⏱️ Time Series Analysis - gautam6599123 · Scour

Retrieval Augmented Time Series Forecasting 🗣️Large Language Models

arxiv.org·2d

How AI is Transforming Demand Planning in Modern Supply Chains (From Forecasting to Execution) 🎯Optimization Theory

hackernoon.com·4d

Anomalisa: Zero config anomaly detection with Welford's algorithm and a KV store 🗣️Large Language Models

anomalisa.uriva.deno.net·1d·Hacker News

Anomaly detection with nothing but Welford's algorithm and a KV store ∂Automatic Differentiation

uriv.me·4d·Hacker News, r/programming

rajivsam/tseda: tool for exploring regularly sampled time series data 📊Data Science

github.com·7h·Hacker News

Elon Musk Announces Terafab 🌐Distributed Systems

lesswrong.com·3d

How HN: $2/Day AI – How we run an autonomous agent on a hard budget 🗣️Large Language Models

veltrixcollective.com·16h·Hacker News

How HN: We were wrong about AI capability floors (and why smart triggers matter) 🗣️Large Language Models

zenodo.org·14h·Hacker News

GLM-5.1: Towards Long-Horizon Tasks 📈Statistical Learning

z.ai·2d·Hacker News

Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks ∂Automatic Differentiation

arxiv.org·12h

Financial forecasting with local storage and E2EE 📈Data Visualization

wealthcurve.app·1h·Hacker News

Moving Averages 📊Data Science

gregorygundersen.com·2d·Hacker News

Issue 646 🗣️Large Language Models

datascienceweekly.substack.com·20h·Substack

Labor Automation Tournament — $35,000 in prizes, hub launching April 20 🤖AI

lesswrong.com·3d

Predict and Profit, automated Kalshi bots for weather and CPI/PCE 🗣️Large Language Models

predictandprofit.io·2d·Hacker News

Auto-Configured Networks for Multi-Scale Multi-Output Time-Series Forecasting ∂Automatic Differentiation

arxiv.org·12h

How to Generate Text in One Step ∂Automatic Differentiation

one-step-lm.github.io·2d·Hacker News

Show HN: A small neural net asks if physical law is inevitable for any observer ∂Automatic Differentiation

news.ycombinator.com·2d·Hacker News

DSPR: Dual-Stream Physics-Residual Networks for Trustworthy Industrial Time Series Forecasting ∂Automatic Differentiation

arxiv.org·12h

Kalman and Bayes average grades 🎲Probability Theory

johndcook.com·6d·Hacker News

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