When we watch videos or ask AI questions, enormous amounts of data are constantly moving inside computers. In particular, ...

HBM has become one of the most successful and widely adopted examples of chiplet-based integration in AI systems.

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...

Abstract: Advanced memory optimization techniques are reviewed to enhance the performance of Convolutional Neural Networks (CNNs) and Spiking Neural Networks (SNNs) on hardware accelerators, ...

Abstract: In-memory computing (IMC) has emerged as a promising solution for artificial intelligence (AI) accelerators due to the reduced data movement and improved parallelism in the crosspoint array.

Cisco shares plunged 12% Thursday as the company's margins face pressure from rising memory prices. The drop is the company's largest in four years. The memory shortage, driven by increased demand for ...

Age-related memory decline and neurodegenerative diseases like Alzheimer's are often thought of as irreversible. But the brain is not static; neurons continually adjust the strength of their ...

Java developers are simultaneously abandoning Oracle’s distribution to cut costs while expanding their use of the language to support production-grade AI. The 2026 State of Java Survey and Report, ...