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Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference architecture for enhanced efficiency and interpretability
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...
First part of two parts. The second part will dive into basic architectural characteristics. The last year has seen a vast array of announcements of new machine-learning (ML) architectures for edge ...
Collaboration combines d-Matrix 3DIMC technology with Andes' high-performance RISC-V CPU IP for Raptor, d-Matrix's next-gen accelerator for blazing fast, sustainable AI inference TAIPEI, Nov. 17, 2025 ...
Researchers present NorthPole – a brain-inspired chip architecture that blends computation with memory to process data efficiently at low-energy costs. Since its inception, computing has been ...
Groq has entered into a non-exclusive license agreement with NVIDIA, with CEO Jonathan Ross and president Sunny Madra joining ...
The number of AI inference chip startups in the world is gross – literally gross, as in a dozen dozens. But there is only one ...
FPGAs might not have carved out a niche in the deep learning training space the way some might have expected but the low power, high frequency needs of AI inference fit the curve of reprogrammable ...
In this distributed environment, connectivity becomes foundational—a layer of invisible fabric that ties everything together.
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