A I is everywhere. From the massive popularity of ChatGPT to Google cramming AI summaries at the top of its search results, ...

Overconfidence about uncertainty is so extreme among US and NATO national security officials, it can cancel out what they ...

Automated test equipment market is pivoting from speed-centric instruments toward cloud-anchored, AI-driven, mixed-signal platforms that handle 6G, E ...

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

When ChatGPT or Gemini give what seems to be an expert response to your burning questions, you may not realize how much ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

Antibody–siRNA conjugates (ARCs) are a type of promising drug modalities for cancer therapy. However, initial reports of ARCs present the gene knockdown effect only in limited tissues (e.g., muscles) ...

The authors provide solid evidence of its utility by benchmarking multiple demultiplexing methods and proposing a new variant consistency metric. While the tool is valuable for guiding method ...

In this paper, the paradigm of the traditional iterative decoding schemes for the uplink large-scale MIMO detection is extended by sampling in an Markov chain Monte Carlo (MCMC) way. Different from ...

Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...

We reformulate a deterministic optimization problem as a filtering problem, where the goal is to compute the conditional distribution of the unobserved state given the observation history. We prove ...