A type of artificial intelligence that focuses on designing systems that can learn from and make decisions based on data.
This article investigates the use of both verbal and non-verbal cues in device-directed speech detection (DDSD), a system that distinguishes between queries directed at a voice assistant and background speech….
Continue readingThis research introduces dynamic Convolutional Neural Networks (CNNs) that outperform traditional efficient CNNs and Transformers in terms of the performance complexity trade-off and parameter efficiency. These dynamic CNNs are constructed…
Continue readingThe article discusses the limitations of Differentiable Architecture Search (DAS) in the field of Neural Architecture Search (NAS). DAS has been prominent due to its time-efficient automation of neural network…
Continue readingThe study presents a novel 1D deep learning tool, CaReNet-V1, for breast cancer subtype evaluation and biochemical content evaluation using micro-FTIR hyperspectral images. The tool effectively classified cancer and adjacent…
Continue readingThe 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 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…
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