Robust Non-Linear Observers for Lorenz-63 System with Noise

Happy to share my latest research at Quantyma! Check out the full study on the resilience of recurrent networks in high-turbulence chaotic regimes below. 👇 #DeepLearning #ChaosTheory #PhysicsInformed #MachineLearning #DynamicalSystems #QuantymaResearch #ResearchLab

🚀 What if geometry could unlock more efficient quantum computing? ⚛️ Meet QGeo—a Python package that turns abstract quantum complexity into computable geodesics, helping researchers design and analyze quantum circuits in entirely new ways. 📄 QGeo: A Python Package for Calculating Geodesic Control Functions for Quantum Computing ✍️ Sean T. Crowe et al. 🔗 https://brnw.ch/21x1SOY #QuantumTech #FutureComputing #PythonTools #QuantumPhysics #Algorithms #ScientificComputing

As researchers investigate the intricate dynamics of aging, the prospects of elucidating lifespan and the concept of immortality are increasingly within reach. Utilizing Python for data analysis enables the identification of patterns across multiple biological processes related to aging. By employing computational models and simulations, we can examine the fundamental mechanisms that contribute to senescence. These innovative methodologies not only enhance our understanding of longevity but may also inform interventions for age-related disorders. I encourage you to engage with these critical subjects and to expand your research capabilities through the use of Python. #AgingResearch #DataScience #Longevity #Senescence #ComputationalBiology

For decades, the mapping between frequency and time domains has been model-dependent. Now it isn’t. ▶️ Watch the video to see how. Let me introduce i-Rheo-Tempo — a new way to reconstruct the shear relaxation modulus, G(t), directly from frequency-domain data. No models. No fitting. No numerical quadrature. Just pure #Maths & #Physics, under the umbrella of #Rheology. The transformation is exact. The process is reversible. The loop is closed. From dynamic moduli to time-dependent response — as it is, not as we assume it to be. Rheology comes full circle. 📄 e-print: https://lnkd.in/eYjTgwxa 💻 Code (#MATLAB & #Python GUIs): https://lnkd.in/ehHP9k_V Simple once seen — invisible before. #Rheology #SoftMatter #iRheo #ScienceWithStyle #PantaRhei

🏥 HEALTHCARE SYSTEM ANALYSIS - COMPLETE 🏥 Project: Bayesian hierarchical modeling of treatment effects Duration: 19 hours computational time Status: Partial results generated KEY FINDINGS: 📊 Treatment effect: Directionally positive 📈 Credible intervals: Wide (needs more data) 🎯 Model convergence: Not achieved 💻 Computational efficiency: Needs improvement NEXT STEPS: 🔧 Refine priors ⚡ Implement variational inference 💪 Try again with better hardware Despite the challenges, we have RESULTS!  (Even if "few" means "not enough for publication... yet") #HealthcareSystem #BayesianStatistics #DataScience #Python #ResearchUpdate *progress, not perfection* 📈

⚛️ Excited to open-source qoptlib — quantum-inspired classical optimizers for Python! No quantum hardware needed. qoptlib brings quantum phenomena like tunneling and phase effects into classical optimizers — running on your everyday CPU. ⚡ What's inside (v0.1.0): → QuantumSGD — SGD with quantum noise → QuantumAdam — Adam with quantum phase → QuantumRMSprop — RMSprop with tunneling → QuantumTunneling — escape local minima naturally → Native PyTorch & TensorFlow adapters → Unified API: step(), state_dict(), get_lr()/set_lr() Install in one line: 📦 pip install qoptlib 🚧 This is just v0.1.0 — more quantum-inspired algorithms are on the way. The best is yet to come. If you work on deep learning, hyperparameter tuning, or just want your optimizer to escape local minima better — give it a try! 🔗 GitHub: https://lnkd.in/dVbmh3A8 📦 PyPI: https://lnkd.in/dZUPhbFC #Python #OpenSource #MachineLearning #Optimization #QuantumInspired #PyTorch #TensorFlow #DataScience #AI

📣 i-Rheo-Tempo is now live on arXiv 🚀 While journal reviewers do their job… the idea is already out there—don’t wait, make the most of it. 🔗 https://lnkd.in/eYjTgwxa A direct route from frequency to time — reconstructing G(t) from experimental spectra, with no models and no numerical quadrature. MATLAB and Python open-access codes are available here: 🔗 https://lnkd.in/emwt8VcG Simple once seen. Invisible before. #Rheology #SoftMatter #iRheo #ScienceWithStyle

This post examines the compelling intersection of aging and technology through the lens of Python-driven research. The study of lifespan, immortality, and the complex processes associated with aging is receiving increased attention. Researchers utilizing Python are uncovering novel insights into the physiological mechanisms underlying aging and exploring potential avenues for life extension. This innovative approach not only deepens our comprehension of aging but also paves the way for future advancements in longevity and health. We encourage professionals in the field to engage in this vital conversation and to share their findings. #AgingResearch #TechnologyInMedicine #Python #Longevity #HealthInnovation

ODSC AI East 2026 is coming up, and Hydrolix Principal TAM Dan Sullivan will be speaking on a topic that will resonate with teams building decision support for complex systems. In “Spec-Driven Simulation Modeling: Building and Validating Decision Support Models with Python and LLMs,” Dan explores why simulation modeling can be the better fit when prediction alone does not capture queues, constraints, and feedback loops. Register here: https://hubs.la/Q049YCDX0 #Hydrolix #ODSCAIEast #DataScience #MachineLearning #MLOps #SimulationModeling #Python #LLMs

⚡ Physics is Changing… Are You Ready? In today’s AI and data-driven world, physicists and engineers must go beyond theory. 📘 Python in Physics: Model, Simulate, Visualize teaches you how to: https://lnkd.in/gSBdVTKN  🔹 Model physical systems 🔹 Simulate real-world experiments 🔹 Visualize scientific data 🔹 Solve complex physics problems with Python This book is perfect for students, researchers, and professionals who want to stay ahead in modern science. 💡 Learn physics the smart way — through Python. Grab your copy now and start building the future.