, like ourselves, then we have to identify the characteristic behaviors they must exhibit. This is fairly easy to do by noting that living systems return to a set of attracting states time and time again. Mathematically, this implies the existence of a Lyapunov function that turns out to be model evidence (i.e., self-evidence) in Bayesian statistics or surprise (i.e., self-information) in information theory. This means that all biological processes can be construed as performing some form of inference, from evolution through to conscious processing. If this is the case, at what point do we invoke consciousness? The proposal on offer here is that the mind comes into being when self-evidencing has a temporal thickness or counterfactual depth, which grounds inferences about the consequences of my action. On this view, consciousness is nothing more than inference about my future; namely, the self-evidencing consequences of what I could do.

There are many phenomena in the natural sciences that are predicated on the notion of “self”; namely, self-information, self-organization, self-assembly, self-evidencing, self-modeling, self-consciousness and self-awareness. To what extent does one entail the others? This essay tries to unpack the relationship among these phenomena from first (variational) principles. Its conclusion can be summarized as follows: living implies the existence of “lived” states that are frequented in a characteristic way. This mandates the optimization of a mathematical function called “surprise” (or self-information) in information theory and “evidence” in statistics. This means that biological processes can be construed as an inference process; from evolution through to conscious processing. So where does consciousness emerge? The proposal offered here is that conscious processing has a temporal thickness or depth, which underwrites inferences about the consequences of action.

“Computers that run on this ‘biological hardware’ could in the next decade begin to alleviate energy-consumption demands of supercomputing.”

Johns Hopkins University researchers have outlined plans for a “bio-computer” that is highly feasible in our lifetime.

“Computing and artificial intelligence have been driving the technology revolution, but they are reaching a ceiling,” Thomas Hartung, a professor of environmental health sciences at the Johns Hopkins Bloomberg School of Public Health and Whiting School of Engineering, who is spearheading the work, said in a statement.

An updated metric for prioritizing species’ conservation that incorporates scientific uncertainty and complementarity between species, in addition to extinction risk and evolutionary distinctiveness, has been published on February 28 in the open access journal PLOS Biology, authored by Rikki Gumbs from the Zoological Society of London (ZSL), U.K., and colleagues.

In 2007, ZSL established the Evolutionarily Distinct and Globally Endangered (EDGE) metric to prioritize species for conservation based on preserving evolutionary history embodied within endangered species. The approach allocates each species a score based on the evolutionary distance, measured in millions of years, that separates a species from its closest living relatives, and its conservation status in the IUCN Red List.

EDGE has since been applied to mammals, amphibians, birds, sharks and rays, corals, and flowering plants, and is used to allocate conservation funding. To update the EDGE metric to incorporate recent advances in evolutionary biology and conservation, ZSL hosted a workshop for conservation scientists and practitioners, who reached a consensus on EDGE2—an updated metric that includes the extinction risk of closely related species and uncertainty in species’ relationships and conservation status.

Water is a vital resource, and clean water is a necessity. Texas A&M University researchers have developed a new technique to monitor one of the key processes of purifying water in real time.

Raw water contains microscopic pathogens that are too small to remove during water and wastewater treatment easily. Chemicals are added to form large clumps called flocs, which are easily filtered out. Flocculation is the process used in water treatment to remove suspended particles from the water.

“Coagulant chemicals need to be added to purify drinking water and remove turbidity (cloudiness) and microbes that are too small to be visible to the naked eye,” said Dr. Kuang-An Chang, professor in the Zachry Department of Civil and Environmental Engineering at Texas A&M.

We’ve known about telomeres for more than 80 years, but these tiny, protective structures at the end of the chromosomes keep revealing secrets to us, including the possibility of having surprising functions.

It turns out that these key biological cogs can produce proteins, something previously thought impossible due to their simplicity.

While it’s not clear yet what these proteins might do, the fact that they exist at all is significant.

Dr. Tamar Gutnick, first author and former postdoctoral researcher in the Physics and Biology Unit at the Okinawa Institute of Science and Technology (OIST), said, “If we want to understand how the brain works, octopuses are the perfect animal to study as a comparison to mammals. They have a large brain, an amazingly unique body, and advanced cognitive abilities that have developed completely differently from those of vertebrates.”

“Octopuses have eight powerful and ultra-flexible arms, which can reach anywhere on their body. If we tried to attach wires to them, they would immediately rip it off, so we needed to get the equipment out of their reach by placing it under their skin.”

Continue reading “Scientists have successfully recorded brain activity from freely moving octopuses” »

Humans and animals detect different stimuli such as light, sound, and odor through nerve cells, which then transmit the information to the brain. Nerve cells must be able to adjust to the wide range of stimuli they receive, which can range from very weak to very strong. To do this, they may become more or less sensitive to stimuli (sensitization and habituation), or they may become more sensitive to weaker stimuli and less sensitive to stronger stimuli for better overall responsiveness (gain control). However, the exact way this happens is not yet understood.

To better understand the process of gain control, a research team led by Professor Kimura at Nagoya City University in Japan studied the roundworm C. elegans. They found that, when the worm first smells an unpleasant odor, its nerve cells exhibit a large, quickly increasing, and continuous response to both weak and strong stimuli. However, after exposure to the odor, the response is smaller and slower to weak stimuli but remains large to strong stimuli, similar to the response to the first exposure to the odor. Because the experience of odor exposure causes more efficient movement of worms away from the odor, the nerve cells have changed their response to better adapt to the stimulus using gain control.

Then the researchers used mathematical modeling to understand this process. Mathematical modeling is a powerful tool that can be used to better understand complex biological processes. They found that the “response to first smell” consists of fast and slow components, while the “response after exposure” only consists of the slow component, meaning that the odor experience inhibits the fast component to achieve gain control. They further found that both responses could be described by a simple differential equation and that the slow and fast components correspond to the leaky integration of a first and second derivative term of the odor concentration that the worm senses, respectively. The results of this study showed that the prior odor experience only appears to inhibit the mechanism required for the fast component.

A team of biology researchers from Universität der Bundeswehr, Technische Universität München and the University of Cassino and Southern Lazio, has found that people exhale more aerosols when engaging in endurance exercise than they do when engaging in resistance exercise. The study is published in the Proceedings of the National Academy of Sciences.

As the global pandemic has progressed, scientists across the globe have studied various aspects of the SARS-CoV-2 virus spread. One such area of study has been comparison of types of activities that are more or less conducive to transmission of the virus.

In this new study, the researchers looked at exercise options and their related risk. Going to gyms to exercise is a popular way to keep in shape. But doing so can put people at risk from both airborne and surface viral and bacterial infections.