Based on the Fund's current share price of $13.73 (as of its close on October 9, 2025), the distribution represents an annualized distribution rate of approximately 9.83% (calculated by annualizing ...

As the demand for reasoning-heavy tasks grows, large language models (LLMs) are increasingly expected to generate longer sequences or parallel chains of reasoning. However, inference-time performance ...

Dynamic mechanisms of engram maturation. During the allocation, engram allocation is primarily governed by enhancements in intrinsic neuronal excitability, driven primarily by increased ...

The demonstration highlights a major advancement in memory flexibility, showcasing how CXL switching can enable seamless, on-demand memory pooling and expansion across heterogeneous systems. The ...

As someone who has spent over two decades in the embedded systems industry, I’ve seen the vast evolution of technology—from 8-bit microcontrollers to today’s sophisticated, multicore systems. Yet, one ...

Researchers from the Graz University of Technology have discovered a way to convert a limited heap vulnerability in the Linux kernel into a malicious memory writes capability to demonstrate novel ...

Efficient use of GPU memory is essential for high throughput LLM inference. Prior systems reserved memory for the KV-cache ahead-of-time, resulting in wasted capacity due to internal fragmentation.

Abstract: Autonomous systems require high-performance processing capabilities, which demand the use of powerful accelerators such as GPUs. However, the use of GPUs in critical systems presents several ...

An international collaborative research team has discovered that G-quadraplex DNA (G4-DNA) accumulates in neurons and dynamically controls the activation and repression of genes underlying long-term ...

If this is correct, this should be stated in the documentation directly so others do not need to sift through multiple function calls to figure out what the difference is. Why one may be better for a ...