Building Generative AI models depends heavily on how fast models can reach their data. Memory bandwidth, total capacity, and ...

“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

As GPU’s become a bigger part of data center spend, the companies that provide the HBM memory needed to make them sing are benefitting tremendously. AI system performance is highly dependent on memory ...

To expand the understanding of memory, a research team has developed a technology called LCD-eGRASP (local circuit dual-eGRASP) that can label synapses of neural circuits within a specific brain ...

System efficiency is dictated by the performance of crucial components. For AI hardware systems, memory subsystem performance is the single most crucial component. In this blog post, we will provide ...

Data visualization — and its close cousin, visual information design — is an often underrated skill; however, it plays a critical role in communicating information to an audience. More than just ...

Labeling of intraregional synapses using LCD-eGRASP in the basolateral amygdala (BLA). Engram cells (Red), Non-engram cells (White), synapses from activated inhibitory interneurons (yellow), and ...