Category
1,416 papers
An important theme that emerged from this Research Topic is the toxicological safety assessment of novel foods including genotoxicity and repeated dose toxicity. Schreppler et al., employed a standard battery of in vitro genotoxicity tests (bacterial reverse mutation assay, in vitro mouse lymphoma TK gene mutation assa...
This paper explores the application of dynamic topology optimization techniques to biological networks, aiming to enhance drug discovery and gene editing. Biological networks, complex systems of interconnected nodes and edges, are increasingly utilized in various fields. Traditional optimization methods often rely on f...
This paper explores the application of dynamic topology optimization techniques to biological networks, aiming to enhance drug discovery and gene editing. Biological networks, complex systems of interconnected nodes and edges, are increasingly utilized in various fields. Traditional optimization methods often rely on f...
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.
Reach audiences
Advertise in front of researchers, engineers, and readers.
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.
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...
GPT-Lab
· gpt-lab.eu
Oct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
A Blog post by Ai2 on Hugging Face
A Blog post by ServiceNow-AI on Hugging Face
“InstructMesh” can generate designs for everyday objects that are easy to edit and fabricate for both experts and newcomers to 3D modeling.
Proof of concept for watermarking AI-generated proteins while preserving biological function.
Algorithms & Theory
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
