Prediction of overload in streams of robots

Prediction of overload in streams of robots

Many Amazon fulfillment centers use mobile robots to move shelves, pick up products and deliver them to workers for sorting, reducing the need for employees to walk for long distances. For simplicity and scalabibility, the PATH planning algorithm, which robots are currently using on individual agents, focuses and ignores interactions between multiple agents. We want … Read more

Makes deep learning convenient for the forecasts of the soil system

Makes deep learning convenient for the forecasts of the soil system

Earth is a complex system. Variability ranging from regular events such as temperature fluctuations to extreme events such as drought, hailstorms and El NiƱo – Southern oscillation (Enso) phenomenon can affect crops, delay airline flights and cause floods and forest fires. Precise and timely forecasts of these variabilities can help people take requirements for precautions … Read more

Management of disaster readiness: AIS role in navigating complex climate risks

Management of disaster readiness: AIS role in navigating complex climate risks

As climate change intensive, our ability to predict and respond to cascading and compound disasters increasingly critical. Floods, droughts, fires and extreme storms are no longer isolated events; They interact with ways that defy traditional prediction systems. One way to tackle this challenge is to exploit artificial intelligence (AI) to create integrated, impact -focused early … Read more