Lifeboat Foundation

Advanced Quantum Technologies is a peer reviewed journal that has published a paper – Global Room-Temperature Superconductivity in Graphite. The researchers are from Brazil, Italy and Switzerland.

They use the scotch-taped cleaved pyrolytic graphite carrying the wrinkles that resulted from this cleaving to which they also refer as to line defects. They detected experimental evidence for the global zero-resistance state. The experimental data clearly demonstrated that the array of nearly parallel linear defects that form due to the cleaving of the highly oriented pyrolytic graphite hosts one-dimensional superconductivity.

One-Dimensional room temperture and room pressure superconductivity is what part of the theory and claims proposed for LK99 and sulfurized LK99 and PCPOSOS.

Although a significant number of neuromorphic devices applied to RC have been reported in recent years, the majority of these efforts have focused on shallow-RC with monotonic reservoir state spaces¹⁹. This can be attributed to the heavy reliance on monotonic carrier dynamics when using reported neuromorphic devices as reservoirs to map sequence signals, which gives rise to several noteworthy issues for RC when performing different spatiotemporal tasks. One major issue is that the narrow range ratio of spatial characteristics makes it difficult to extract the diversity spatial feature of sequence signal, which greatly limits the richness of the reservoir space state. As a result, during the process of mapping complex sequence signals, the reservoir state tends to overlap, making it difficult to effectively separate the spatial characteristics within complex information and subsequently reducing recognition accuracy. Another issue is the limited rang ratio of temporal characteristic, which hinders efficient extraction of temporal feature from sequential signals with diverse time-scales. For example, when performing dynamic trajectory prediction with abundant time-scales, the limited range ratio of temporal characteristic is difficult to adapt to the signal with different temporal feature, which severely limit the correlation of prediction. Despite researchers have achieved multi-scale temporal characteristics by increasing the number of signal modes in the input layer based on shallow-RC networks²⁰, as shown in the Supplement Information Fig. S1, the limitation of shallow-RC on spatial characteristics remain unresolved. Furthermore, increasing the input layer also means the requirement of more encoding design for sequence signals and the utilization of more physical devices to receive different modes of physical signals. This significantly increases the signal error rate and pre-processing cost of the input signals, which is detrimental to the robustness of RC. Therefore, developing new neuromorphic reservoir devices along with new RC networks to simultaneously meet large-scale spatial and temporal characteristics are highly required, which is crucial for achieving high-performance recognition and prediction in complex spatiotemporal tasks for RC networks.

Interestingly, primates in nature are able to quickly and accurately recognize complex object information, such as facial recognition, with the help of advanced synaptic dynamics mechanisms. Brain science research on primates has confirmed^20,21,22 that primates use a distributed memory characteristic for processing complex information. When the nervous system processes a task, each neuron and neural circuit processes only a part of the information and generates a part of the output. For example, as shown in Fig. 1a, when a primate observes an unfamiliar face, neurons in the temporal polar (TP) region (blue) respond to familiar eye features, forming TP feature memory. Neuron cells in the anterior-medial (AM) region respond to unfamiliar lip features, forming AM feature memory²³. In this way, all outputs are integrated by the cerebral cortex to form the final output result, significantly improving the computational efficiency and accuracy for complex information processing. The physiological significance of distributed memory characteristics in primates serves as inspiration for the design of physical node devices with distributed reservoir states in the reservoir layer of the RC system. These devices are intended to facilitate the distributed mapping of spatiotemporal signals. However, to date, no such devices have been demonstrated.

In this work, inspired by the distributed memory characteristic of primates, an ultra-short channel organic neuromorphic vertical field effect transistor with distributed reservoir states is proposed and used to implement grouped-RC networks. By coupling multivariate physical mechanisms into a single device, the dynamic states of carriers are greatly enriched. As reservoir nodes, sequential signals can be mapped to a distributed reservoir state space by various carrier dynamics, rather than by monotonic carrier dynamics. Additionally, a vertical architecture with ultra-short nanometers transport distance is adopted to eliminate the driving force of the dissociation exciton, thereby improving the feedback strength of the device and the reducing the overlap between different reservoir state space, which only cause negligible additional power. Consequently, the device serves as a reservoir capable of mapping sequential signals into distributed reservoir state space with 1,152 reservoir states, and the range ratio of temporal (key parameters for prediction) and spatial characteristics (key parameters for recognition) can simultaneously reach 2,640 and 650, respectively, which are superior to the reported neuromorphic devices. Therefore, the grouped-RC network implemented based on the device can simultaneously meet the requirements of two different spatiotemporal types task (broad-spectrum image recognition and dynamic trajectory prediction) and exhibits over 94% recognition accuracy and over 95% prediction correlation, respectively. This work proposes a strategy for developing neural hardware for complex reservoir computing networks and has great potential in the development of a new generation of artificial neuromorphic hardware and brain-like computing.

https://www.youtube.com/watch?v\u003dsDD_VcxmToE

To learn more, please visit the YouTube Help Center: https://www.youtube.com/help

Careful retooling of laser beams allows scientists to harness photons for performing quantum calculations.

Signals originating in the brain make their way to gut nerve cells, leading to a release of inflammatory chemicals.

Mental stress has long been linked to flare-ups of gastrointestinal conditions such as irritable bowel syndrome (IBS).

A bacterium in the intestines of stressed mice interferes with cells that protect against pathogens.

Using ideas drawn from celestial mechanics, a US research team shows how light can be channeled through a clear, uniform dielectric—without waveguides or total internal reflection.

Columbia researchers analyzing images from NASA’s James Webb Space Telescope have found that galaxies in the early universe are often flat and elongated, like breadsticks—and are rarely round, like balls of pizza dough.

“Roughly 50 to 80% of the galaxies we studied appear to be flattened in two dimensions,” explained Viraj Pandya, a NASA Hubble Fellow at Columbia University and the lead author of a new paper slated to appear in The Astrophysical Journal that outlines the findings. The paper is currently published on the arXiv preprint server.

“Galaxies that look like long, thin breadsticks seem to be very common in the early universe, which is surprising since they are uncommon among galaxies in the present-day universe.”

A new study reported that SARS-CoV-2, the virus that causes COVID, can infect dopamine neurons in the brain and trigger senescence—when a cell loses the ability to grow and divide. The researchers from Weill Cornell Medicine, Memorial Sloan Kettering Cancer Center, and Columbia University Vagelos College of Physicians and Surgeons suggest that further research on this finding may shed light on the neurological symptoms associated with long COVID, such as brain fog, lethargy, and depression.

The findings, published in Cell Stem Cell on Jan. 17, show that dopamine neurons infected with SARS-CoV-2 stop working and send out chemical signals that cause inflammation. Normally, these neurons produce dopamine, a neurotransmitter that plays a role in feelings of pleasure, motivation, memory, sleep, and movement. Damage to these neurons is also connected to Parkinson’s disease.

“This project started out to investigate how various types of cells in different organs respond to SARS-CoV-2 infection. We tested lung cells, heart cells, pancreatic beta cells, but the senescence pathway is only activated in dopamine neurons,” said senior author Dr. Shuibing Chen, director of the Center for Genomic Health, the Kilts Family Professor Surgery and a member of the Hartman Institute for Therapeutic Organ Regeneration at Weill Cornell Medicine. “This was a completely unexpected result.”

MKUltra is not referenced explicitly on Stranger Things — the popular Netflix show — but the series seems to be inspired by the controversial CIA program. In the show, a government laboratory is conducting illegal experiments on a young girl and other persons, torturing them, and harnessing their special abilities for their own purposes. This is similar to the goals of the CIA human experimentation project, which was started 70 years ago.

Controversial and unethical experiments were conducted on human subjects by the Agency for the MKUltra project, including the use of mind control techniques and the administration of drugs such as LSD and other chemicals. Electroshock, hypnosis, sensory deprivation, verbal and sexual abuse, and other forms of torture were also part of the non-consensual experiments, which were created because the CIA was convinced that communists had discovered a way to control human minds. Its activities — which were hidden and classified before their files being destroyed after an investigation — remain a subject of concern and investigation to this day.

MKUltra was a CIA program involving the research and development of chemical and biological agents. According to official documents, it was “concerned with the research and development of chemical, biological and radiological materials capable of employment in clandestine operations to control human behavior.”