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NewsNet-SDF: Stochastic Discount Factor Estimation with Pretrained Language Model News Embeddings via Adversarial Networks
Shunyao Wang, Ming Cheng, Christina Dan Wang
https://arxiv.org/abs/2505.06864

NewsNet-SDF: Stochastic Discount Factor Estimation with Pretrained Language Model News Embeddings via Adversarial Networks
Stochastic Discount Factor (SDF) models provide a unified framework for asset pricing and risk assessment, yet traditional formulations struggle to incorporate unstructured textual information. We introduce NewsNet-SDF, a novel deep learning framework that seamlessly integrates pretrained language model embeddings with financial time series through adversarial networks. Our multimodal architecture processes financial news using GTE-multilingual models, extracts temporal patterns from macroecono…

Replaced article(s) found for cs.AR. https://arxiv.org/list/cs.AR/new/
[1/1]:
YOCO: A Hybrid In-Memory Computing Architecture with 8-bit Sub-PetaOps/W In-Situ Multiply Arithme...

A Simple and Novel Passive Double-Sensitivity Optical Gyroscope Based on Non-Reciprocal Polarization Techniques
Onder Akcaalan, Melike Gumus Akcaalan
https://arxiv.org/abs/2506.03498

A Simple and Novel Passive Double-Sensitivity Optical Gyroscope Based on Non-Reciprocal Polarization Techniques
This paper presents a novel interferometric fiber optic gyroscope (IFOG) architecture, the Double-Sensitive Non-Reciprocal Polarization Phase Shifter IFOG (DS-NRPPS-IFOG), which introduces for the first time a fully passive phase biasing scheme capable of simultaneous operation at two quadrature points $π/2$ and $3π/2$. Building upon prior passive biasing techniques, this design uses a Non-Reciprocal Polarization-Dependent Phase Shifter (NRPPS) combined with a double-pass sensing coil arrange…

POLARON: Precision-aware On-device Learning and Adaptive Runtime-cONfigurable AI acceleration
Mukul Lokhande, Santosh Kumar Vishvakarma
https://arxiv.org/abs/2506.08785

POLARON: Precision-aware On-device Learning and Adaptive Runtime-cONfigurable AI acceleration
The increasing complexity of AI models requires flexible hardware capable of supporting diverse precision formats, particularly for energy-constrained edge platforms. This work presents PARV-CE, a SIMD-enabled, multi-precision MAC engine that performs efficient multiply-accumulate operations using a unified data-path for 4/8/16-bit fixed-point, floating point, and posit formats. The architecture incorporates a layer adaptive precision strategy to align computational accuracy with workload sensi…

[2025-06-02 Mon (UTC), 8 new articles found for cs.NI Networking and Internet Architecture]
#toXiv_bot_toot

I have released LLama2.c64 - an LLM running on a C64 with 2MB REU. It runs the Llama2 LLM architecture, using the tokenizer and weights from the Tinystories 260K model.
It's a storytelling model that tries its best to spin your prompt into a story, as if told by a kindergarten child. It will generate one output token about every 8 minutes.
…

Join us for the book launch of 'Transforming Development in Education: from coloniality to rethinking, reframing, and reimagining possibilities'.
A crucial time given the widespread changes to the global education and development architecture.
When: Tuesday, 18 March 2025 at 9 am EST | 3 pm CEST

Evaluating the impact of the L3 cache size of AMD EPYC CPUs on the performance of CFD applications
Marcin Lawenda, {\L}ukasz Szustak, L\'aszl\'o K\"ornyei, Flavio Cesar Cunha Galeazzo, Pawe{\l} Bratek
https://arxiv.org/abs/2505.17934

Evaluating the impact of the L3 cache size of AMD EPYC CPUs on the performance of CFD applications
In this work, the authors focus on assessing the impact of the AMD EPYC processor architecture on the performance of CFD applications. Several generations of architectures were analyzed, such as Rome, Milan, Milan X, Genoa, Genoa X and Bergamo, characterized by a different number of cores (64-128), L3 cache size (256 - 1152 MB) and RAM type (8-channel DDR4 or 12-channel DDR5). The research was conducted based on the OpenFOAM application using two memory-bound models: motorBike and Urban Air Pol…