Many retail myths around product launches still persist—from overstocking safety stock to over-relying on historical data.
Abstract: The advancement of large models has initiated a transformation in the field of time-series forecasting. Both the repurposing of existing large models and the development of large models ...
PHOENIX — In the wake of Roman Anthony’s oblique injury, Red Sox manager Alex Cora figured he’d shift Jarren Duran back to his familiar spot as the leadoff man against most — if not all — right-handed ...
U.S. Marines with 3d Marine Division execute a notional fire mission with the Navy-Marine Expeditionary Ship Interdiction System during an Expeditionary Advanced Base Field Training Exercise at the ...
Abstract: Forecasting energy consumption is critical for maximizing resource utilization, lowering operational costs, and increasing sustainability. Traditional machine learning models often function ...
Note: Our code has been tested in VS Code. If you run it in PyCharm, there might be path-related issues due to the differences in the path logic between VS Code and PyCharm. The four datasets (METR-LA ...
Here’s some good news coming off a long holiday weekend as we head into the fall: If you missed the northern lights (or aurora borealis) last night, you may get another chance to catch a glimpse ...
Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...
An international team of researchers in Singapore and Japan has developed a theoretical framework for creating hopfion crystals, which are complex, knot-like patterns of light that repeat across both ...