Samer Nour Eddine
@samer-noureddine.bsky.social
Postdoctoral Researcher at the Language Science Center at University of Maryland, College Park
he/him
www.samernoureddine.com
he/him
www.samernoureddine.com
Reposted by Samer Nour Eddine
An excellent example of AI bias and how it stands to influence thought & media production.
This is a GenAI tool in YT Studio to help creators get ideas for videos based on previous content. It gave me "The Future of Work: Automation and Human Purpose," which I expected to be totally different 🧵
This is a GenAI tool in YT Studio to help creators get ideas for videos based on previous content. It gave me "The Future of Work: Automation and Human Purpose," which I expected to be totally different 🧵
November 14, 2025 at 7:02 PM
An excellent example of AI bias and how it stands to influence thought & media production.
This is a GenAI tool in YT Studio to help creators get ideas for videos based on previous content. It gave me "The Future of Work: Automation and Human Purpose," which I expected to be totally different 🧵
This is a GenAI tool in YT Studio to help creators get ideas for videos based on previous content. It gave me "The Future of Work: Automation and Human Purpose," which I expected to be totally different 🧵
Reposted by Samer Nour Eddine
Seeking students — especially Canadian residents, who are less expensive, but all applicants welcome — to study the computational and neural underpinnings of rhythm perception and production! Reach out with questions or interest at cannoj9@mcmaster.ca.
September 21, 2025 at 3:25 PM
Seeking students — especially Canadian residents, who are less expensive, but all applicants welcome — to study the computational and neural underpinnings of rhythm perception and production! Reach out with questions or interest at cannoj9@mcmaster.ca.
Reposted by Samer Nour Eddine
"LMCompress shatters all previous lossless compression records on four media types: text, images, video and audio."
www.nature.com/articles/s42...
www.nature.com/articles/s42...
Lossless data compression by large models - Nature Machine Intelligence
Effective lossless compression requires that frequent patterns in the data can be identified. Li et al. explore using deep learning models to more effectively compress text, audio and video data.
www.nature.com
May 3, 2025 at 2:19 PM
"LMCompress shatters all previous lossless compression records on four media types: text, images, video and audio."
www.nature.com/articles/s42...
www.nature.com/articles/s42...
Reposted by Samer Nour Eddine
Very happy to share a preprint from the final project of my PhD with @liinapy.bsky.social!
Reading ahead: localized neural signatures of parafoveal word processing and skipping decisions
www.biorxiv.org/content/10.1...
Reading ahead: localized neural signatures of parafoveal word processing and skipping decisions
www.biorxiv.org/content/10.1...
Reading ahead: Localized neural signatures of parafoveal word processing and skipping decisions
Visual reading proceeds fixation-by-fixation, with individual words recognized and integrated into evolving conceptual representations within only hundreds of milliseconds. This relies, in part, on in...
www.biorxiv.org
April 28, 2025 at 12:19 PM
Very happy to share a preprint from the final project of my PhD with @liinapy.bsky.social!
Reading ahead: localized neural signatures of parafoveal word processing and skipping decisions
www.biorxiv.org/content/10.1...
Reading ahead: localized neural signatures of parafoveal word processing and skipping decisions
www.biorxiv.org/content/10.1...