This week highlights advances in food authenticity research, AI applications in analytical chemistry, REIMS for pork classification, improved GC×GC sensitivity, and greener SFC workflows.

The research was conducted by AI expert André Barcaui of the Federal University of Rio de Janeiro, who ran an experiment with ...

A recent experiment provides evidence that relying on artificial intelligence to help study new material tends to reduce how much information students remember weeks later. The findings suggest that ...

A new study reveals how different synthesis methods can profoundly impact the structure and function of high entropy oxides, a class of materials with applications in everyday electronic devices. A ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Abstract: Label assignment, which aims to classify region proposals as positive or negative samples depending on the correlations between their classification and localization predictions with the ...

This approach of using an interpreter to recursively execute the AST has the benefit of being easy to implement and extend. However, it is very heavy in terms of C++ method calls and Val object ...

In the process of network data processing, protocols within the suite must interact and coordinate across layers. This cross-layer interaction ensures the smooth generation, transmission, reception, ...

Fight back against tech companies that use your work to train their AI systems without your consent. MIT Technology Review’s How To series helps you get things done. Since the start of the generative ...

This article explores the congruence between payer patient assignment and quality performance and the implications for incentive payments in alternative payment models. Objectives: To assess the ...