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A spatiotemporal model of firearm ownership in the United States

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.

Industrial Robots, Workers’ Safety, and Health☆

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.

Scientists Claim to Improve Human Brain Function With Implants and 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.”

The Creation of the Humanoids

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…

Enjoy wink

No, it’s not Sentient — Computerphile

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.

This video was filmed and edited by Sean Riley.

Computer Science at the University of Nottingham: https://bit.ly/nottscomputer.

Computerphile is a sister project to Brady Haran’s Numberphile. More at http://www.bradyharan.com

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

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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