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9 storiesInnovation
CommerceVibe turns e-commerce creative generation into editable HTML and CSS
A new preprint describes CommerceVibe, an AI system that generates editable e-commerce creatives as executable HTML and CSS code. Its authors report a weighted benchmark score of 94.0, up from 87.3 for a supervised-fine-tuning-only version, with additional validation from five design experts.arxiv.orgSecurity
Study maps how speech-recognition errors can weaken embodied AI safety
An arXiv preprint reports that simulated automatic speech-recognition errors can make embodied AI systems more likely to accept harmful instructions, generate unsafe plans and execute them in benchmark scenarios.arxiv.orgInnovation
Paper reports preserving video AI accuracy with 90% fewer visual tokens
A new arXiv preprint proposes Token-Budget Distillation, a fine-tuning method intended to retain the semantic behavior of video vision-language models after aggressive visual-token compression.arxiv.orgInnovation
Report Supervision uses radiology reports to improve AI tumor segmentation
A research team reports that its Report Supervision framework uses routine radiology reports to supplement scarce 3D tumor masks, improving AI segmentation of kidney and pancreatic tumors by up to 15% against mask-only training.arxiv.orgInnovation
LUCID proposes an AI-agent framework that adapts robotic paths and wireless resources
A new arXiv preprint describes LUCID, an LLM-agent framework that dynamically reconfigures robot trajectories and uplink resources inside a digital-twin environment as operator goals, robot counts and wireless conditions change.arxiv.orgInnovation
MaCoPlanner uses an LLM and formal checks to plan safer robotic panel operations
A new arXiv preprint describes MaCoPlanner, a framework that converts equipment manuals into structured knowledge, uses an LLM to generate task plans, and symbolically checks those plans before robotic actuation. In simulator experiments, the authors report higher task success and a 2.7% final violation rate, while…arxiv.orgInnovation
Survey frames AI alignment as a problem of competing preferences and changing priorities
A survey accepted as an EMNLP-2026 main-conference paper organizes AI-alignment research around preference diversity, alignment priorities and temporal dynamics.arxiv.orgInnovation
Study finds tiny scale vectors can materially affect large language model training
A revised arXiv study argues that the small learnable vectors inside LLM normalization layers have a larger effect on training than their parameter count suggests. The authors report lower training loss from several lightweight changes across dense and mixture-of-experts models, but the abstract does not provide…arxiv.orgInnovation
OutageDiT uses generative AI to forecast power outages and simulate scenarios
A new arXiv preprint describes OutageDiT, a generative foundation model that produces seven-day, quarter-hourly power-outage trajectories and supports uncertainty estimates and conditional event simulation.arxiv.org
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