Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

So yeah, I vibe-coded a log colorizer—and I feel good about it

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...
Facebook on MSN

Pastel clown!

A stunning pastel clown ball python showing off its beautiful colors.

AI model forecasts coral heat stress on Florida reefs up to six weeks ahead

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...

Here's how Google Home gets the data for its weather forecast

For Google Home, WeatherNext 2 provides hourly and daily forecasts, along with MetNet and other models, according to Google.
IEEE

Enhanced sales forecasting of perishable and non- perishable goods using weather data with insights on Imports and price sensitivity

Abstract: In the competitive restaurant industry, success hinges on accurate demand forecasting and optimal pricing strategies. Weather factors such as temperature, rain, and seasonal changes ...
GitHub

[PUT ICML 2025] Accurate Parameter-Efficient Test-Time Adaptation for Time Series Forecasting

Real-world time series often exhibit a non-stationary nature, degrading the performance of pre-trained forecasting models. Test-Time Adaptation (TTA) addresses this by adjusting models during ...
GitHub

Global Horizontal Irradiance Forecasting

Abstract: This research aims to develop an accurate and efficient deep learning approach for forecasting Global Horizontal Irradiance (GHI) to facilitate better integration of solar energy into ...
IEEE

A Transferable Framework of PV Power Forecasting for Cross-Regional Distributed PV Systems Using Domain Adversarial Temporal Network

Abstract: The lack of meteorological forecast data has increased the inaccuracy of output power forecasting in distributed photovoltaic systems. Especially, for newly built distributed sites across ...