arXiv:2608.23626v1 Announce Type: new Abstract: Foundation models for astronomy are trained on survey pixels together with the catalogue products derived…
Category: AI
TRACE: Transition-Aware Residual Control for Multi-Objective Materials Discovery
arXiv:2608.23631v1 Announce Type: new Abstract: Multi-objective materials discovery with LLM agents is often limited not only by how many candidates can…
RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation
arXiv:2608.23568v1 Announce Type: new Abstract: Memory and RAG evaluations often treat the answering model’s input as an implementation detail, even…
Real-TurnTurk: A Multimodal Turkish Corpus for Turn-Taking Prediction
arXiv:2608.22071v1 Announce Type: cross Abstract: Turn-taking is a basic organizational feature of human conversation and remains difficult to model in…
ADMIL: Attention-Distilled Multiple Instance Learning for Selective Foundation Model Inference in Pathology
arXiv:2608.22066v1 Announce Type: cross Abstract: Attention-based multiple instance learning (ABMIL) using pathology foundation model embeddings is…
Inferring Action from Future Latent State for Robotic Manipulation
arXiv:2608.22067v1 Announce Type: cross Abstract: World-Action Models (WAMs) build robot control on video-generation backbones, which jointly predict…
Improving Energy Efficiency of Oil Platforms Through Optimal Loading of Diesel Generators Using Machine Learning and Search Algorithms
arXiv:2608.22076v1 Announce Type: cross Abstract: Rising energy demand, fossil fuel depletion and climate change highlight the need for more efficient…
India’s Ringg gets backing from Peak XV as it pushes voice AI past the phone call
Ringg has raised $10 million from Peak XV as a part of its Series A extension.
On Predicting Vulnerability Severity Using In-Context Learning: An Industrial Case Study
arXiv:2608.22089v1 Announce Type: cross Abstract: Modern software systems require earlier and more scalable vulnerability severity assessment to reduce…
Multi-Agent Discovery and Resource-Aware Autonomous Exploration of Scientific Datasets
arXiv:2608.22045v1 Announce Type: cross Abstract: Modern scientific facilities and instruments generate datasets at scales that are difficult for…