Prompting Large Language Models to Power Educational Chatbots

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This article reports on the current state of the OBI DICT project, a bilingual e-dictionary of oracle-bone inscriptions (OBI), incorporating artificial intelligence (AI) image recognition technology. It first provides a brief overview of the development of ...

A reversible photo-electrochemical device operating under concentrated irradiation could offer a stand-alone solution for producing solar fuel (in photo-driven electrolysis mode) and power (in fuel cell mode). This strategy would present the advantage of h ...

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High-level waste, stemming from nuclear electricity generation poses significant environmental and safety concerns. Currently, high-level wastes are stored in interim facilities needing constant monitoring and waiting for a definitive solution. Deep geolog ...

Large language models (LLMs) have shown strong performance in tasks across domains but struggle with chemistry-related problems. These models also lack access to external knowledge sources, limiting their usefulness in scientific applications. We introduce ...

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Objective. Selective neuromodulation of deep brain regions has for a long time only been possible through invasive approaches, because of the steep depth-focality trade-off of conventional non-invasive brain stimulation (NIBS) techniques. Approach. An appr ...

Prompting Large Language Models to Power Educational Chatbots

Chat with Graph Search

The Current State of the OBI DICT Project: A Bilingual e-Dictionary of Oracle-Bone Inscriptions with AI Image Recognition

Reversible photo-electrochemical device for solar hydrogen and power generation

Secure Interface Design Leveraging Hardware/Software Support

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Generative AI-Enabled Conversational Interaction to Support Self-Directed Learning Experiences in Transversal Computational Thinking

Biases in Information Selection and Processing: Survey Evidence from the Pandemic

Flood, farms and credit: The role of branch banking in the era of climate change

A FEM modelling workflow to simulate THM effects in the rock around nuclear waste packages

Augmenting large language models with chemistry tools

Machine learning-aided generative molecular design

Investigating neural resource allocation in the sensorimotor control of extra limbs

GELEX: Generative AI-Hybrid System for Example-Based Learning

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

Driving and suppressing the human language network using large language models

Efficacy and safety of transcranial direct current stimulation to the ipsilesional motor cortex in subacute stroke (NETS): a multicenter, randomized, double-blind, placebo-controlled trial

Random matrix methods for high-dimensional machine learning models

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

The multimodality cell segmentation challenge: toward universal solutions

Performing and Detecting Backdoor Attacks on Face Recognition Algorithms

Safety, tolerability and blinding efficiency of non-invasive deep transcranial temporal interference stimulation: first experience from more than 250 sessions