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2,717 papers
Findings indicate that Combined Data Augmentation (CDA) provides its most decisive benefit under the from-scratch configuration, rescuing the model from training collapse on both datasets.
This paper presents a meta-synthesis that draws together four constituent studies covering adversarial machine learning, AI-powered anomaly detection in cloud environments, automated vulnerability patching by multi-agent large language model (LLM) pipelines, and the broader landscape of securing AI systems across their...
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Requirements engineering (RE) governs the quality of everything downstream in systems engineering (SE); defective requirements that survive review cycles propagate into design rework, schedule delays, and cost overruns. Because requirements are often written in natural language, recent advances in generative AI have ra...
A comprehensive review of how Artificial Intelligence and Machine Learning are redefining this landscape across three critical dimensions outlines the transition toward end‐to‐end, adaptive discovery systems that ensure computational hits are biologically potent, structurally optimized, and synthetically accessible.
This work states that network medicine (NM), which models biological systems as dynamic, interconnected networks, enables integration of multiomic data and better characterizes disease mechanisms to guide precision therapies when combined with AI.
With the rapid advancement of generative artificial intelligence (AI), the visual fidelity of synthesized images has increased dramatically, posing serious challenges to the verification of digital content authenticity. Existing AI-generated image detection methods often suffer from limited generalization and robustnes...
Current LLMs demonstrate proficiency in foundational medical knowledge, but a significant evidence gap remains regarding their inferential validity in the non-deterministic surgical scenarios, and future research must transition from retrospective algorithmic benchmarking toward standardized, prospective clinical trial...
Code, pre-registrations with frozen thresholds, result summaries and manuscript for a minimal controlled model of cultural transmission in a Lewis referential game. Two small neural agents invent a language over 64 objects; each generation is a fresh pair that first learns a limited set of its parent's (object, message...
The analysis argues that the ethical impact of generative AI on cultural work cannot be assessed solely through narratives of innovation or collaboration and must be evaluated in relation to structural inequalities, labor governance, and the protection of creative autonomy.
How multi-objective optimization can steer generative AI toward more realistic drug candidates and outlines key challenges that must be addressed for broader adoption in drug discovery are outlined.
A Blog post by Liquid AI on Hugging Face
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Generative AI
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
A Blog post by Dharma-AI on Hugging Face
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