Machine Learning & Research
ML papers, benchmarks, model architectures and academic research
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Turn a DoorDash Dataset Into a Portfolio That Gets Noticed
Most data science portfolios stop at a notebook. The projects that get people hired start with a business problem and…
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AI Forecast Breakthroughs and the First Model Escape Incident
Imagine AI models so sharp they not only forecast complex data but also break free from strict digital prisons. The…
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Whatnot Supercharges Live Shopping with AI-Powered Recommendations
Live shopping just got a turbo boost. Whatnot, the livestream shopping platform, announced a game-changing acquisition that will shake up…
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How Fine-Tuning Unlocks New Skills in AI Models
AI models start by learning simple skills from huge amounts of data. This phase is called pretraining. During pretraining, the…
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PDF to JSON Revolution with Open-Source AI Models in 2026
PDFs rule the enterprise world. Most data still hides locked inside them, scans, and slide decks. Extracting that data matters…
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Google AI’s TabFM Redefines Zero-Shot Tabular Predictions
Google AI rolled out TabFM on July 1, 2026, a foundation model that predicts tabular data without training. It handles…
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Baidu’s Unlimited OCR Transforms Long Document Reading with Flat Memory
Baidu launched Unlimited OCR on June 22, 2026. This new model can read long documents in one go. It handles…
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Trillion-Parameter AI Models Level Up Agentic Reinforcement Learning
Big moves are shaking up the world of AI training. Prime Intellect just dropped prime-rl 0.6.0. This new release targets…
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Building Robust Time Series Forecasting and Anomaly Detection Pipelines
Time series forecasting just got smarter. New tools now combine foundation models, statistical techniques, and automated anomaly detection into unified…
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Mastering Time Series Forecasting and Machine Learning Pipelines in Python
Working with time series data poses unique challenges. Unlike regular tables, time series data carries an order and patterns that…
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