2025-02-17
In Tonga, All We Need Is the Political Will to Bring Technological Advancement
The future we create together, whether from within Parliament or in collaborative partnership with it, will be measured not by the titles we held, but by the transformation we enabled.
Here's Why You Should Replace Inheritance with Delegation
Replace restrictive inheritance hierarchies with flexible object delegation.
Here's How to Spot a Fake Crypto Trading Platform
Crypto trading is a legitimate practice, but it involves financial risks. There are fake crypto trading platforms, making empty promises to their victims. Legitimate platforms will try to educate you...
The TechBeat: Bitcoin Is Eerily Resembling the Financial System It Was Meant to Replace (2/17/2025)
How are you, hacker? 🪐Want to know what's trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set...
2025-02-16
‘The Hardest Working Font in Manhattan’
Extraordinary illustrated essay by Marcin Wichary, documenting a typeface — and its long, fascinating, splintered history — that exemplifies the difference between beautiful and pretty. The beauty in Gorton isn’t...
When Power Flow Models Go Off the Rails
DPFL methods vary in flexibility when selecting predictors and responses, impacting performance. Challenges like multicollinearity, zero predictors, and normalization constraints must be carefully managed for accurate power flow modeling.
Why Current Power Flow Models May Not Work in Real-World Scenarios
Current DPFL studies often rely on artificial data without noise, lack transparency in load fluctuation, and conduct limited comparative analyses. A broader, real-world-focused evaluation is needed.
How 44 Different Algorithms Compare in Power Flow Optimization
This evaluation of 44 DPFL methods explores the impact of constraints, introduces novel least squares and clustering-based approaches, and compares widely used physics-driven power flow linearization models.
New Study Reveals the Best AI Models for Power Grid Optimization
A large-scale benchmarking study of 44 DPFL methods identifies performance trends, practical limitations, and research gaps. This work supports method selection and outlines ten key future directions in DPFL.
If Life Is a Simulation, Do We Have an Exit Strategy?
This article explores Roman Yampolskiy's radical ideas on hacking reality, from AI-driven jailbreaks to rewiring human perception. Dive into the science, philosophy, and speculative methods of breaking free from a...
Ducho: A Unified Framework for Multimodal Feature Extraction in AI-Powered Recommendations
Ducho simplifies multimodal feature extraction for recommender systems with a modular architecture. Future plans include broader backend support, a unified extraction interface, and low-level feature extraction.
Ducho, the AI That Knows What You Think About That Toaster
Ducho processes textual features from Amazon’s dataset, distinguishing product descriptions from user reviews. Using multilingual BERT for sentiment analysis, it enhances recommendations by capturing nuanced customer interactions.
Making AI Recommendations Smarter with Visual, Text, and Audio Data
Ducho’s demos showcase its multimodal capabilities in fashion and music recommendation. Using deep learning models like VGG19, Xception, Sentence-BERT, and Hybrid Demucs, Ducho extracts and processes visual, textual, and audio...
Ducho’s Big Bet: A Unified Future for Multimodal AI
Ducho’s extraction pipeline automates multimodal feature processing using a YAML-based configuration and deep learning backends. To simplify deployment, Ducho offers a Docker image preloaded with CUDA and cuDNN, ensuring a...
A New Way to Extract Features for Smarter AI Recommendations
Ducho’s architecture consists of three key modules—Dataset, Extractor, and Runner—designed for efficient multimodal feature extraction. It supports TensorFlow, PyTorch, and Transformers, allowing flexible dataset processing, model selection, and YAML-based configuration...
A Unified Framework for Multimodal Feature Extraction in Recommendation Systems
Ducho is an open-source framework for extracting multimodal features in recommendation systems. It integrates TensorFlow, PyTorch, and Transformers, offering a configurable YAML-based extraction pipeline. A Docker image with CUDA support...
It is Cheaper to Grow than to Die
Staying stagnant costs more than investing in growth. Whether through steady linear progress or bold exponential leaps, investing in yourself is key to survival.
Lead Scoring 2.0: From Static Models to Dynamic Buyer Intent
Traditional lead scoring systems are based on the assumption that buyers go on a simple, linear journey. Dynamic scoring updates in real-time based on actual buyer behaviour, providing more relevant...
A DevOps Approach to AEM Packages: Automating Creation, Configuration, and More
The `create-remote-aem-pkg.sh script automates interactions with AEM’s Package Manager API, offering a structured approach to package creation, configuration, and distribution. Designed for developers and administrators, it replaces manual workflows with...
The Best ‘Saturday Night Live’ Sketches, According to the People Who Made Them
Alan Siegel at The Ringer: Ahead of ‘SNL50,’ we asked Amy Poehler, Seth Meyers, Bill Hader, and more to tell us which of their sketches they hold closest to their...
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