THE COLLECTION
EVERY SIGNAL, SORTED.
Search the whole shelf by topic, tool, term, or plain old curiosity.
France, Time-Series Forecasting, Open Models, Probabilistic Prediction, Industrial Operations, Energy, Supply Chains, CPU Inference and Model Evaluation
Mistral made four small forecasting models. The baseline still gets a chair
Timestral turns histories, related measurements and known future events into probabilistic forecasts on ordinary CPUs. Mistral reports leading public benchmark results. The useful deployment test is whether one of its four sizes beats a plain baseline on the decision that actually costs money.
South Korea, Demand Forecasting, Supply Chains and Decision Evidence
LG trained demand AI on 11.3 million series, but the missing promotion still wins
EXAONE Demand ranks first among the 36 time-series foundation models LG tested. The paper also shows why a better forecast is not yet a better inventory decision.
United Kingdom, Probabilistic Forecasting, AI Evaluation and Decision Support
A London forecasting bot beat the humans and immediately met venture capital
Mantic finished ahead of every human in a short-horizon forecasting tournament and raised $25 million. One scoreboard can reveal progress without settling the harder question of whether the forecasts improve real decisions.
AI Forecasting, Calibration and Decision Evidence
Mantic beat the human forecasters, but the scoreboard needs context
A London startup finished ahead of every human in a public forecasting tournament and raised $25 million. One leaderboard can establish a result without proving a universal forecasting machine.