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 ...

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...

Abstract: The complexity of data and limited model generalization significantly hinder prediction accuracy. A physics-informed long short-term memory model with adaptive weight assignment (PILSTM-AWA) ...

Researchers from several leading U.S. universities and industry have created a new kind of computer chip that stacks memory and computing vertically, dramatically improving how fast data can move ...