Bayesian inference is a statistical method of inductive reasoning based on the reassessment of competing hypotheses in the presence of new evidence. Conceptually similar to the scientific method ...

人工智能的应用在物理学领域已日益普遍，但物理学能否反过来助力人工智能呢？塔拉·希尔斯（Tara Shears）在英国物理学会（Institute of Physics）的一项调查与报告发布后，审视了这两个领域之间的关系。双向道: ...

Beyond firewalls and perimeter security, a zero trust architecture allows security officials to better protect data and system access to both outsider and insider threats, adopting a mantra of “trust ...

Disease combinations are often unique – anonymization of health data is therefore particularly complex. An interview on ...

据了解，“贝叶斯神经网络”的理论基础来自广义相对论和磁流体动力学，特别适合处理背景噪声大、数据不完整或者观测条件复杂的任务，能够从复杂的观测信号中准确地识别出黑洞物理参数的可信区间，在其帮助之下，科学家发现了银心黑洞有两个引人注目的特点。

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

Many are fiddling their body mass index on online pharmacy sites to qualify for medicines, or microdosing to shift a few ...

This article explores how AI-augmented laboratories optimize high-throughput experimentation and improve efficiency in ...

Spain: Researchers have found in a new study that sodium-glucose cotransporter-2 (SGLT-2) inhibitors have a neutral effect on ...

In one of the largest analyses conducted so far on ovarian stimulation strategies, researchers have reported that the gonadotropin-releasing hormone (GnRH) antagonist protocol results in significantly ...

Working from home by day, gaming and streaming by night? Defeating Wi-Fi dead zones is more important than ever. A mesh network system can help, and these are the best we've tested. I’ve been working ...

The World Federation of Exchanges (“The WFE”), the global industry group for exchanges and CCPs, has opened applications for ...