New research has discovered that the molecular machines responsible for copying our DNA have a surprising hidden talent – an ability to create entirely new and highly sophisticated DNA sequences from scratch.

Measuring low-frequency electric fields remains difficult when traceability, small size, and vector resolution are all required at the same time. A team at Nanyang Technological University, Singapore, proposed a sensing scheme based on a Rydberg dipolar atom chain, where the external field is reflected in angle-dependent many-body interactions. With readouts in the time, energy, and frequency domains, the work suggests a feasible way to realize compact and vector-resolved sensing of low-frequency electric fields.

A University of Manchester Professor has been appointed by  Lord Vallance, Minister of State for Science, Innovation, Research and Nuclear, as an Expert Reviewer for an independent assessment of the Nuclear Decommissioning Authority (NDA);  an executive non-departmental public body that is charged with, on behalf of government, the mission to clean-up the UK’s earliest nuclear sites safely, securely and cost effectively.

Beijing, China — Researchers from Beijing Institute of Technology and other leading institutions have developed a novel approach for improving Multi-Hop Question Answering (MHQA) tasks, which require models to reason over multiple relevant facts to answer complex questions. The new method, called CausalBridgeQA, integrates causal inference into the MHQA process to address persistent issues of reasoning breakdowns and feature spurious correlations, which are common challenges in current models.

Data is often referred to as the new oil of the digital economy, representing a highly valuable and untapped asset. To fully realize the potential of spatial data, various spatial data marketplace platforms have emerged. The existing spatial data marketplaces primarily focus on recommending each dataset individually. There is a lack of consideration for cases where an individual dataset cannot satisfy the buyer’s needs such that a collection of datasets needs to be acquired.

Researchers from BUPT introduce the RFGDG framework,utilizing RL to dynamically optimize graph generalization in federated settings.