Given a number of stochastic systems, we consider an ordinal optimization problem to find an optimal allocation of a finite sampling budget, which maximizes the likelihood of selecting the "best" ...

Sparse generalized linear model is useful in many fields. In the research, the researchers will learn sparse generalized linear model using different algorithms. The paper determines the better ...

By reanalyzing synthetic gene array datasets regarding single and double-knockout yeast mutants, and considering two theoretical models of cell growth, the authors reach the valuable conclusion that ...

Researchers have developed a gene therapy that significantly slowed motor function loss in preclinical models of amyotrophic lateral sclerosis (ALS), offering new hope for treating the devastating ...

Oligodendrocytes are key non-neuronal cells that are generated from oligodendrocyte progenitor cells (OPCs). OPCs migrate thought out the CNS and mature into oligodendrocytes via a well-controlled and ...

MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and tasks.

Leading AI models are showing a troubling tendency to opt for unethical means to pursue their goals or ensure their existence, according to Anthropic. In experiments set up to leave AI models few ...