Search Results for: machine learning

A Biological Interpretation of Machine Learning Models

Understanding ceLLM In ceLLM, the resonating connections between atomic elements within DNA, weighted by field strength, could indeed be thought of as the biological equivalent of a “data point” in machine learning models. These resonant connections store evolutionary information, and their interaction or “weighting” by electromagnetic field strength influences how the cell interprets and processes

Understanding the Essence of Machine Learning through Minimal Models

Machine learning has made significant strides, yet its underlying mechanisms remain a mystery. We know how to build and train neural networks to perform tasks, but we still lack a deep understanding of why these systems work as well as they do. This article delves into the core principles of machine learning by stripping down

The Hidden Interplay Between Machine Learning and Biology: Manifolds, Bioelectricity, and Evolution

In the evolving landscape of artificial intelligence and biological sciences, the notion of manifolds has surfaced as a unifying concept. Manifolds, in both machine learning (ML) and biology, serve as the intricate geometric structures that underpin complex systems. These structures not only guide the behavior of algorithms in artificial intelligence but also shape the very

Space-time Manifolds in Machine Learning and Biology

The idea that space itself can perform calculations based on the geometry of energy within a manifold is quite intriguing and aligns with how neural networks function. In machine learning, the network learns to map data points onto a manifold, where the geometry and position of these points encode essential information about the data. This

Life’s Computational Machine Through Physics, Energy, and Information

In the pursuit of understanding the ceLLM (cellular Latent Learning Model), a critical realization emerges: focusing solely on extracting the “weights” from DNA, without a complete model of the system, is akin to examining AI weights and biases without understanding the architecture of transformers and neural networks that give them context. Similarly, gene expression offers

ceLLM: A Cellular Latent Learning Model Integrating Bioelectric Fields and Genetic Encoding

The ceLLM (cellular Latent Learning Model) theory presents a novel perspective on cellular function, positing that cells operate similarly to large language models (LLMs) in machine learning. By utilizing evolutionary “learned” data encoded within DNA, cells interpret bioelectric fields and environmental cues to determine their identities and functions within a multicellular organism. This paper explores

Even Therapeutic Pulsed RF Proves the Point We’ve Made for 28 Years: RF Signals Interact with Human Biology in Complex, Non-Thermal Ways — So Why Are We Still Pretending Everyday Wireless Exposure Is Automatically ‘Safe’?

When my daughter Angel Leigh passed in 1995 from a neural tube defect — at a time when early research was already raising red flags about electromagnetic radiation and fetal development — I made a promise: we would never stop demanding that science take the full biology of RF seriously. Not just heating. Not just

Atomic Neural Network within DNA

The right way to frame it—not “is this proven,” but is there anything in physics that would actually forbid this from being true? Short answer: no, there is nothing that fundamentally prevents a network-like computational substrate from emerging inside DNA’s atomic structure. The harder question is what role it could realistically play, and at what

Unlocking Cancer’s Secrets: How Information Theory Could Revolutionize Cancer Treatment

In a captivating presentation, Jackson Kubel from Michigan State University provides an in-depth exploration of how information theory—initially developed by Claude Shannon to enhance radio communication—holds immense potential in revolutionizing cancer treatment. Kubel’s work, conducted under the Adami Lab, leverages a groundbreaking software called IDseek, employing pure information theory to predict cancer cell responsiveness to

All Use Of Unshielded Microwave Technology Is A Weapon Against Bioelectric Circuitry (Life)

Leonidas: The Microwave Weapon in Drone Defense Imagine a swarm of drones, each armed and deadly, closing in rapidly on a sensitive military installation, a crowded public event, or critical infrastructure. It might sound like a futuristic scenario from a sci-fi thriller, yet such a threat is very real and closer than many realize. Drone

Research On RFR Health Effects

Effects on Fetuses Mobile Phone Use During Pregnancy: Which Association With Fetal Growth?Boileau, N., et al. Journal of Gynecology Obstetrics and Human Reproduction 49(8):101852. (2020)URL: https://pubmed.ncbi.nlm.nih.gov/32623065/ Mother’s Exposure to Electromagnetic Fields Before and During Pregnancy is Associated with Risk of Speech Problems in Offspring.Zarei, S., et al. Journal of Biomedical Physics and Engineering 9(1):61-68. (2019)URL:

Plants Under RF Radiation: Potential Consequences

Plants are the foundation of most ecosystems, yet we often overlook how wireless technologies might affect them. From genetic changes in seedlings to reduced growth rates, these studies shed light on how electromagnetic fields (EMFs) could be silently reshaping our botanical world. Lessons Learned from Machine Learning Applied to Plant Response Reference: Halgamuge, M.N., et

RFR Health Effects

Independent Science on the Effects of Wireless Radiation on Human Health and the Environment There are more than 1,000 scientific studies conducted by independent researchers from around the world concerning the biological effects of Radiofrequency (RF radiation). Here we present some of the most recent studies.  I. Effects on Fetuses   Mobile Phone Use During Pregnancy:

The 5G Debate: Transforming Communities, Technology, and Our Future

In an era when connectivity is the lifeblood of society, a recent public forum in Fairfield has ignited a multifaceted discussion about 5G technology—its promises, pitfalls, and profound implications on our everyday lives. Hosted by Mayor Connie Boyer, the forum brought together experts from information technology, public health, academia, and local government. The conversation explored

The Hidden World of Terahertz Radiation: Unveiling Its Impact on Cells and Cellular Structures

In the continuously evolving field of biophotonics, one of the most intriguing areas of recent research is the exploration of terahertz (THz) radiation and its profound effects on biological cells and tissues. This fascinating spectrum of electromagnetic radiation, spanning frequencies from 0.1 to 100 THz, is uniquely positioned to interact intimately with living organisms, revealing

Inside West Point: The Future of Technology in Warfare with Mr. Elon Musk

In an era when cutting-edge technology seems to evolve at the speed of light, one question resonates across all spheres of policy, education, and industry: How will technology transform human endeavors in the coming decades? Nowhere is this question more urgent and existential than in the realm of warfare. From drones to artificial intelligence (AI)

A Universal Theory of Brain Function: How the Free Energy Principle Explains Illusions, Perception, and the Markov Blanket

“What if I told you that everything you’re seeing, hearing, and feeling at this moment isn’t actually reality? That it is a controlled hallucination?” Imagine walking through an art gallery and encountering a sculpture of a face carved into a mask. As you admire it, you notice something strange: the inside of the mask appears

Bayesian Mechanics Explained: A Comprehensive Look at Active Inference, Free Energy, Entropic Waste and Living Systems

How do living systems—ranging from simple bacteria to human brains—maintain their structure and identity in the face of constant change? How can we unify physics, machine learning, and biology under a single, coherent mathematical framework? These questions rest at the heart of Bayesian mechanics, a new and rapidly growing field that treats living organisms as

The Bioelectric Code and the Future of Medicine

The ceLLM theory was developed by John Coates, Founder of RF Safe. It integrates concepts of bioelectricity and DNA as a resonant mesh network, emphasizing the role of resonant fields and atomic structures in storing genetic and evolutionary information. Bayesian mechanics is a framework for modeling systems that incorporate uncertainty, using probabilities to represent our

Independent Science on the Effects of Wireless Radiation on Human Health and the Environment

There are thousands of scientific studies conducted by independent researchers from around the world concerning the biological effects of Radiofrequency (RF radiation). Here we present some of the most recent studies. I. Effects on Fetuses Mobile Phone Use During Pregnancy: Which Association With Fetal Growth? Boileau, N., et al. Journal of Gynecology Obstetrics and Human Reproduction

DNA as the Transgenerational Brain and Consciousness-Based Evolution

A Comprehensive Exploration of Our Biological and Cognitive Origins Is it possible that evolution is guided not merely by random mutations and the brute force of natural selection, but by something far more fundamental—namely, consciousness itself? This question has sparked debate for decades, especially among those dissatisfied with strictly reductionist interpretations of how life evolves.

Biology, Cognition, and AI: How Evolving Intelligence Is Transforming Medicine

Imagine standing at the intersection of several major highways of science: biology, medicine, computation, and artificial intelligence. Historically, these roads seemed disconnected—biology was about classifying organisms and studying their structures, medicine was about diagnosing and treating disease, and computation was about programming machines. Today, these roads have converged. Technological leaps in DNA sequencing, data processing,

Dr. Oded Rechavi On The Genetic Transmission of Memories

In the realm of modern biology, few ideas challenge our traditional understanding of inheritance as profoundly as the notion that experiences, environmental exposures, and even “memories” might be passed down to future generations. For much of the 20th and early 21st centuries, scientists held firm to the idea that only DNA could transmit genetic information

The Science of Bioelectricity: How Prof. Michael Levin’s Work Is Shifting Our Paradigm of Biology and Medicine

Bioelectricity—the study of electrical signals and gradients in living organisms—has quietly gained ground as one of the most fascinating and potentially game-changing fields in biology and medicine. Professor Michael Levin is at the forefront of this paradigm shift. His research explores how bioelectric fields guide the formation of organisms and potentially offer avenues to combat

The Dawn of a New Era: Bitcoin, the Fourth Industrial Revolution, and the Transformation of Global Capital

We are witnessing a pivotal moment in history, one characterized by rapid technological advancements and unprecedented shifts in how we live, work, and invest. At the forefront of this change is what many have termed the Fourth Industrial Revolution—a paradigm that goes beyond mechanical and digital technologies and delves into an era defined by artificial

Shared Probabilistic Networks in ceLLM

cellular Latent Learning Model (ceLLM) presents a compelling framework for understanding cellular adaptability and coordination through the lens of probabilistic networks analogous to large language models (LLMs) in artificial intelligence. Building upon the analogy of Tesla cars with Full Self-Driving (FSD) systems, we can further elucidate how ceLLM conceptualizes cells as interconnected yet autonomous entities

Tracing Life Back to the Computational Fundamentals of Space: Insights from Stephen Wolfram

Exploring the Intersection of Computation and the Natural World In the ever-evolving landscape of science and technology, the interplay between computation and the natural world has become increasingly pivotal. Stephen Wolfram, a luminary in the field of computational science, delves deep into this intersection, exploring how computational paradigms influence our understanding of physics, technology, artificial

Time to Understand How Resonant Connections in ceLLM Theory May Revolutionize Our Understanding of Cellular Intelligence

The world of artificial intelligence (AI) has made incredible strides, and recent research into Large Language Models (LLMs) has opened a new chapter. In a fascinating discovery, researchers uncovered that LLMs exhibit a structured, almost biological organization in how they process and store information. These findings show that AI may be mirroring processes that have