Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency.

Over the past 25 to 30 years, agile innovation methods have greatly increased success rates in software development, improved quality and speed to market, and boosted the motivation and ...

Current large-scale implementations of deep learning and data mining require thousands of processors, massive amounts of off-chip memory, and consume gigajoules of energy. New memory technologies, ...

In our research, we have introduced and implemented a new software development method, testing before coding (TBC), to bring in the benefits of using software development lifecycle in computer ...

glmnet — Lasso and Elastic-Net Regularized Generalized Linear Models. Homepage: https://glmnet.stanford.edu ... for survival modeling, allowing for (start, stop) data, strata, and sparse X inputs. It ...

Self-powered catalytic micromotors that swim through a fluid by harvesting energy from their environment have received increasing attention because of their potential applications in nanomachinery, ...

2025/06/17: Use this repo for YOLOv12 instead of ultralytics.Their implementation is inefficient, requires more memory, and has unstable training, which are fixed here! 2025/06/04: YOLOv12's instance ...