CONCLUSION: We identified a 3.2%-6.3% prevalence of the neo-RAS-WT phenomenon in the CO.26 trial. However, 67% of apparent cases were transient with subsequent re-emergence. →
AI21 Labs has made a significant stride in the AI landscape by releasing the Jamba 1.5 family of open models, comprising Jamba 1.5 Mini and Jamba 1.5 Large. These models, built on the novel SSM-Transformer architecture, represent a breakthrough in AI technology, particularly in handling long-context tasks. AI21 Labs aims to democratize access to these… →
CONCLUSIONS AND RELEVANCE: In this secondary analysis of a cluster randomized clinical trial, approximately half of older patients received their preferred approach to CRC screening. Physician training in SDM did not result in higher concordance rates overall but may have benefitted some subgroups. Future work to refine and evaluate clinical decision support (in the form… →
The main challenge in developing advanced visual language models (VLMs) lies in enabling these models to effectively process and understand long video sequences that contain extensive contextual information. Long-context understanding is crucial for applications such as detailed video analysis, autonomous systems, and real-world AI implementations where tasks require the comprehension of complex, multi-modal inputs over… →
Tabular data, which dominates many genres, such as healthcare, financial, and social science applications, contains rows and columns with structured features, making it much easier for data management or analysis. However, the diversity of tabular data, including numerical, unconditional, and textual, brings huge challenges to attaining robust and accurate predictive performance. Another area for improvement… →
One uses computational power in physics simulation to solve mathematical models that describe physical events. When dealing with complex geometries, fluid dynamics, or large-scale systems, the processing demands of these simulations can be enormous, but the insights they bring are vital. 3D physics simulations are time-consuming, costly, and a pain to run. Before even running… →
The training of large-scale deep models on broad datasets is becoming more and more costly in terms of resources and environmental effects due to the exponential development in model sizes and dataset scales in deep learning. A new, potentially game-changing approach is deep model fusion techniques, which combine the insights of several models into one… →
CONCLUSIONS: VT was rare. New-onset NNRTI HIVDR in Case mothers was likely from efavirenz-ART prescribed prior to study dolutegravir-ART, and in one case appeared transmitted to the infant despite nevirapine prophylaxis. →
Model distillation is a method for creating interpretable machine learning models by using a simpler “student” model to replicate the predictions of a complex “teacher” model. However, if the student model’s performance varies significantly with different training datasets, its explanations may need to be more reliable. Existing methods for stabilizing distillation involve generating sufficient pseudo-data,… →