Cactus Communications’ Nishchay Shah explains why academic publishing needs purpose-built AI, how Paperpal is tackling research integrity and peer review, and where India’s domain-specific AI opportun ...

Breaking new science reveals how a specific fiber can decrease liver fat synthesis, increase fat burning, and even turn sugar ...

And Schafmeister isn’t the only chemist turning to modular methods of synthesis to explore vast regions of chemical space. It ...

Grey literature, defined as evidence ‘not controlled by commercial publishers’, can enhance the comprehensiveness, timeliness ...

1 Graduate School, Youjiang Medical University for Nationalities, Baise, China. 2 Hechi Hospital Affiliated to Youjiang Medical University for Nationalities, Hechi, China. Although PCI can effectively ...

Sample papers were selected based on study design, intervention details, and strategies. The strategies were identified and categorized based on the principles of Behavior Change Techniques and ...

Abstract: In this paper, we present an example-based system for terrain synthesis. In our approach, patches from a sample terrain (represented by a height field) are used to generate a new terrain.

On the occasion of receiving the most influential test-of-time paper award for his POPL 2011 paper (which describes the technology behind the popular Flash Fill feature in Excel), Sumit shares stories ...

MXenes (pronounced like the name "Maxine") are a class of two-dimensional materials, first identified just 14 years ago, with remarkable potential for energy storage, catalysts, ultrastrong ...

What is most remarkable about the technique is the relation between the triviality of the grain (heard alone it is the merest click or 'point' of sound) and the richness of the layered granular ...

Official PyTorch implementation of the ICLR 2021 paper "You Only Need Adversarial Supervision for Semantic Image Synthesis". An extended version of the paper has been ...

Systematic reviews are built on the principles of rigor, transparency, and replicability. However, many current AI solutions don’t meet these principles. This risks a surge in unreliable, biased and ...