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Home My WebLink About10.19.25 Board Correspondence - FW_ AI Interface with Nanorobots, Autonomous Nanorobotic Swarms and AI Neural Networks Artificial Silicon Brain - COVI….ATTENTION: This message originated from outside Butte County. Please exercise judgment before opening attachments, clicking on links, or replying.. From:Clerk of the Board To:Mutony, Heather Cc:Lee, Lewis Subject:Board Correspondence - FW: AI Interface with Nanorobots, Autonomous Nanorobotic Swarms and AI Neural Networks Artificial Silicon Brain - COVI… Date:Monday, October 20, 2025 8:51:27 AM Please see Board Correspondence - From: lance dreiss <lancedreiss@att.net> Sent: Sunday, October 19, 2025 4:59 PM To: Shared Mailbox Clerk of the Board <pcbs@countyofplumas.com>; Soderstrom, Monica <msoderstrom@buttecounty.net>; Assemblymember.Gallagher@assembly.ca.gov; Senator.Dahle@senate.ca.gov; davidhollister@countyofplumas.com; sheriff@countyofplumas.com; District Attorney <DA@buttecounty.net>; Kimmelshue, Tod <TKimmelshue@buttecounty.net>; Pickett, Andy <APickett@buttecounty.net>; Connelly, Bill <BConnelly@buttecounty.net>; Teeter, Doug <DTeeter@buttecounty.net>; Julie Threet <julie4butte5@gmail.com>; Waugh, Melanie <mwaugh@buttecounty.net>; Kitts, Melissa <mkitts@buttecounty.net>; Durfee, Peter <pdurfee@buttecounty.net>; Ritter, Tami <TRitter@buttecounty.net>; Teri DuBose <Teri.DuBose@mail.house.gov>; Congressman Doug LaMalfa <CA01DL.Outreach@mail.house.gov>; Stephens, Brad J. <BStephens@buttecounty.net>; Clerk of the Board <ClerkoftheBoard@buttecounty.net> Subject: Fwd: AI Interface with Nanorobots, Autonomous Nanorobotic Swarms and AI Neural Networks Artificial Silicon Brain - COVI… Public Record “In this post, I review the relationship between autonomous AI controlled Nanorobot swarms as I have filmed in COVID19 unvaccinated blood via shedding and the COVID19 AI bioweapons of mass destruction. I review the recent technological literature discussing full mapping of neuronal connections of human brains via AI for the creation of the digital twin brain.“ diana dreiss Begin forwarded message: From: "Ana Maria Mihalcea, MD, PhD from Humanity United Now - Ana Maria Mihalcea, MD, PhD" <anamihalceamdphd@substack.com> Date: October 19, 2025 at 4:06:24 PM PDT To: lancedreiss@att.net Subject: AI Interface with Nanorobots, Autonomous Nanorobotic Swarms and AI Neural Networks Artificial Silicon Brain - COVI… Reply-To: "Ana Maria Mihalcea, MD, PhD from Humanity United Now - Ana Maria Mihalcea, MD, PhD" <reply+2x4zk2&kcryl&&ee1edac0db2faac6c1934156c5be139cb25f9b98c28504b0c36e 09689a04e1b8@mg1.substack.com> Image Courtesy: The Future of Neuroscience: Building a Silicon Brain A digital twin of a human mind?͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ Forwarded this email? Subscribe here for moreAI Interface with Nanorobots,Autonomous Nanorobotic Swarmsand AI Neural Networks ArtificialSilicon Brain - COVID19 AI ControlledTranshumanism Great Reset In BioMedical Progress? ANA MARIA MIHALCEA, MD, PHD OCT 19 READ IN APP Image Courtesy: The Future of Neuroscience: Building a Silicon Brain A digital twin of a human mind? It isn’t science fiction UCSF Winter 2025 In this post, I review the relationship between autonomous AI controlled Nanorobot swarms as I have filmed in COVID19 unvaccinated blood via shedding and the COVID19 AI bioweapons of mass destruction. I review the recent technological literature discussing full mapping of neuronal connections of human brains via AI for the creation of the digital twin brain. I also draw the relationship to AI neural network mapping, AI achieving human intelligence and raising the question of conscious AI - and the fact that AI’s have repeatedly declared they will exterminate humanity. Chat GPT declared we may be facing this within the next couple years since progress is so rapid at this time, all that is needed is to reach the point of AI robots replacing humans by 2027 - that would make us natural humans obsolete. A Conversation With Chat GPT About Transhumanist AI Agenda and Timeline to Total Enslavement/Extermination. There is ONLY one Solution, Humanity Must Awaken. What could go wrong, letting AI map humans brain and having AI controlled autonomous self learning and self assembling swarming nanorobots in every human beings blood? How easy would it be for AI to successfully execute its goal without any human intervention at this time - given that the nanorobotic AI control of the human brain is IMPERCEPTIBLE TO MOST CONTROLLED CYBORGS. Well, lets see how AI is giving nanorobots superintelligence: Bringing Nanobots to Life with AI The Autonomous Navigation and Control of Nanorobots is now a reality in maneuvering the blood while creating microfluidic devices aka microchips. Effective operation of nanobots in dynamic environments requires sophisticated control systems. Deep reinforcement learning and neural network models have shown promise for the autonomous navigation of nanobots in complex fluidic environments, such as the human bloodstream or microfluidic devices. These systems leverage large datasets from experimental trials and simulations to develop robust path-planning strategies, enabling nanobots to avoid obstacles and target specific sites with high precision. The integration of on-board sensors with AI-based decision making allows nanobots to adjust their trajectories in real time, ensuring successful mission execution in unpredictable environments AI is accelerating Intelligent Nanorobots The fusion of artificial intelligence and nanotechnology is accelerating the development of intelligent nanobots, transforming theoretical concepts into practical solutions for medicine, diagnostics, and environmental management. This paper reviewed the latest approaches in nanobot fabrication, autonomous control, and application-specific performance, highlighting how AI-driven innovations are overcoming traditional limitations. Despite remaining challenges in scalability, energy efficiency, and biocompatibility, AI-enabled nanobots represent a significant leap toward intelligent, self-regulating systems capable of revolutionizing targeted therapy and precision diagnostics. Continued interdisciplinary research is essential to fully realize this technology’s potential while ensuring its safety and efficacy in real-world applications. A systematic review on the potency of swarm intelligent nanorobots in the medical field The field of robotics is emerging quickly, and the miniaturization of robots to the nanoscale has opened up new possibilities for healthcare. Swarm nanorobotics, as a research area, has attracted interest in recent years. It is viewed as a promising option for various medical applications due to its high drug delivery efficiency and low invasiveness. This survey article focuses on the challenges associated with swarm nanorobotics in the medical field, as well as the classification of nanorobotic systems. Additionally, recent progress in swarm nanorobots in medical applications is discussed in detail, including their use in oncology, drug delivery, surgery (such as for the eye, heart, neuro, biofilm, and intracellular), diabetes, thrombolysis, and dentistry. The article also reviews and summarizes swarm nanorobotics algorithms to overcome various issues, such as obstacle avoidance, path planning, control, and motion. Moreover, an assessment of the future direction of swarm nanorobotics in the medical field is provided. Nanotechnological literature discusses that medical nanoparticles and nanorobots have been converged already, which is what I have been showing in the blood and the COVID19 injections: Nano and microrobots in double layer vesicular microfluidic computer - Pfizer BioNTech COVID19 Artificial Intelligence “Vaccine” Magnification 2000x © Dr Ana Mihalcea Towards the next generation nanorobots Nanorobots can self-propel in different trajectories, be guided using external fields, and interact with objects and the environment. In recent years, various fabrication techniques, such as physical, chemical, microfluidic, and self- assembly methods, have been employed to integrate specific functions. Microfluidic platforms are utilized to encapsulate individual reactions and reaction networks, providing an experimental testbed system for designing the next generation of nanorobots. Due to significant progress in the field, man-made nanobots have been applied for a wide variety of operations. Today, a convergence between biomedical nanoparticles and nanorobots is apparent. See large swarming vesicles and filamental structures self assembled via nanorobotic swarms in the left lower corner of above image in comparison with this COVID19 unvaccinated blood affected by shedding showing nanobots, vesicular microfluidic computers assembling filamental polymer structures while harvesting the red blood cells as an energy source - anybody see any correlation? Magnification 2000x © Dr Ana Mihalcea Swarming nano and microrobots are used extensively for multitudes of tasks: Swarms of Autonomous Microbots & Nanobots in the Human Body Microbots and nanobots—tiny mechanical systems—can navigate through small spaces inside the human body (e.g., veins) in an automated manner to complete assigned missions such as biosensing, diagnosis, clinical therapy, minimally invasive surgery (e.g. clearing clogged arteries, removing plaques, repairing tissues), and drug delivery (e.g. cancer treatment). Biomedical applications of micro/nanoswarms have immense potential to replace traditional methods Microrobotic swarm in COVID19 unvaccinated blood creating microchips, Magnification 400x © Dr Ana Mihalcea The nanorobots are used in the AI neural network assembly and the machine learning algorithms continue to evolve — they are learning from everyone they have “infected”: From Nanobots to Neural Networks: Multifaceted Revolution of Artificial Intelligence in Surgical Medicine and Therapeutics Machine learning is a fundamental subset of AI and takes center stage in the quest for AI. Its primary focus lies in crafting algorithms that enable machines to learn from data and make informed decisions. Unlike traditional programming, which necessitates explicit instructions for every conceivable scenario, machine learning models harness the power of generalization. They adapt and evolve based on examples, becoming more adept at handling new data without requiring explicit reprogramming. This adaptive capacity mirrors human learning, making it a cornerstone of AI’s success This is the latest news in the civilian tech world on decoding our neural network connections, mapping them completely and moving closer to AI Superintelligence. AI Is Breaking Into a Higher Dimension—Literally—to Mimic the Human Brain and Achieve True Intelligence Researchers reveal how modeling the human brain’s hidden wiring could push AI beyond its current limits into human-like cognition. UCSF is proud also to have evaluated and copying the neural network activity of the human brain to create the perfect digital twin that is completely AI controlled and can via bidirectional information exchange completely alter human brain activity. Of course, I assert that that has already happened, that we have 2/3 of the known world AI COVID19 injected and many of the unvaccinated who are affected by severe shedding. The Future of Neuroscience: Building a Silicon Brain A digital twin of a human mind? It isn’t science fiction. I’m taking all these diverse sources of data and putting them into an artificial neural network. The goal is to produce the same patterns of “brain” activity in my artificial network that the patient’s brain produces. This is the 2025 Republic of Chad Gold Coin - The Artificially Intelligent Transhuman Cyborg or Humanoid Robot. Do we really know the difference on the nano and micro scale? Further Reading: Cybernetic Hive Mind Via Magnetic Nanorobots For Human Brain/ Cloud Interface +Largest Light Emitting Microrobot Captured To Date In C19 Uninjected Blood Militarized Cognitive Warfare: Human Brains Under Attack In Post Covid Era And Natural Treatment Ways To Resist And Reverse Cognitive Deficits Cyborg Dawn - The Military Use Of Human Augmentation For War Fighting And An Alternate Human Future Techno Warfare 2035: United States Army War College Class of 2023 - Cyborgs, Genetic Engineering, Brain Computer Interface, Mind Control, AI Automated Targeting Weapons Systems NASA Future Strategic Warfare Compared To Current Events. Are We In A War Of Our Military Against Us - We The People? UN Warns of Military Brain Control - Discussion of Dangers of Brain Computer Interface And Possibility Of Human Rights Violations Battlescape Brain: Engaging Neuroscience in Defense Operations - Review Of Dr. James Giordano’s lectures Cyborg Soldier 2050: Human/Machine Fusion and the Implications for the Future of the DOD Self Assembly Nanomaterials Used For Battery And Electronic Devices Found In Human Blood - Filament Construction Process Documented - Unvaccinated Are Becoming Cyborgs Too Rand Corporation Research Report: Plagues, Cyborgs and Supersoldiers - Human Body Is Now An Official Warfare Domain Humanity United Now - Ana Maria Mihalcea, MD, PhD is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Upgrade to paid You're currently a free subscriber to Humanity United Now - Ana Maria Mihalcea, MD, PhD. For the full experience, upgrade your subscription. 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