Researchers have developed a new forecasting model that helps companies more accurately estimate how many customers are interested in a product -- even when key data is missing. The study introduces a ...

Google researchers have proposed TurboQuant, a two-stage quantization method that, according to a recent arXiv preprint, can cut key-value cache memory by about 4x in their tests while reporting no ...

To prepare for extreme heat waves around the world -- particularly in places known for cool summers -- climate-simulation models that include a new computing concept may save tens of thousands of ...

Researchers at the Department of Energy’s Oak Ridge National Laboratory (ORNL) have developed a dynamic modeling method that uses machine learning to provide accurate simulations of grid behavior and ...

MIT study finds cross-model uncertainty measurement outperforms traditional methods in spotting unreliable AI predictions ...

Classical computations rely on binary bits, which can be in either of the two states, 0 or 1. In contrast, quantum computing is based on qubits, which can be 0, 1, or a superposition or entanglement ...

A new technical paper, “Link Quality Aware Pathfinding for Chiplet Interconnects,” was published by researchers at UCLA. Abstract “As chiplet-based integration advances, designers must select among ...