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DL4Proteins Notebook Series Bridging Machine Learning and Protein Engineering: A Practical Guide to Deep Learning Tools for Protein Design

Marktechpost

With topics ranging from neural networks to graph models, these open-source notebooks enable hands-on learning and bridge the gap between research and education. The notebook “ Neural Networks with NumPy ” introduces the foundational concepts of neural networks and demonstrates their implementation using NumPy.

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SQuARE: Towards Multi-Domain and Few-Shot Collaborating Question Answering Agents

ODSC - Open Data Science

Moreover, combining expert agents is an immensely easier task to learn by neural networks than end-to-end QA. Iryna is co-director of the NLP program within ELLIS, a European network of excellence in machine learning. She is currently the president of the Association of Computational Linguistics. Euro) in 2021.

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Meet the Fellow: Shauli Ravfogel

NYU Center for Data Science

He brings a wealth of experience in natural language processing, representation learning, and the analysis and interpretability of neural models. Ravfogel holds a BSc in both Computer Science and Chemistry from Bar-Ilan University, as well as an MSc in Computer Science from the same institution. By Stephen Thomas

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CDS Faculty Member Tim G.

NYU Center for Data Science

The paper will be presented at the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL2025). The funding will support both computational resources for working with frontier AI models and personnel to assist with Rudners research.

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Best Large Language Models & Frameworks of 2023

AssemblyAI

These feats of computational linguistics have redefined our understanding of machine-human interactions and paved the way for brand-new digital solutions and communications. They use neural networks that are inspired by the structure and function of the human brain. How Do Large Language Models Work?

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NLP Landscape: Switzerland

NLP People

It’s Institute of Computational Linguistics , which includes the Phonetics Laboratory , lead by Martin Volk and Volker Dellwo, as well as the URPP Language and Space perform research in NLP topics, such as machine translation, sentiment analysis, speech recognition and dialect detection.

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Linguistics-aware In-context Learning with Data Augmentation (LaiDA): An AI Framework for Enhanced Metaphor Components Identification in NLP Tasks

Marktechpost

Given the intricate nature of metaphors and their reliance on context and background knowledge, MCI presents a unique challenge in computational linguistics. Neural network models based on word embeddings and sequence models have shown promise in enhancing metaphor recognition capabilities.

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