· ai
[Paper] Controlled Self-Evolution for Algorithmic Code Optimization
Self-evolution methods enhance code generation through iterative 'generate-verify-refine' cycles, yet existing approaches suffer from low exploration efficiency...
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- · ai
[Paper] Controlled Self-Evolution for Algorithmic Code Optimization
Self-evolution methods enhance code generation through iterative 'generate-verify-refine' cycles, yet existing approaches suffer from low exploration efficiency...
- · ai
[Paper] Controlled Self-Evolution for Algorithmic Code Optimization
Self-evolution methods enhance code generation through iterative 'generate-verify-refine' cycles, yet existing approaches suffer from low exploration efficiency...
- · devops
[Paper] Bringing Computation to the data: Interoperable serverless function execution for astrophysical data analysis in the SRCNet
Serverless computing is a paradigm in which the underlying infrastructure is fully managed by the provider, enabling applications and services to be executed wi...
- · software
[Paper] Engineering Decisions in MBSE: Insights for a Decision Capture Framework Development
Decision-making is a core engineering design activity that conveys the engineer's knowledge and translates it into courses of action. Capturing this form of kno...
- · ai
[Paper] A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems
The rapid emergence of multi-agent AI systems (MAS), including LangChain, CrewAI, and AutoGen, has shaped how large language model (LLM) applications are develo...
- · ai
[Paper] The Potential Impact of Neuromorphic Computing on Radio Telescope Observatories
Radio astronomy relies on bespoke, experimental and innovative computing solutions. This will continue as next-generation telescopes such as the Square Kilometr...
- · ai
[Paper] SC-MII: Infrastructure LiDAR-based 3D Object Detection on Edge Devices for Split Computing with Multiple Intermediate Outputs Integration
3D object detection using LiDAR-based point cloud data and deep neural networks is essential in autonomous driving technology. However, deploying state-of-the-a...
- · software
[Paper] How Secure is Secure Code Generation? Adversarial Prompts Put LLM Defenses to the Test
Recent secure code generation methods, using vulnerability-aware fine-tuning, prefix-tuning, and prompt optimization, claim to prevent LLMs from producing insec...
- · ai
[Paper] Neuromorphic FPGA Design for Digital Signal Processing
In this paper, the foundations of neuromorphic computing, spiking neural networks (SNNs) and memristors, are analyzed and discussed. Neuromorphic computing is t...
- · software
[Paper] Between Policy and Practice: GenAI Adoption in Agile Software Development Teams
Context: The rapid emergence of generative AI (GenAI) tools has begun to reshape various software engineering activities. Yet, their adoption within agile envir...
- · ai
[Paper] Zer0n: An AI-Assisted Vulnerability Discovery and Blockchain-Backed Integrity Framework
As vulnerability research increasingly adopts generative AI, a critical reliance on opaque model outputs has emerged, creating a 'trust gap' in security automat...