Scaler

The GEAR Framework: Turning Revenue into a Precision Machine by Ted Chalouhi

GEAR: The Mental Model That Separates Scalers from Strugglers

Discover how to apply and validate clustering techniques for curating music playlists.

Music & ML: Clustering on Spotify Audio Features

Io’s volcanic and atmospheric activity drive plasma torus changes in Jupiter’s magnetosphere. Explore the factors behind its mass transfer and variability.

The Stability and Variability of Jupiter I's Plasma Torus

Secure your RAG chatbot data by controlling access before it reaches the LLM. 

Your Chatbot Might Be Leaking Secrets—Here’s How to Lock It Down

Researchers have developed a practical, efficient alternative to massive AI models for time series forecasting. 

Goodbye, Compute-Hungry Models—This Tiny AI Is the Future of Prediction

Big AI Models Are Struggling—This Tiny One Wins With 45% More Accuracy

I'm continuing my series on running the test suite for each Pull Request on Kubernetes.

GitHub Actions Meets Kubernetes: How to Test PRs on GKE Without Losing Your Mind

Anton Shchipanov, an ex-Revolut employee, is working on a healthtech startup that is already backed by some of the biggest names in the industry.

Exec Building the Spotify of Healthcare Says Only Startups That Address Real Issues Will Thrive 

Learn how to use AnyModal, a modular framework for integrating vision and language models, to build and train your own LaTeX OCR system. Perfect for AI research

AI Framework has You Covered on Image-to-Text Workflows

AI today allows for insight into climate change, agricultural optimization, improving efficiency in the energy sector, and enhancing aviation safety.

Weather Forecasting Through Machine Learning

How to achieve 2x acceleration for diffusion models on Nvidia GPUs by using TheStage AI's Python framework—as demonstrated with Recraft AI models.

Accelerating Diffusion Models with TheStage AI: 
A Case Study of Recraft's 20B and Red Panda models

Ablative study of AnimateDiff reveals how domain adapter, motion module design, and MotionLoRA improve visual quality, motion learning, and efficiency.

Ablative Study on Domain Adapter, Motion Module Design, and MotionLoRA Efficiency

Explore the training and inference process of AnimateDiff, detailing how the domain adapter, motion module, and MotionLoRA work in tandem. 

AnimateDiff in the Wild

Learn how Flighty's new machine learning-powered feature predicts flight delays and discover how you can build a similar model to forecast delays using Python.

Flighty App Can Now Predict Flight Delays: Here’s How You Can Also Do It Using Machine Learning

Discover how to use machine learning and data analytics to build your country's ultimate national football team. Learn about model training, and team evaluation

Score Big With Football Analytics: Design Your Country's Perfect National Team with Machine Learning

This article series consists of two parts. The first part aims to introduce users to the fundamental components of a time series, explaining its constituents. I

Plunging Into Data: Unraveling Time Series Patterns

The popularity of the Bitcoin ETFs with institutional investors and the calming of the Federal Reserve’s language has spurred renewed interest in cryptocurrency

Resilient Strategies for Crypto Marketing Success in 2024: Overcoming Regulations and Scandals

Explore the cutting-edge world of free cooling technology in data centers, its impact on efficiency, reliability, and environmental sustainability. 

Optimizing Data Center Efficiency: A Deep Dive into Freecooling Techniques

Explore the benefits, challenges, and industry trends shaping the future of data center cooling.

The Evolution of Data Center Cooling: From Air-Based Methods to Free Cooling

The future of AI chips is about more than NVIDIA: AMD, Intel, chiplets, upstarts, analog AI, optical computing, and AI chips designed by AI.

What Is the Future of AI Chips? Leaders, Dark Horses, and Rising Stars

Multi-class classification NN is used with the softmax activation function on its final layer together with CE loss. The final layer size = classes_number.

Multi-Class Classification: Understanding Activation and Loss Functions in Neural Networks

Robust hardware security is often overlooked (compared to software), but can be just as crucial in thwarting cyber attacks.

The Cybersecurity Battle Has Come to Hardware

In the vast landscape of data analysis and machine learning, uncovering meaningful patterns hidden within datasets is often akin to discovering buried treasures

Mastering K-Means: Data Clustering Simplified

Principal Component Analysis (PCA) is a statistical technique used for dimensionality reduction in data analysis and machine learning.

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