FilthPig
Veteran
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- Jul 28, 2021
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Mask probably. Seems both of them are playd by someone else ...
Mask probably. Seems both of them are playd by someone else ...
These guys are busy telling us they have a mega event planned and we should expect the unexpected. Granted, some of this is often times fear porn on their part to keep us on the edge....but this time, i don't think so. Given the White Noise film, maybe we should look again at the films released since 2020. Personally, aside from the monetary reset, iam only expecting 2 things:Terminator Resistance said:Strengthen your body and your mind, things might become a lot rougher this year.
“We all have to change our mindset to be much more agile and much more oriented towards building resilience at all levels, so we can handle the shocks better,” Georgieva added, noting that resistance comes in the form of ensuring that the very “fabric” of each country and its society is strong.“What we are very concerned [about] is one, the unexpected,” Georgieva said.
“What COVID and the war taught us is we live in a more shock-prone world. What the earthquake in Turkey and Syria taught us is, to think of the unthinkable.
Straight out of Batman Forever
I detest Nita Farahany. She was the same person who, in WEF’s 2015 promo video for the Fourth Industrial Revolution, said; “the very idea of ‘human’, being some sort of natural concept, is really going to change…our bodies are going to be so high-tech we won’t really be able to distinguish between what’s natural and what’s artificial”.
What she said at this year’s WEF raises many questions. For a good while now, my suspicion about the utterly ridiculous push for people to wear face shields was precisely about this…get people used to wearing something on their heads all day. 4 years into the experiment and even the most ardent covid believer won’t wear a face shield which then begs the question; are the EEG readers really going to be (external) wearables? Because Yuval Harari was pretty clear about “surveillance being under the skin…algorithms will monitor your eye movements as you look at the screen…”
It also made me wonder…how do we know that manufacturers of ear phones and headsets weren’t secretly installing EEG reading tech in their products atleast pre-covid? Because those are things that people use all the time and hardly anyone is going to consciously walk into a store, buy an EEG reader and walk around with it on their head all day.
Then again, her presentation also made me wonder if it was all a victory lap for her and her handlers (as in the covid vaxx got this tech into billions of people)....and everyone is wondering why there is no revolution. This was posted in the Covid thread but I’ve picked out the interesting bits (sorry, i can't copy-paste).
In essence, the Prometheus Project went live in 2020.
Mahsa Shoaran from the Integrated Neurotechnology Laboratory of the School of Engineering, in collaboration with Stephanie Lacour from the Laboratory of Soft Bioelectronic Interfaces, developed NeuralTree, a closed neuromodulation system on a chip that can detect and alleviate the symptoms of diseases.
Thanks to a 256-channel high-resolution sensor matrix and an energy-efficient machine learning processor, the system can extract and classify a wide range of biomarkers from patient data and animal models of diseases in vivo, which leads to a high degree of accuracy in predicting symptoms.
NeuralTree benefits from the accuracy of the neural network and the hardware efficiency of the decision tree algorithm," says Shoaran.
For the first time, we were able to integrate such a complex but energy-efficient neural interface for binary classification tasks, such as the detection of seizures or tremors, as well as for multi-class tasks, such as the classification of finger movements for neuroprosthetics.
The results of the work were presented at the IEEE 2022 International Conference on Solid-State Circuits and published in the IEEE Journal of Solid-State Circuits, the flagship journal of the integrated circuit community.
NeuralTree: A 256-Channel 0.227-μJ/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC
Closed-loop neural interfaces with on-chip machine learning can detect and suppress disease symptoms in neurological disorders or restore lost functions in paralyzed patients. While high-density neural recording can provide rich neural activity information for accurate disease-state detection...ieeexplore.ieee.org
Efficiency, scalability and versatility
NeuralTree functions by extracting neural biomarkers from brainwaves—patterns of electrical signals that are known to be associated with certain neurological disorders. The device then classifies the signals and determines whether they portend an impending epileptic seizure or, for example, a Parkinsonian tremor. If a symptom is detected, the neurostimulator, also located on the chip, is activated and sends an electrical pulse to block it.
Shoaran explains that the unique design of NeuralTree provides the system with unprecedented efficiency and versatility compared to modern developments. The chip has 256 input channels, compared to 32 for previous embedded machine learning devices, which allows more data to be processed.
The area-efficient design of the chip means that it is also very small (3.48 mm2), which gives it great potential to scale to more channels. The integration of the "energy-aware" learning algorithm, which limits functions that consume a lot of energy, also makes NeuralTree very energy efficient.
In addition to these advantages, the system can detect a wider range of symptoms than other devices, which until now have focused mainly on detecting epileptic seizures. The chip's machine learning algorithm was trained on data arrays of patients with epilepsy and Parkinson's disease and accurately classified pre-recorded neural signals from both categories.
As far as we know, this is the first demonstration of the detection of Parkinsonian tremor using a classifier on a chip," says Shoaran.
Self-updating algorithms
Shoaran strives to make neurointerfaces more intelligent in order to ensure effective disease control, and is already looking forward to further innovations.
Eventually we will be able to use neural interfaces to treat many different disorders, and for this we need algorithm ideas and progress in chip development. This work is interdisciplinary in nature, so it also requires collaboration with laboratories such as the Laboratory of Soft Bioelectronic Interfaces, which can develop the most advanced neural electrodes, or with laboratories that have access to high-quality patient data.
As a next step, the author is interested in providing the possibility of updating algorithms on a chip to keep up with the evolution of neural signals.
Neural signals change, and therefore, over time, the performance of the neural interface decreases. We always try to make algorithms more accurate and reliable, and one way to do this may be to enable updates on a chip, or algorithms that are able to update themselves.
30.01.2023
Bioengineers from Sweden have developed a technology for forming electrodes inside living tissues. For the first time, they managed to successfully grow flexible electrically conductive devices inside living cells. This technology will be useful for the treatment of neurological diseases and the development of interfaces of interaction between the brain and the computer.
Conventional bioelectronics, based on classical semiconductor technologies, is limited in application, scientists explain. Such devices have a fixed and static design, which is difficult to combine with biological systems.
As an alternative, bioengineers have developed a method for creating soft, substrate-free materials with electronic conductivity in living tissues. To create them, scientists inject a gel containing enzymes that act as "assembly molecules" into living tissues. Contact with body substances changes the structure of the gel and makes it electrically conductive.
The endogenous molecules of the body are enough to cause the formation of electrodes, the scientists note. There is no need for genetic modification or external signals such as light or electrical energy. With the help of new technology, engineers managed to form electrodes in the brain, heart and tail fins of danio fish and around the nervous tissue of medical leeches. The material did not cause an immune reaction and did not affect the normal functioning of the body's systems in any way.
The technology of creating electrodes allows you to choose biological substructures that will form the electrodes, "target" the hydrogel. This allows you to grow suitable interfaces for nerve stimulation. In the long term, it is possible to manufacture fully integrated electronic circuits in living organisms, the authors believe.