Tight PPA constraints are only one reason to make sure an NPU is optimized; workload representation is another consideration.

Overview Python remains one of the most widely used languages in robotics, thanks to its readability, extensive libraries, ...

The orbitofrontal cortex (OFC) is critical to identifying task structure and to generalizing appropriately across task states with similar underlying or hidden causes. This capability is at the heart ...

Understand and implement the RMSProp optimization algorithm in Python. Essential for training deep neural networks ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Barry S. Honig  The bulk materials industry is undergoing a significant technological transformation. Organizations across ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Abstract: Improving transport efficiency is challenging for multimodal transport participants to improve cost-effectiveness. This paper proposes to select city nodes and establish a multi-objective ...

Abstract: Multi-objective evolutionary algorithms (MOEAs) have achieved notable success in recommendation systems (RSs) by meeting diverse user needs. However, existing MOEAs lack effective methods to ...

Founder of Bleeding Cool. The longest-serving digital news reporter in the world, since 1992. Author of comic books The Flying Friar, Holed Up, The Avengefuls, Doctor Who: Room With A Deja Vu, The ...