Remove AI Remove Computational Linguistics Remove Neural Network
article thumbnail

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.

article thumbnail

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.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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. Prior to joining NYU, Ravfogel gained valuable industry experience through internships at Google Research Israel and the Allen Institute for AI. By Stephen Thomas

article thumbnail

CDS Faculty Member Tim G.

NYU Center for Data Science

This fundamental challenge in AI reliability motivated CDS faculty member Tim G. Rudner to develop new approaches for helping AI systems estimate their own uncertainty. The paper will be presented at the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL2025).

article thumbnail

Best Large Language Models & Frameworks of 2023

AssemblyAI

Few technological advancements have captured the imagination, curiosity, and application of experts and businesses quite like artificial intelligence (AI). However, among all the modern-day AI innovations, one breakthrough has the potential to make the most impact: large language models (LLMs). How Do Large Language Models Work?

article thumbnail

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.

NLP 62
article thumbnail

NLP Landscape: Switzerland

NLP People

Switzerland is no exception: with its unique linguistique diversity, its central location within Europe and as host to some of the world’s best universities and top AI companies, the country offers an ideal environment for the field to thrive. Gallen The University of St.

NLP 52