Bitcoin Hyper vs Pepeto (PEPETO): Which Is The Best Crypto Presale To Buy ?

Which is the best crypto presale that gives you a real shot at 100x before the early window closes, Bitcoin Hyper or Pepeto ($PEPETO)? Two names are getting the most attention from presale hunters right now. Bitcoin Hyper, pitching itself as a Bitcoin scaling solution using Solana Virtual Machine integration, priced around $0.013 per token. … Read more

Consensus Algorithms on Manifolds: Stiefel, Siegel, and Kuramoto Dynamics

Table of Links Abstract and 1. Introduction Some recent trends in theoretical ML 2.1 Deep Learning via continuous-time controlled dynamical system 2.2 Probabilistic modeling and inference in DL 2.3 Deep Learning in non-Euclidean spaces 2.4 Physics Informed ML Kuramoto model 3.1 Kuramoto models from the geometric point of view 3.2 Hyperbolic geometry of Kuramoto ensembles … Read more

The Agentic AI Maturity Gap: Combining Orchestration, Observability, and Auditability

Three years into the generative AI era, I’ve been watching a pattern repeat with clients across sectors. The conversation usually starts the same way: they’ve got AI running somewhere in the org, often in a few places, showing some signs of Agentic behaviors. Customer service has a chatbot, product built a recommendation engine or narrative-driven … Read more

Kuramoto Models as Gradient Flows: Langevin Dynamics and Hyperbolic Geometry

Table of Links Abstract and 1. Introduction Some recent trends in theoretical ML 2.1 Deep Learning via continuous-time controlled dynamical system 2.2 Probabilistic modeling and inference in DL 2.3 Deep Learning in non-Euclidean spaces 2.4 Physics Informed ML Kuramoto model 3.1 Kuramoto models from the geometric point of view 3.2 Hyperbolic geometry of Kuramoto ensembles … Read more

Generalizing Kuramoto Models: Collective Motion on Lie Groups and Spheres in Machine Learning

Table of Links Abstract and 1. Introduction Some recent trends in theoretical ML 2.1 Deep Learning via continuous-time controlled dynamical system 2.2 Probabilistic modeling and inference in DL 2.3 Deep Learning in non-Euclidean spaces 2.4 Physics Informed ML Kuramoto model 3.1 Kuramoto models from the geometric point of view 3.2 Hyperbolic geometry of Kuramoto ensembles … Read more