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Neuromorphic intermediate representation: A unified instruction set for interoperable brain-inspired computing
Spiking neural networks and neuromorphic hardware platforms that simulate neuronal
dynamics are getting wide attention and are being applied to many relevant problems using …
dynamics are getting wide attention and are being applied to many relevant problems using …
Advancements in affective disorder detection: Using multimodal physiological signals and neuromorphic computing based on snns
Currently, the integration of artificial intelligence (AI) techniques with multimodal
physiological signals represents a pivotal approach to detect affective disorders (ADs). With …
physiological signals represents a pivotal approach to detect affective disorders (ADs). With …
Digital Computing Continuum Abstraction for Neuromorphic Systems
The rising complexity and data generation in cyber-physical systems and the Internet of
Things require a shift towards an edge-to-cloud computing continuum ecosystem with …
Things require a shift towards an edge-to-cloud computing continuum ecosystem with …
Exploring the sustainable scaling of AI dilemma: A projective study of corporations' AI environmental impacts
C Desroches, M Chauvin, L Ladan, C Vateau… - arxiv preprint arxiv …, 2025 - arxiv.org
The rapid growth of artificial intelligence (AI), particularly Large Language Models (LLMs),
has raised concerns regarding its global environmental impact that extends beyond …
has raised concerns regarding its global environmental impact that extends beyond …
NeuroVM: Dynamic Neuromorphic Hardware Virtualization
This paper introduces a novel approach in neuromorphic computing, integrating
heterogeneous hardware nodes into a unified, massively parallel architecture. Our system …
heterogeneous hardware nodes into a unified, massively parallel architecture. Our system …