AI summarization method is far faster at choosing training examples
An arXiv preprint tests LOBSTER for active-learning summarization, finding major selection-speed gains but mixed quality results across benchmark datasets.
An arXiv preprint tests LOBSTER for active-learning summarization, finding major selection-speed gains but mixed quality results across benchmark datasets.
A preprint reports four satellite-derived maize stress stages linked with soil moisture, while warning that farm and yield benefits remain untested.
A preprint finds a molecular AI model transfers across odor benchmarks but struggles to predict which mirror-image molecule smells different.
A preprint finds SCROLL-MT tracked changing forecast variance in Lorenz tests, while a Beijing PM2.5 series favored a simpler covariance model.
A preprint reports stronger time-series attribution and counterfactual results from TimeX++, a framework trained with one shared objective.
Quick and simple tips to help you write better agent instructions
This oMLX review audits the 90s to 5s agent latency claim, shows where wait time goes on Apple Silicon, and gives you a benchmark to run on your Mac.
A preprint uses inverse modeling to link structural color to local rings and pores, while showing that the biological match is not unique.
A preprint describes a quantum-inspired model that learns shifting freeway-driving profiles from trajectory data and tests short-term speed forecasts.
A preprint reports near-matching Python scores for stateless offline models and a shared SystemC-AMS interface for online and offline model backends.
A preprint tests an optical-line model for AGN sulphur and finds higher total abundances, while LINER results shift with the assumed ionising spectrum.
A preprint models active-particle currents across time scales, finding shifting fluctuation regimes and long-lasting memory of initial conditions.