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Teaching physics to neural networks removes ‘chaos blindness’

Researchers from North Carolina State University have discovered that teaching physics to neural networks enables those networks to better adapt to chaos within their environment. The work has implications for improved artificial intelligence (AI) applications ranging from medical diagnostics to automated drone piloting.

Neural networks are an advanced type of AI loosely based on the way that our brains work. Our natural neurons exchange electrical impulses according to the strengths of their connections. Artificial neural networks mimic this behavior by adjusting numerical weights and biases during training sessions to minimize the difference between their actual and desired outputs. For example, a can be trained to identify photos of dogs by sifting through a large number of photos, making a guess about whether the photo is of a dog, seeing how far off it is and then adjusting its weights and biases until they are closer to reality.

The drawback to this is something called “ blindness”—an inability to predict or respond to chaos in a system. Conventional AI is chaos blind. But researchers from NC State’s Nonlinear Artificial Intelligence Laboratory (NAIL) have found that incorporating a Hamiltonian function into neural networks better enables them to “see” chaos within a system and adapt accordingly.

Clinicians identify pink eye as possible primary symptom of COVID-19

A case of pink eye is now reason to be tested for COVID-19, according to University of Alberta researchers.

Coughing, fever and difficulty breathing are common symptoms of the illness, but a recent case study involving an Edmonton woman and published in the Canadian Journal of Ophthalmology has determined that conjunctivitis and keratoconjunctivitis can also be primary symptoms.

In March, a 29-year-old woman arrived at the Royal Alexandra Hospital’s Eye Institute of Alberta with a severe case of conjunctivitis and minimal respiratory symptoms. After the patient had undergone several days of treatment with little improvement—and after it had been determined that the woman had recently returned home from Asia—a resident ordered a COVID-19 test. The test came back positive.

Honeywell Shows Quantum Computers Are Always Right

Honeywell stock doesn’t trade on quantum fundamentals yet. Shares are down about 16% year to date, worse than the comparable drops of the S&P 500 and Dow Jones Industrial Average. Honeywell is a large aerospace supplier, and the commercial aviation business has been hammered by Covid-19. Boeing (BA) stock, for instance, is off more than 40% year to date.

Honeywell stock is flat in early Friday trading. The S&P is up about 0.8%.

The quantum-computing industry hasn’t yet arrived, despite today’s announcement. But quantum computers are already better than regular computers in certain instances. Google parent Alphabet (GOOGL) demonstrated the ability of its rudimentary quantum computer to beat traditional systems.

Synthetic Plasma Liquid Based Electronic Circuits Realization-A Novel Concept

Circa 2016


Biomedical research is contributing significant role in the field of biomedical engineering and applied science. It brings research and innovations to a different level. This study investigated artificial human blood –synthetic plasma liquid as conductive medium. Keeping in mind the conductivity of synthetic plasma, astable multivibrator as well as differential amplifier circuit were demonstrated. The circuits were given normal input voltages at regular temperature and ideal conditions. The result shows desired response which supports the novel concept. For both the circuits, phase shift of 180° achieved by analysing biological electronic circuits.

Keywords: Synthetic plasma, biomedical science, human body.

Human brain size gene triggers bigger brain in monkeys

The expansion of the human brain during evolution, specifically of the neocortex, is linked to cognitive abilities such as reasoning and language. A certain gene called ARHGAP11B that is only found in humans triggers brain stem cells to form more stem cells, a prerequisite for a bigger brain. Past studies have shown that ARHGAP11B, when expressed in mice and ferrets to unphysiologically high levels, causes an expanded neocortex, but its relevance for primate evolution has been unclear.

Researchers at the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) in Dresden, together with colleagues at the Central Institute for Experimental Animals (CIEA) in Kawasaki and the Keio University in Tokyo, both located in Japan, now show that this human-specific gene, when expressed to physiological levels, causes an enlarged in the common marmoset, a New World monkey. This suggests that the ARHGAP11B gene may have caused neocortex expansion during human evolution. The researchers published their findings in the journal Science.

The human neocortex, the evolutionarily youngest part of the cerebral cortex, is about three times bigger than that of the closest human relatives, chimpanzees, and its folding into wrinkles increased during evolution to fit inside the restricted space of the skull. A key question for scientists is how the human neocortex became so big. In a 2015 study, the research group of Wieland Huttner, a founding director of the MPI-CBG, found that under the influence of the human-specific gene ARHGAP11B, mouse embryos produced many more neural progenitor cells and could even undergo folding of their normally unfolded neocortex. The results suggested that the gene ARHGAP11B plays a key role in the evolutionary expansion of the human neocortex.

Researchers uncover new insights into Alzheimer’s disease

A new study by Florida State University researchers may help answer some of the most perplexing questions surrounding Alzheimer’s disease, an incurable and progressive illness affecting millions of families around the globe.

FSU Assistant Professor of Psychology Aaron Wilber and graduate student Sarah Danielle Benthem showed that the way two parts of the interact during sleep may explain symptoms experienced by Alzheimer’s patients, a finding that opens up new doors in dementia research. It is believed that these interactions during sleep allow memories to form and thus failure of this normal system in a brain of a person with Alzheimer’s disease may explain why memory is impaired.

The study, a collaboration among the FSU Program in Neuroscience, the University of California, Irvine, and the University of Lethbridge in Alberta, Canada, was published online in the journal Current Biology and will appear in the publication’s July 6 issue.

Scientists Found a Way to Make Brain Tissue Indestructible

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Superhero-like stretching capabilities aren’t just for Elastigirl. Researchers at the Massachusetts Institute of Technology have come up with a new technology that can make any tissue sample exceptionally flexible.

ELAST technology (Entangled Link-Augmented Stretchable Tissue-hydrogel) is a chemical process that makes tissue samples very thin, very stretchy, compressible, and borderline indestructible. With it, lab technicians can more quickly and easily conduct fluorescent labeling in cells, proteins, or other genetic materials within organs like the brain or lungs. That, in turn, could enable faster research discoveries.

The MIT researchers published their work last month in the journal Nature Methods.

A fair reward ensures a good memory, study reveals

How does our memory work, and how can we optimize its mechanisms on a daily basis? These questions are at the heart of many neuroscience research projects. Among the brain structures examined to better understand memory mechanisms, the reward system is now at the center of investigations. Through the examination of brain activity in healthy human subjects, scientists from the University of Geneva (UNIGE) have highlighted the lasting positive effect of a reward—monetary, in this case—on the ability of individuals to retain a variety of information. Moreover, and much more surprisingly, the research team demonstrated that the average accumulation of reward should be neither too small nor too large. By ensuring an effective neural dialog between the reward circuit and the memory circuit, this delicate balance allows the proper encoding of memories in our brain. These results can be read in Nature Communications.

Empirically, it seems quite logical that obtaining a can improve the memories associated with it. But what are the brain mechanisms at work, and how can we exploit them to optimize our memory capacity?

“The positive influence of a reward on memory is a well-known phenomenon,” says Sophie Schwartz, full professor in the Department of Basic Neurosciences at the UNIGE Faculty of Medicine, who led this work. “However, our experiment aimed to take a further step in understanding this mechanism by looking at two important aspects: does the effect last over time and what role does the accumulation of reward play?”