A non-organic intelligent system has for the first time designed, planned and executed a chemistry experiment, Carnegie Mellon University researchers report in the journal Nature (“Autonomous chemical research with large language models”).
Category: robotics/AI – Page 555
I dont know about sleep weapons, it s possible probably. More concerning to me, i read a paper 20+ years back about cell towers and cell phone frequencies as a possible tool for mind control, some way connected to frequency of human brain.
China’s military is developing advanced psychological warfare and brain-influencing weapons as part of a new warfighting strategy, according to a report on People’s Liberation Army cognitive warfare.
The report, “Warfare in the Cognitive Age: NeuroStrike and the PLA’s Advanced Psychological Weapons and Tactics,” was published earlier this month by The CCP Biothreats Initiative, a research group.
“The PLA is at the forefront of incorporating advanced technologies such as artificial intelligence, brain-computer interfaces and novel biological weapons into its military strategies,” the think tank’s analysts concluded.
The delivery of drugs to specific target tissues and cells in the brain poses a significant challenge in brain therapeutics, primarily due to limited understanding of how nanoparticle (NP) properties influence drug biodistribution and off-target organ accumulation. This study addresses the limitations of previous research by using various predictive models based on collection of large data sets of 403 data points incorporating both numerical and categorical features. Machine learning techniques and comprehensive literature data analysis were used to develop models for predicting NP delivery to the brain. Furthermore, the physicochemical properties of loaded drugs and NPs were analyzed through a systematic analysis of pharmacodynamic parameters such as plasma area under the curve. The analysis employed various linear models, with a particular emphasis on linear mixed-effect models (LMEMs) that demonstrated exceptional accuracy. The model was validated via the preparation and administration of two distinct NP formulations via the intranasal and intravenous routes. Among the various modeling approaches, LMEMs exhibited superior performance in capturing underlying patterns. Factors such as the release rate and molecular weight had a negative impact on brain targeting. The model also suggests a slightly positive impact on brain targeting when the drug is a P-glycoprotein substrate.
S41467-020–14454-2.Pdf
Posted in quantum physics, robotics/AI
The fusion of biological principles with technological innovation has resulted in significant advancements in artificial intelligence (AI) through the development of Brainoware. Developed by researchers at Indiana University, Bloomington, this innovative system leverages clusters of lab-raised brain cells to achieve elementary speech recognition and solve mathematical problems.
The crux of this technological leap lies in the cultivation of specialized stem cells that mature into neurons—the fundamental units of the brain. While a typical human brain comprises a staggering 86 billion neurons interconnected extensively, the team managed to engineer a minute organoid, merely a nanometer wide. This tiny but powerful structure was connected to a circuit board through an array of electrodes, allowing machine-learning algorithms to decode responses from the brain tissue.
Termed Brainoware, this amalgamation of biological neurons and computational circuits exhibited remarkable capabilities after a brief training period. It was discerned between eight subjects based on their diverse pronunciation of vowels with an accuracy rate of 78%. Impressively, Brainoware outperformed artificial networks in predicting the Henon map, a complex mathematical construct within chaotic dynamics.
To advance our overall understanding and discover principles of mechanical intelligence in limbless locomotion and to understand the potential role of bilateral actuation specifically in mechanical control, we took a comparative biological and robophysical approach using two complementary models: a biological model, the nematode C. elegans, and a robophysical model, a limbless robot incorporating a bilateral actuation scheme that permits programmable, dynamic, and quantifiable body compliance (Fig. 1B). This compliance governs the passive body-environment interactions in the horizontal plane that allow mechanical intelligence. Because separating neural and mechanical aspects of control is challenging in a freely locomoting living system, we used the robot as a model (22, 24, 49, 50) that then allowed mechanical intelligence to be isolated from active controls and to be systematically tuned and tested.
Using comparisons between the kinematics and locomotor performance of our biological and robophysical models, we show that mechanical intelligence alone is sufficient for an open-loop limbless robot to reproduce locomotory behavior of nematodes. Mechanical intelligence simplifies controls in terrestrial limbless locomotion by taking advantage of passive body-environment interactions that enable heterogeneity negotiation, thereby stabilizing locomotion. Further, we show that a simple active behavior inspired by nematodes takes advantage of mechanical intelligence to enhance locomotion performance even further. Our method and results not only provide insight into the functional mechanism of mechanical intelligence in organismal limbless locomotion but also provide an alternative paradigm for limbless robot development that simplifies control in complex environments.
Signal processing is key to communications and video image processing for astronomy, medical diagnosis, autonomous driving, big data and AI. Menxi Tan and colleagues report a photonic processor operating at 17Tb/s for ultrafast robotic vision and machine learning.
For its latest Hyperspace Challenge accelerator, the U.S. Space Force selected three startups specializing in satellite propulsion, picks reflecting the military’s growing interest in nimble satellites that can maneuver to outplay adversaries.
This marks a shift for the Pentagon, which traditionally has launched satellites into orbit and restricted their movements to conserve fuel. But with rivals fielding maneuverable spacecraft, U.S. officials are calling for a shift to “dynamic space operations,” enabled by autonomous refueling and other in-orbit services.
“Having the ability to refuel would really open new possibilities,” said John Plumb, assistant secretary of defense for space policy. He said the Pentagon is encouraged to see commercial companies developing technologies for in-orbit logistics that also have significant utility for the military.
OpenAI has mitigated a data exfiltration bug in ChatGPT that could potentially leak conversation details to an external URL.
According to the researcher who discovered the flaw, the mitigation isn’t perfect, so attackers can still exploit it under certain conditions.
Also, the safety checks are yet to be implemented in the iOS mobile app for ChatGPT, so the risk on that platform remains unaddressed.
Researchers from Cornell and Brown University have developed a souped-up telepresence robot that responds automatically and in real-time to a remote user’s movements and gestures made in virtual reality.
The robotic system, called VRoxy, allows a remote user in a small space, like an office, to collaborate via VR with teammates in a much larger space. VRoxy represents the latest in remote, robotic embodiment from researchers in the Cornell Ann S. Bowers College of Computing and Information Science.