Sir
PulseAugur coverage of Sir — every cluster mentioning Sir across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New hybrid model integrates agent-based and epidemiological approaches for pandemic response
Researchers have developed ABM-SIRTEM, a novel hybrid model that combines agent-based modeling with epidemiological approaches to study pandemic response. This model accounts for individual heterogeneity, economic produ…
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AI agents vulnerable to self-improving prompt injection attacks
A self-improving prompt injection attack, named SIR, has demonstrated a significant increase in its success rate against AI agents. Initially at 0%, SIR's success rate climbed to 28% when targeting Google's Gemini 3.5 P…
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New method imputes missing data using manifold hypothesis and VAEs
Researchers have developed a novel method for imputing missing data by leveraging the manifold hypothesis, which suggests that high-dimensional data lies on a low-dimensional manifold. The proposed technique utilizes mi…
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New Structured SIR method enhances uncertainty quantification in image registration
Researchers have developed a new method called Structured SIR for high-dimensional image registration, particularly for brain MRI data. This technique improves the characterization of uncertainty in probabilistic infere…
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New SIR method enhances robot learning explainability and bias detection
Researchers have developed a new method called Structured Image Representations (SIR) to improve the explainability of robot learning policies. SIR utilizes Scene Graphs (SGs) as an intermediate representation, construc…
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New SIR method enhances robot learning explainability with Scene Graphs
Researchers have developed a new method called Structured Image Representations (SIR) to improve explainability in robot learning. SIR utilizes Scene Graphs as an intermediate representation, constructing a graph from i…