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.

Graphene has always fascinated scientists and engineers due to its massive strength, conductivity and flexibility. Traditionally, the goal has been to produce perfect graphene sheets with flawless ...

Recent research has found a new way to make graphene that adds structural defects to improve the performance of the material that could have benefits across a range of applications—from sensors and ...

ABSTRACT: Since its independence, Zimbabwe has developed various education systems that address various post-colonial questions. Still, these education systems have been disputed due to their ...

Abstract: As a well-known graph embedding method, Graph Convolutional Networks (GCNs) have been widely applied to recommendation systems and social media analysis, in which privacy concerns regarding ...

Currently, the graph search functionality in mem0 uses a hardcoded system prompt for entity extraction that cannot be customized. This limits users' ability to fine-tune entity extraction for ...

Intuitively, certain channel signals exhibit weaker correlations with other channels compared to the normal state. Based on this insight, we propose an EEG-based epilepsy detection method with graph ...

School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China Advanced Sensor Research Institution, Northeast Electric Power University, Jilin 132012, China School of ...