NeuroBench:A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems

Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research field currently lacks standardized benchmarks, making it difficult to accurately measure technological advancements, compare performance with conventional methods, and identify promising future research directions. Prior neuromorphic computing benchmark efforts have not seen widespread adoption due to a lack of inclusive, actionable, and iterative benchmark design and guidelines. To address these shortcomings, we present NeuroBench: a benchmark framework for neuromorphic computing algorithms and systems. NeuroBench is a collaboratively-designed effort from an open community of nearly 100 co-authors across over 50 institutions in industry and academia, aiming to provide a representative structure for standardizing the evaluation of neuromorphic approaches. The NeuroBench framework introduces a common set of tools and systematic methodology for inclusive benchmark measurement, delivering an objective reference framework for quantifying neuromorphic approaches in both hardware-independent (algorithm track) and hardware-dependent (system track) settings. In this article, we present initial performance baselines across various model architectures on the algorithm track and outline the system track benchmark tasks and guidelines. NeuroBench is intended to continually expand its benchmarks and features to foster and track the progress made by the research community

Descifrando las bases moleculares de la interacción entre las cepas endófitas Kosakonia sp. UYSO10 y Rhizobium sp. UYSO24 y plantas de caña de azúcar.

Los endófitos son bacterias que durante parte o todo su ciclo de vida, invaden los tejidos de plantas vivas sin provocar síntomas de enfermedad. Estos son de gran interés por su potencial aplicación biotecnológica en los sistemas agrícolas, debido a su capacidad de promover el crecimiento vegetal. La interacción de las bacterias endófitas con las plantas constituye un proceso dinámico que depende de un ambiente adecuado y de factores genéticos.Este trabajo se basa en la hipótesis de que las cepas Kosakonia sp. UYSO10 y Rhizobium sp. UYSO24 presentan características asociadas a la interacción planta-endófito,las cuales determinan la promoción del crecimiento vegetal. El objetivo es profundizar en el conocimiento de la interacción entre plantas de caña de azúcar y las cepas UYSO10 y UYSO24

Tibidabo: a syntactically and semantically annotated corpus of Spanish

In this paper, I discuss the theoretical and practical issues raised in the development of Tibidabo, a syntactically and semantically annotated corpus of Spanish, which has been developed using the DELPH-IN corpus annotation environment and the HPSG-based grammar, SRG. I describe in detail the linguistic analysis that Tibidabo provides, focussing on various syntactic phenomena that are frequently discussed in the literature and consider alternative analyses proposed in the HPSG literature and in AnCora, another Spanish Treebank.This work was funded by the Ramón y Cajal program of the Spanish Ministerio de Ciencia e Innovación