Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

Data Preprocessing Steps for IDC Dataset. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…This work explores the capability of deep learning to extract characteristics from histopathology photos of breast cancer. …”

Learning curve of STEP as performed by the early career surgeon. by Yoshiro Imai (11492315)

Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

Overview of the WeARTolerance program. by Ana Beato (20489933)

“…The quantitative results from Phase 1 demonstrated a decreasing trend in all primary outcomes. In phase 2, participants acknowledged the activities’ relevance, reported overall satisfaction with the program, and showed great enthusiasm and willingness to learn more. …”

Flow Chart of the Study Steps. by Azam Hosseinpour (13434515)

Decrease in loss during the training process. by Muhammad Idrees (92773)

The impact of different diffusion model time steps on the model. by Weijia Zhu (65481)

<b>Aversive learning decreases aversive-reinforcer sensitivity</b><b> </b><b>in honey bees</b> by Martin GIURFA (8649351)

Time step optimization can greatly improve the efficiency of training and inference. by Weijia Zhu (65481)

RMSE versus learning rate. by Zhe Hu (787283)

Perceptual inference and learning of naturalistic images. by Kwangjun Lee (22226994)

Interaction plot with 95% confidence intervals generated from the GAM regression model 1 in Table 2 examining initial ED SBP and management group interactions. by Randeep S. Jawa (20489181)

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

Machine Learning Models for High Explosive Crystal Density and Performance by Jack V. Davis (9175514)

“…Using these values, we trained machine learning models for the prediction of density, detonation velocity and detonation pressure. …”

Analysis of errors of the AI model on accuracy and decision times for different tasks during the retrospective reader study. (a) by Kerol Djoumessi (21349992)

Predicting Dinitrogen Activation and Coupling with Carbon Dioxide and Other Small Molecules by Methyleneborane: A Combined DFT and Machine Learning Study by Feiying You (22119041)

“…Machine learning analysis suggests that increasing the HOMO–LUMO gap or the charge on the boron atom or decreasing the charge of the nitrogen atom will reduce the reaction energies. …”

Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)