8 results for "base network"
Generative Design of a Gas Turbine Combustor Using Invertible Neural Networks
The need to burn 100% H2 in high efficient gas turbines featuring low NOx combustion in premix mode require the complete redesign of the combustion system to ensure stable operation without any flashb…
NeSyCat: A Monad-Based Categorical Semantics of the Neurosymbolic ULLER Framework
ULLER (Unified Language for LEarning and Reasoning) offers a unified first-order logic (FOL) syntax, enabling its knowledge bases to be used directly across a wide range of neurosymbolic systems. The …
How would you price a usage-based backend for a VPN-like SaaS? (Pay-per-GB vs subscription)
I’ve been working on infrastructure for a networking-heavy SaaS over the past couple of years, and I’ve hit an interesting question around pricing. The system is fairly resource-driven (bandwidth, act…
Ideavalu – AI generates startup ideas based on your esperience
Just enter your skills, network, and capital, and our AI proposes 3 business ideas scored on market potential, feasibility, and profitability. Start for free.…
Nvidia: Dominating By Strategy Focused On AI Inflections
Nvidia is successfully diversifying its customer base as well as its data center business thanks to the solid networking sales. Click to read why NVDA is a Buy.…
Do Transaction-Level and Actor-Level AML Queues Agree? An Empirical Evaluation of Granularity Effects on the Elliptic++ Graph
Graph-based anti-money laundering (AML) systems on blockchain networks can score suspicious activity at two granularity levels -- transactions or actor addresses -- yet compliance action is conducted …
Causal Discovery as Dialectical Aggregation: A Quantitative Argumentation Framework
Constraint-based causal discovery is brittle in finite-sample regimes because erroneous conditional-independence (CI) decisions can cascade into substantial structural errors. We propose Quantitative …
ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems
Despite a century of empirical memory research, existing AI agent memory systems rely on system-engineering metaphors (virtual-memory paging, flat LLM storage, Zettelkasten notes), none integrating pr…