Through predictive modelling, AI supports target identification, prediction of physicochemical properties and formulation strategy selection.

Wildfire survivors call fire-prediction markets “morally reprehensible” and worry they could increase the risk of arson.

The Forecast 2026 project pits soccer fans against AI and statistical models to see who predicts the 2026 World Cup match ...

Compare the best prediction markets in 2026. See welcome offers, fees, and sports coverage for Kalshi, Polymarket, OG ...

Meta is reportedly developing a new standalone prediction markets application that could place the social media giant in ...

Predictions are for a "below-normal" hurricane season, but officials warn Florida residents should always be prepared.

Abstract: Vehicle position prediction (VPP) is of great significance for navigation planning and traffic safety of intelligent vehicles. In general, particle filtering (PF) uses global navigation ...

A detector buried deep in Antarctic ice has captured the first experimental evidence of a predicted but never-before-seen phenomenon: radio pulses generated when high-energy cosmic rays slam into the ...

Abstract: In this paper, we propose a recurrent semantic preserving generation (RSPG) method for action prediction. Unlike most existing methods which don't make full use of information from partially ...

In this project, we use MolE's pre-trained representation to train XGBoost models to predict the antimicrobial activity of compounds based on their molecular structure. This repository contains all of ...

Many cybersecurity leaders kick off each new year with predictions for the year to come. You may have seen a deluge of them over the last month or so: "Cyberattacks will continue to be a problem." ...

Background: Drug-induced cardiotoxicity (DICT) is a severe adverse drug reaction that contributes to clinical trial failures and drug withdrawals. Forecasting DICT is challenging due to the property’s ...