Abstract: Computing-In-Memory (CIM) is widely applied in neural networks due to its unique capability to perform multiply-and-accumulate operations within a circuit array. This process directly ...

Abstract: Most near-field (NF) localization algorithms cannot deal with the underdetermined case, while those which can are computationally expensive due to employment of fourth-order cumulants. In ...

Do you suffer from parallelophobia? If you deal with an irrational fear of parallel parking, you're not alone. Nearly half of all Americans suffer from this condition, and in Britain, many would ...

Over the past decades, a growing number of robotics teams have started developing modular robots inspired by the ancient paper-folding art of origami. More recently, some of these teams started ...

Remote and hybrid work have become defining features of the postpandemic economy. While most employees seem to love it, the initial optimistic assessment during the pandemic that remote work was a ...

Plenty of people use generative AI for writing emails, building slide decks, scheduling meetings, and taking notes. It can feel liberating to hand off such routine ...

Industrial digital input chips provide serialized data by default. However, in systems that require real time, low latency, or higher speed, it may be preferable to provide level-translated, real-time ...

We’re past the point of imagining how artificial intelligence could help us work more efficiently. The question now is whether we can keep the hours we save, or whether the reward for working faster ...

Rosemary Sheehan receives funding from the Australian Research Council. She is chair of Pathways Response Victoria, an organisation which receives complaints of abuse by officers of the Catholic ...

Connecting with colleagues outside of work can be a tricky endeavor, especially for leaders. On the one hand, it can be a swift means of creating more personalized relationships and stronger bonds: ...