It is the subfield of computer science that focuses on creating systems capable of intelligent behavior, including problem solving, learning, adaptation, perception, and language understanding.
The study focuses on using deep learning to predict breast cancer subtypes and biomarker levels. Four biomarkers – Estrogen Receptor (ER), Progesterone Receptor (PR), HER2, and Ki67 – are used…
Continue readingThis study explores how AI-generated digital self-clones can enhance online presentation skills. Conducted on 44 international students, the study compared self-recorded videos with AI self-clone videos for English presentation practice….
Continue readingThis academic article presents a compressed sensing (CS) setup for the reconstruction of Generative Sparse-Latent (GSL) signals, which are generated by a neural network excited by a sparse-latent input signal….
Continue readingThe article proposes a novel method, BRANCH-SOLVE-MERGE (BSM), to enhance the performance of Large Language Models (LLMs) in handling intricate language tasks. BSM comprises three modules – ‘branch’, ‘solve’, and…
Continue readingThe paper discusses the vulnerability of Large Language Models (LLMs) to jailbreak attacks that deviate them from safe behaviors, producing content misaligned with human values. The authors introduce an interpretable…
Continue readingThe paper introduces ROBOFUME, a system that allows robots to learn new tasks autonomously with minimal human intervention. The system pre-trains a multi-task manipulation policy using diverse datasets, and then…
Continue readingThe research investigates how the deep learning model, BERT, conjugates verbs. It shows that BERT’s ability to conjugate verbs is determined by a linear encoding of subject number. This encoding…
Continue readingThis study investigates the representation of sentiment in Large Language Models (LLMs). It reveals that sentiment is represented linearly in a single direction within these models, playing a vital role…
Continue readingThe article presents LINC, a neurosymbolic approach for logical reasoning in artificial intelligence. LINC combines Large Language Models (LLMs) with first-order logic provers. In this method, the LLM acts as…
Continue readingThe article presents an extensive review of Federated Learning (FL) as applied to visual recognition, emphasizing the importance of thoughtful architectural design in achieving optimal performance. The authors argue that…
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