AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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1,701 papers
The results demonstrate the cutting-edge potential of CRISPR/Cas9 multiplex approaches as next-generation methods for designing sustainable resistance to multifaceted plant virus diseases and contribute to understanding of CRISPR-based antiviral response mechanisms.
While LLM-based multi-agent systems show potential for large-scale software development, successful integration requires addressing challenges such as memory limitations, hallucinations, and code smells, alongside a practitioner-centric perspective.
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
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This work presents the design and implementation of a governance-aware, multi-tenant AI sandbox for structured experimentation and the generation of reusable evaluation evidence across projects and stakeholder groups.
A Multi-Vocal Literature Review is conducted, combining insights from both academia and industry, including peer-reviewed studies and grey literature to systematically synthesize and analyze existing knowledge on LLM-based multi-agent systems for code generation.
The vision is to leverage the capabilities of multiple GPT agents to contribute to SE tasks and to propose an initial road map for future work, arguing that multiple G PT agents can perform creative and demanding tasks far beyond coding and debugging.
Carbon-Aware Governance Gates (CAGG), an architectural extension that embeds carbon budgets, energy provenance, and sustainability-aware validation orchestration into human-AI governance layers, is proposed.
Abstract. Carbon dioxide (CO2) emissions from industrial activities remain one of the greatest contributors to global climate change. Hollow fiber membranes (HFMs) have emerged as a promising technology for post-combustion CO2 separation owing to their high surface-area-to-volume ratio and scalability. This work focuse...
The growth rate of global grain production can no longer meet the demands arising from population expansion. Meanwhile, climate change, cultivated land degradation and environmental stress are further exacerbating the vulnerability of the food production system. Ensuring food security is fundamental to maintain the sta...
It was established that information and knowledge of shape memory alloys, SMAs, are either lacking or not available in a form that fulfills the needs of the non-specialist engineering designer.
Genie 4: our new world model unlocking unprecedented realism in real-time simulation.
Generative AI
General Science
A Blog post by NVIDIA on Hugging Face
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
General Science
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