TSMC's faces costs, politics, and capacity obstacles. Once framed as politically motivated, TSMC's US expansion has evolved into a costly long-term commitment exceeding US$165 bil ...

Challenging the brain with new learning, like a new language, may build cognitive reserve and memory confidence.

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

New AI memory method lets models think harder while avoiding costly high-bandwidth memory, which is the major driver for DRAM ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Overview: Cloud-native and microservices architectures are becoming even more central to modern applications, with Java and ...

Abstract: This paper introduces a computational model of episodic memory that learns episodes in response to continuous sensory input. The proposed model utilizes a Hebbian based associative learning ...

Abstract: Short-term time series forecasting is pivotal in various scientific and industrial fields. Recent advancements in deep learning-based technologies have significantly improved the efficiency ...