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TechBuzz News
techbuzznews.com > fictionforge-architecture-of-story

FictionForge and the Architecture of Story

FictionForge and the Architecture of Story1+ min ago   (608+ words) Provo, Utah " January 21, 2026 "The hardest part of writing a novel isn't having ideas," Jensen said. "It's sustaining discipline, structure, and clarity over time. Most people don't fail creatively. They fail logistically." What distinguishes Jensen among technologists is not enthusiasm for…...

@hackernoon
hackernoon.com > how-to-use-propensity-score-matching-to-measure-down-stream-causal-impact-of-an-event

How to Use Propensity Score Matching to Measure Down Stream Causal Impact of an Event

How to Use Propensity Score Matching to Measure Down Stream Causal Impact of an Event1+ hour, 16+ min ago   (1416+ words) How to Use Propensity Score Matching to Measure Down Stream Causal Impact of an Event'Hackernoon Suppose a social media platform's Ads analytics team wants to know: Does seeing a certain ad (or promoted post) cause users to convert or engage…...

DEV Community
dev.to > david_goyes_a488f58a17a53 > coredata-crear-un-modelo-de-datos-2bmn

[CoreData] Crear un modelo de datos

[CoreData] Crear un modelo de datos2+ hour, 39+ min ago   (521+ words) En Xcode, vamos a "File" > "New" > "File from Template", buscamos "Data Model", y lo bautizamos con el nombre "CompanyModel". Asegurarse de que la extensi'n sea "xcdatamodeld" (terminado en "d"). En esencia, el archivo llamado "Core Data Model Bundle", de extensi'n…...

Quantum Zeitgeist
quantumzeitgeist.com > learning-adjoint-matching-achieves-efficient-continuous

Q-learning With Adjoint Matching Achieves Efficient Continuous-action Policy Optimisation

Q-learning With Adjoint Matching Achieves Efficient Continuous-action Policy Optimisation2+ hour, 42+ min ago   (758+ words) Researchers have developed a new artificial intelligence technique, Q-learning with Adjoint Matching, which allows machines to learn complex tasks more effectively by stabilising the process of refining their actions based on feedback. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-2026-01-21T102815.748.jpg Researchers are tackling the persistent problem of…...

BeInCrypto
beincrypto.com > emcd-beincrypto-capital-growth-webinar

EMCD and BeInCrypto Host Webinar on Growing Capital

2+ hour, 48+ min ago   (211+ words) As inflation, currency volatility, and shifting monetary policies continue to reshape how individuals approach personal finance, more people are looking beyond traditional savings tools in search of ways to preserve and grow their capital. At the same time, increased market…...

DEV Community
dev.to > habib_65f198db9ffebf864c9 > ai-learning-roadmap-for-beginners-step-by-step-guide-31a6

AI Learning Roadmap for Beginners: Step-by-Step Guide

AI Learning Roadmap for Beginners: Step-by-Step Guide2+ hour, 49+ min ago   (560+ words) Introduction The possibility of breaking into artificial intelligence in 2026 has never been easier,... Tagged with ai, machinelearning, python, beginners. #foundation-building-your-first-2-months Foundation Building: Your First 2 Months One does not have to be a mathematician to be successful in AI, but…...

Quantum Zeitgeist
quantumzeitgeist.com > videomama-achieves-accurate-video-matting

Videomama Achieves Accurate Video Matting With Dataset Of 50K Real-World Videos

Videomama Achieves Accurate Video Matting With Dataset Of 50K Real-World Videos3+ hour, 2+ min ago   (1409+ words) Researchers have created a new, large dataset of over 50,000 real-world videos and a technique to automatically generate accurate mattes , effectively separating foreground from background , using synthetic data and readily available segmentation cues, significantly improving video editing and visual effects capabilities....

NVIDIA Technical Blog
developer.nvidia.com > blog > streamlining-cub-with-a-single-call-api

Streamlining CUB with a Single-Call API

Streamlining CUB with a Single-Call API3+ hour, 19+ min ago   (802+ words) The C++ template library CUB is a go-to for high-performance GPU primitive algorithms, but its traditional "two-phase" API, which separates memory estimation from allocation, can be cumbersome. While this programming model offers flexibility, it often results in repetitive boilerplate code....

Quantum Zeitgeist
quantumzeitgeist.com > quantum-machine-learning-kernel-achieves-materials-discovery-less

Quantum Kernel Machine Learning Achieves Materials Discovery With Less Data

Quantum Kernel Machine Learning Achieves Materials Discovery With Less Data3+ hour, 24+ min ago   (1331+ words) Researchers have demonstrated that a quantum computer can identify promising new materials using fewer experimental datasets than traditional methods, potentially accelerating materials discovery. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-2026-01-21T102722.121.jpg Autonomous materials science is revolutionising materials discovery, enabling rapid exploration of vast compositional landscapes. Researchers Felix…...

Quantum Zeitgeist
quantumzeitgeist.com > classification-efficient-local-parity-based-material

Researchers Achieve Efficient Local Classification Of Parity-Based Material Topology

Researchers Achieve Efficient Local Classification Of Parity-Based Material Topology3+ hour, 41+ min ago   (851+ words) Researchers have developed a new computational framework that reliably identifies topological properties in complex, non-repeating materials , like quasicrystals , by analysing local energy patterns rather than relying on traditional methods needing symmetrical structures. https://quantumzeitgeist.com/wp-content/uploads/Image_fx-2026-01-21T102659.295.jpg Pfaffian sign reveals aperiodic topological phases Researchers…...