由对抗样本发现的神经网络敏感性（理论背景包括决策边界的不连续性等），正是可重编程性的基础。我们不再将这种敏感性仅视为安全缺陷，而是建设性地利用它，在不重新训练的情况下将预训练模型重定向到新的任务。精心设计的 program/prompt 可以将神经网络感知的弱点转化为高效的适配机制。

Predicting tumor progression is one of the major challenges in oncology. Scientists at the University of Geneva (UNIGE) and the Ludwig Institute for Cancer Research have discovered that neutrophils, a ...

A new way of reprogramming our immune cells to shrink or kill off cancer cells has been shown to work in the otherwise hard to treat and devastating skin cancer, melanoma. The discovery demonstrates a ...

A team led by researchers has discovered that a group of cells located in the skin and other areas of the body, called neural crest stem cells, are the source of reprogrammed neurons found by other ...

The capacity of an organism to regenerate depends on cell dedifferentiation followed by proliferation. Mammals, in general, have limited regenerative capacity. Now, a team of researchers at the Salk ...

Stimulating a key metabolic pathway in T cells can make them work more effectively against tumors when combined with immune checkpoint inhibitor therapy, according to a preclinical study led by ...

Most tissues in the body can regenerate themselves after an injury, but unfortunately heart muscle cells aren’t one of them. Now, scientists at the Max Planck Institute have shown in mice that ...