AI Research & Development

MLtechniques.com is a research lab developing innovative technology about deterministic, no-Blackbox, explainable Enterprise AI, alternatives to deep neural networks, high-performance computing methods, and the new generation of mathematical engineering. 

xLLM – NextGen AI developed for BondingAI.io

Newsletter Subscription

Sign up to our free monthly newsletter at the bottom of this page. It comes with a 20% discount code applicable to all our books. You can unsubscribe at any time. The monthly newsletter features new blog posts and other resources regularly posted on our website. See our privacy policy here. 

AI & Math Books

  1. No-Blackbox, Secure, Efficient AI and xLLM Solutions
  2. Breakthroughs on the Digit Distribution of Classic Constants
  3. Building Disruptive AI & LLM Technology from Scratch 
  4. State of the Art in GenAI & LLMs — Creative Projects, with Solutions
  5. Statistical Optimization for Generative AI and Machine Learning
  6. Gentle Introduction To Chaotic Dynamical Systems
  7. Synthetic Data and Generative AI
  8. Intuitive Machine Learning and Explainable AI
  9. Stochastic Processes and Simulations

Free Technical Articles

To subscribe (free), sign-up to our newsletter at the bottom of this page. Membership also gives you a 20% discount on all our books. Articles or books flagged with †† require authorization to obtain the full PDF. Contact the author for details.

  1. No-Blackbox DNN Alternative with 96% Correct Prediction for Next Token on Corporate Corpus.
    Read Summary. April 2026. ††
  2. Automated Processing of Electrocardiogram Data with xLLM AI Agent.
    Download PDF | Read Summary. April 2026. 
  3. A New Perspective on the Roots of Random Polynomials.
    Download PDF | Read summary. April 2026. 
  4. Quantum, chaotic and fractal types of algorithmic convergence.
    Download PDF     | Read summary. April 2026. 
  5. Random Correlated Bit Strings: Seminal Result with Applications.
    Download PDF | Read summary. March 2026. 
  6. Random Numbers: Test of Normality with Fast, Simplified Version of Weyl’s Criterion.
    Download PDF | Read summary. March 2026.
  7. Number Theory: Breakthrough on the Digit Distribution of Classic Constants.
    Download PDF | Read summary. March 2026.
  8. Short Introduction to Signal Processing and Convolution.
    Download PDF | Read summary. February 2026.
  9. Simple Normality Test with Application to Random Number Generation
    Download PDF | Read summary. January 2026. 
  10. Cybersecurity Use Case: AI Agent for Anomaly Detection.
    Download PDF | Read summary. December 2025. 
  11. Watermarking and Forensics for AI Models, Data, and Deep Neural Networks. ††
    Read summary. October 2025.
  12. How Synthetic Primes Reveal the Quantum States in the Riemann Hypothesis.
    Download PDF | Read summary. September 2025. 
  13. A New Type of Non-Standard High Performance DNN with Remarkable Stability. 
    Download PDF | Read summary. May 2025.
  14. Quantum Dynamics, Logistic Map, and Digit Distribution of Special Math Constants.
    Download PDF | Read summary. May 2025. 
  15. A Universal Dataset to Test, Enhance and Benchmark AI Algorithms.
    Download PDF | Read summary. April 2025. 
  16. LLM Challenge with Petabytes of Data to Prove Famous Number Theory Conjecture.
    Download PDF | Read summary. March 2025. 
  17. Piercing the Deepest Mathematical Mystery.
    Download PDF | Read summary. February 2025. 
  18. Blueprint: Next-Gen Enterprise RAG & LLM 2.0 – Nvidia PDFs Use Case. ††
    Access document. January 2025. 
  19. How the Brain Estimates Distances, Heights and Velocities, with Computer Vision Applications.
    Download PDF | Read summary. December 2024. 
  20. LLM Deep Contextual Retrieval and Multi-Index Chunking: Nvidia PDFs, Case Study.
    Download PDF | Read summary. November 2024. 
  21. Visualizing Trading Strategies that Consistently Outperform the Stock Market.
    Download PDF | Read summary. October 204. 
  22. Building a Ranking System to Enhance Prompt Results.
    Download PDF | Read summary. October 2024.
  23. Hyperfast Contextual Custom LLM with Agents, Multitokens, Explainable AI, and Distillation.
    Download PDF | Read summary. September 2024. 
  24. Fast Random Generators with Infinite Period for Large-Scale Reproducible AI and Cryptography.
    Download PDF | Read summary. August 2024. 
  25. Custom Enterprise LLM/RAG with Real-Time Fine-Tuning.
    Download PDF | Read summary. July 2024. 
  26. Synthesizing Multi-Table Databases: Model Evaluation & Vendor Comparison.
    Download PDF | Read summary. June 2024. 
  27. GenAI Evaluation Metrics: Your Best Loss Functions to Boost Quality.
    Read summary and download PDF. May 2024.  
  28. Breakthrough: Zero-Weight LLM for Accurate Predictions and High-Performance Clustering.
    Read summary and download PDF. May 2024.
  29. Build and Evaluate High Performance Taxonomy-Based LLMs From Scratch.
    Read summary and download PDF. April 2024.
  30. Hallucination-Free, Self-Tuned, Fast Hierarchical LLMs with Multi-Token Embeddings
    Read summary and download PDF. April 2024.
  31. Extreme LLM: Case Study, Documentation, Best Practices, and Python sources
    Read summary and download PDF. March 2024.
  32. Probabilistic Nearest Neighbor Search: The Swiss Army Knife of GenAI
    Download PDF | Read summary. February 2024.
  33. New GenAI Evaluation Metrics, Ultrafast Search, and Perfect Randomness
    Download PDF | Read summary. January 2024.
  34. Genome: Synthesizing DNA Sequences with LLM Techniques
    Download PDF | Read summary. November 2023.
  35. Sampling Outside the Observation Range with Quantile Convolution
    Download PDF | Read summary. November 2023.
  36. Quantum derivatives, GenAI, and the Riemann Hypothesis
    Download PDF | Read summary. November 2023.
  37. GenAI: Fast Data Synthetization with Distribution-free Hierarchical Bayesian Models 
    Download PDF | Read summary. September 2023. 
  38. Generative AI: How to Fix a Failing GAN Data Synthesizer 
    Download PDF | Read summary. August 2023. 
  39. GenAI Break-through: Spectacular Performance of NoGAN Data Synthesizer 
    Download PDF | Read summary. August 2023. 
  40. Synthesizing Geospatial Data with A Simple NoGAN Technique 
    Download PDF | Read summary. July 2023. 
  41. Sound Generation in Python: Turning Your Data into Music
    Download PDF | Read summary. July 2023.
  42. Generative AI: Synthetic Data Vendor Comparison and Benchmarking Best Practices
    Download PDF | Read summary. June 2023.
  43. A Synthetic Stock Exchange Played with Real Money
    Download PDF | Read summary. May 2023.
  44. Generating and Videolizing Agglomerative Processes 
    Download PDF | Read summary. April 2023. 
  45. Massively Speed-Up your Learning Algorithm, with Stochastic Thinning 
    Download PDF | Read summary. April 2023. 
  46. Smart Grid Search for Hyperparameter Tuning 
    Download PDF | Read summary. March 2023. 
  47. Feature Clustering: A Simple Solution to Many Machine Learning Problems 
    Download PDF | Read summary. March 2023.
  48. Data Synthetization: enhanced GANs vs Copulas 
    Download PDF | Read summary. March 2023. 
  49. Introduction to Discrete Chaotic Dynamical Systems 
    Download PDF | Read summary. February 2023. 
  50. Random Walks, Brownian Motions, and Related Stochastic Processes 
    Download PDF | Read summary. February 2023. 
  51. Math-free, Parameter-free Gradient Descent in Python 
    Download PDF | Read summary. January 2023. 
  52. New Interpolation Method for Data Synthetization and Prediction 
    Download PDF | Read summary. January 2023. 
  53. Military-grade Fast Random Number Generator Based on Quadratic Irrationals
    Download PDF | Read summary. December 2022.
  54. Empirical Optimization with Divergent Fixed-Point Algorithm – When All Else Fails
    Download PDF | Read summary. December 2022.
  55. Spectacular Videos: Synthetic Universes, with Star Collision Graph 
    Download PDF | Read summary. November 2022. 
  56. Dynamic Clouds and Landscape Generation: Morphing and Evolutionary Processes 
    Download PDF | Read summary. November 2022. 
  57. Advanced Machine Learning with Basic Excel — Simple Alternative to XGBoost 
    Download PDF | Read summary. September 2022. 
  58. Machine Learning Cloud Regression: The Swiss Army Knife of Optimization
    Download PDF | Read summary. August 2022. 
  59. Weird Random Walks: Synthetizing, Testing and Leveraging Quasi-randomness 
    Download PDF | Read summary. August 2022. 
  60. Detecting Subtle Departures from Randomness 
    Download PDF | Read summary. July 2022.
  61. Classification and Clustering via Image Convolution Filters — Alternative to Generative Mixture Models 
    Download PDF | Read summary. June 2022. 
  62. The Art of Visualizing High Dimensional Data 
    Download PDF | Read summary. June 2022. 
  63. Gentle Introduction to Linear Algebra, with Spectacular Applications 
    Download PDF | Read summary. June 2022. 
  64. Interpretable Machine Learning: Multipurpose, Model-free, Math-free Fuzzy Regression 
    Download PDF | Read summary. May 2022. 
  65. Classification of Shapes via Explainable AI
    Download PDF | Read summary. April 2022. 
  66. Interpretable Machine Learning on Synthetic Data, and Little-Known Secrets About Linear Regression 
    Download PDF | Read summary. May 2022. 
  67. New Perspective on the Riemann Hypothesis
    Download PDF | Read summary. July 2022. 
Powered by WP Newspaper by WP Mag Plus