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Archive for the ‘robotics/AI’ category: Page 769

Jun 30, 2022

The century-old picture of a nerve spike is wrong: filaments fire, before membrane

Posted by in categories: information science, neuroscience, robotics/AI

Some insightful experiments have occasionally been made on the subject of this review, but those studies have had almost no impact on mainstream neuroscience. In the 1920s (Katz, E. [ 1 ]), it was shown that neurons communicate and fire even if transmission of ions between two neighboring neurons is blocked indicating that there is a nonphysical communication between neurons. However, this observation has been largely ignored in the neuroscience field, and the opinion that physical contact between neurons is necessary for communication prevailed. In the 1960s, in the experiments of Hodgkin et al. where neuron bursts could be generated even with filaments at the interior of neurons dissolved into the cell fluid [ 3 0, 4 ], they did not take into account one important question. Could the time gap between spikes without filaments be regulated? In cognitive processes of the brain, subthreshold communication that modulates the time gap between spikes holds the key to information processing [ 14 ][ 6 ]. The membrane does not need filaments to fire, but a blunt firing is not useful for cognition. The membrane’s ability to modulate time has thus far been assigned only to the density of ion channels. Such partial evidence was debated because neurons would fail to process a new pattern of spike time gaps before adjusting density. If a neuron waits to edit the time gap between two consecutive spikes until the density of ion channels modifies and fits itself with the requirement of modified time gaps, which are a few milliseconds (~20 minutes are required for ion-channel density adjustment [ 25 ]), the cognitive response would become non-functional. Thus far, many discrepancies were noted. However, no efforts were made to resolve these issues. In the 1990s, there were many reports that electromagnetic bursts or electric field imbalance in the environment cause firing [ 7 ]. However, those reports were not considered in work on modeling of neurons. This is not surprising because improvements to the Hodgkin and Huxley model made in the 1990s were ignored simply because it was too computationally intensive to automate neural networks according to the new more complex equations and, even when greater computing powers became available, these remained ignored. We also note here the final discovery of the grid-like network of actin and beta-spectrin just below the neuron membrane [ 26 ], which is directly connected to the membrane. This prompts the question: why is it present bridging the membrane and the filamentary bundles in a neuron?

The list is endless, but the supreme concern is probably the simplest question ever asked in neuroscience. What does a nerve spike look like reality? The answer is out there. It is a 2D ring shaped electric field perturbation, since the ring has a width, we could also state that a nerve spike is a 3D structure of electric field. In Figure 1a, we have compared the shape of a nerve spike, perception vs. reality. The difference is not so simple. Majority of the ion channels in that circular strip area requires to be activated simultaneously. In this circular area, polarization and depolarization for all ion channels should happen together. That is easy to presume but it is difficult to explain the mechanism.

Jun 29, 2022

A spatiotemporal model of firearm ownership in the United States

Posted by in categories: biotech/medical, neuroscience, robotics/AI

This study explores the relationship between the adoption of industrial robots and workplace injuries using data from the United States (US) and Germany. Our empirical analyses, based on establishment-level data for the US, suggest that a one standard deviation increase in robot exposure reduces work-related injuries by approximately 16%. These results are driven by manufacturing firms (−28%), while we detect no impact on sectors that were less exposed to industrial robots. We also show that the US counties that are more exposed to robot penetration experience a significant increase in drug-or alcohol-related deaths and mental health problems, consistent with the extant evidence of negative effects on labor market outcomes in the US. Employing individual longitudinal data from Germany, we exploit within-individual changes in robot exposure and document similar effects on job physical intensity (−4%) and disability (−5%), but no evidence of significant effects on mental health and work and life satisfaction, consistent with the lack of significant impacts of robot penetration on labor market outcomes in Germany.

Jun 29, 2022

Industrial Robots, Workers’ Safety, and Health☆

Posted by in categories: health, robotics/AI

Saúl Morales RodriguézAuthor


The success of deep learning depends heavily on the availability of large datasets, but in robotic manipulation there are many learning problems for which such datasets do not exist. Collecting these datasets is time-consuming and expensive, and therefore learning from small datasets is an important open problem. Within computer vision, a common approach to a lack of data is data augmentation. Data augmentation is the process of creating additional training examples by modifying existing ones. However, because the types of tasks and data differ, the methods used in computer vision cannot be easily adapted to manipulation. Therefore, we propose a data augmentation method for robotic manipulation. We argue that augmentations should be valid, relevant, and diverse.

Jun 29, 2022

Google’s powerful AI spotlights a human cognitive glitch

Posted by in categories: biotech/medical, robotics/AI

Stem cells in human urine have the potential to regenerate tissue.

Jun 29, 2022

‘Aping A Human Brain’ — Chinese Supercomputer, 4th Most Powerful In World, Achieves Big Breakthrough In AI?

Posted by in categories: robotics/AI, supercomputing

Chinese computer scientists recently claimed to have run an artificial intelligence program with architecture as complicated as the human brain.

Jun 29, 2022

Scientists Claim to Improve Human Brain Function With Implants and AI

Posted by in categories: biotech/medical, robotics/AI

“The analogy I often use is an electric bike,” he added. “When someone’s pedaling but having difficulty, the bike senses it and augments it. We’ve made the equivalent of that for human mental function.”

Participants in the trial reported that their anxiety got better once the system jumped into action, mostly due to the fact that they had more cognitive control and were able to shift their focus better.

“This could be a totally new approach in treating mental illness,” Widge said. “Instead of trying to suppress symptoms, we could give patients a tool that lets them take control of their own minds.”

Jun 29, 2022

The Creation of the Humanoids

Posted by in category: robotics/AI

Anticipation of mind uploading in this movie.


In a post-nuclear-war society, blue-skinned, silver-eyed human-like robots have become a common sight as the surviving population suffers from a decreasing birth rate and has grown dependent on their assistance. A fanatical organization tries to prevent the robots from becoming too human, fearing that they will take over. Meanwhile, a scientist experiments with creating human replicas that have genuine emotions and memories…

Continue reading “The Creation of the Humanoids” »

Jun 29, 2022

No, it’s not Sentient — Computerphile

Posted by in category: robotics/AI

A google researcher was put on leave because he apparently believed his AI project had become sentient. Dr Mike Pound discusses.

https://www.facebook.com/computerphile.
https://twitter.com/computer_phile.

Continue reading “No, it’s not Sentient — Computerphile” »

Jun 29, 2022

Futuristic All-Electric Autonomous Delivery Pods Now Available Worldwide

Posted by in categories: futurism, robotics/AI

Jun 28, 2022

McMaster says AI can help beat adversaries, overcome ‘critical challenges’

Posted by in categories: policy, robotics/AI, security, sustainability

WASHINGTON — Artificial intelligence and related digital tools can help warn of natural disasters, combat global warming and fast-track humanitarian aid, according to retired Army Lt. Gen. H.R. McMaster, a onetime Trump administration national security adviser.

It can also help preempt fights, highlight incoming attacks and expose weaknesses the world over, he said May 17 at the Nexus 22 symposium.

The U.S. must “identify aggression early to deter it,” McMaster told attendees of the daylong event focused on autonomy, AI and the defense policy that underpins it. “This applies to our inability to deter conflict in Ukraine, but also the need to deter conflict in other areas, like Taiwan. And, of course, we have to be able to respond to it quickly and to maintain situational understanding, identify patterns of adversary and enemy activity, and perhaps more importantly, to anticipate pattern breaks.”

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