IEEE

A Neural Operator Unifying Graph Neural Networks and Point Transformers

Abstract: Neural operators have emerged as a powerful tool for learning mappings between function spaces, particularly for solving partial differential equations (PDEs). This study introduces a novel ...
IEEE

Physics-Enhanced Neural Network Compact Model for Fast and Flexible Transistor Modeling

A physics-enhanced neural network (PENN) compact model aimed at advanced transistors [e.g., gate-all-around (GAA), FinFET,...] is proposed. This model integrates physical relationships into neural ...

Scientists Create “Neurobots” – Living Machines With Their Own Nervous Systems

Neurobots—xenobots with neurons—show self-organized nervous systems and enhanced behaviors, revealing new insights into how ...

Anker’s THUS AI Chip Platform Brings Neural-Net AI To Consumer Devices

Anker's THUS chips embeds a processors on memory chips to reduce the energy consumption. Apple has done something simililar ...