Tomorrow.io uses satellites, customer data, and agentic AI to help companies and cities act before severe weather hits.

Bloomberg has released a new product aimed specifically at the quant community. Quants and python proficient employees can ...

The areas most at risk of flooding included southern Louisiana, southern Mississippi and parts of Alabama, Mr. Bonn said.

Platforms like Kalshi let millions wager on sports and pop culture. They’re now hoping institutions will use them for big-ticket trading like hedging. By Michael J. de la Merced Most people use ...

Across Africa, a new generation of policy oriented technologists is beginning to redefine the relationship between governance, economic development, clean energy transition, and Artificial ...

Can you use your firearm while competing in the Florida Python Challenge? Here's what to know before it begins.

Prediction markets allow participants to trade on the outcome of future events. Prediction markets are gaining popularity and ...

Artificial intelligence models, like Google DeepMind, are revolutionizing hurricane forecasting with increased speed and accuracy. Despite its success, some experts refer to the AI model as a "black ...

Effective risk stratification in cancer survivorship requires handling longitudinal data characterized by multimodal inputs, irregular follow-up, and recurrent clinical events. This study evaluated ...

torch 2.2.2 PyTorch framework for neural networks. The documented GPU setup targets the official CUDA 12.1 wheel. FF3.CSV Ken French Data Library Full file included Fama-French 3-factor returns. Only ...

Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...

Forecasting dynamic weather patterns like the January winter storm is not a simple task. Meteorologists pore over hundreds of computer-generated models predicting atmospheric conditions such as ...