quantumzeitgeist

Photonic quantum priors achieve low error rates on chaotic flow models

This research demonstrates a photonic quantum approach to modeling chaotic fluid dynamics, achieving low error rates with ...
The Cryptonomist

Multi-reward reinforcement learning steadies language model training with two signals

Multi-reward reinforcement learning improves large language model training stability by combining internal feedback and ...
eLife

Dual reinforcement-learning network modules for modeling decision-making with multiple strategies

Laboratory of Neural Computation, Institute for Quantitative Biosciences, the University of Tokyo, Tokyo, Japan Department of Life Sciences, Graduate School of Arts and Sciences, the University of ...
GitHub

TDA_Faddeev_Parquet.md

Scope and checks This implements the static complete-TDA Faddeev model with selectable ADC (2) or ADC (3) endpoints. Identity with the full parquet Schwinger-Dyson self-energy has not been established ...
GitHub

Awesome 3D Gaussian Splatting (3DGS) — Frontier Research Database

Foundations & Acceleration 39 Core 3DGS theory, fast rasterizers, anti-aliasing, level-of-detail, and CUDA rendering pipelines. Dynamic & 4DGS 27 4D Gaussian Splatting, dynamic scene reconstruction, ...
energiesmedia

An AI model learned to “feel” the wind around turbines and solar panels faster than any supercomputer ever could

Placing a wind turbine in rugged terrain sounds simple enough — until you need to know exactly how air accelerates over a ...
SanDiegoRed

Mexico and Baja California Deliver Regularization Land Deal to Ejido Rojo Gómez

Federal and state authorities signed a regularization agreement, resolving decades of land tenure uncertainty for Ejido Rojo Gómez.
hungarianconservativeOpinion

French Socialists Push Bill to Legalize 300,000 Illegal Migrants

French Socialists are pushing to legalize an estimated 300,000 illegal migrant workers, embracing Pedro Sánchez’s mass ...
Science

Hyperlocal sensing and inverse modeling reveal community impacts of urban air pollutant emissions

Addressing urban air pollution requires identifying, quantifying, and mitigating emission sources, yet bottom-up inventories ...
BIOENGINEER

IoT Sensors and Hybrid Machine Learning Model Predict Solar Panel Faults Before They Strike

Researchers combined a low-cost IoT monitoring prototype with a Bayesian-optimized XGBoost model that achieved the highest ...
energiesmedia

A new AI model learned the rules of wind so well it can “see” around turbines and hillsides in seconds instead of hours

Siting a wind farm or estimating structural loads on a solar array means running detailed fluid simulations — sometimes ...