Guest Post: A Decade of Open Data in Research — Real Change or Slow Moving Compliance?
Mark Hahnel looks at the progress that’s been made toward open research data — what’s been achieved, what still needs work, and what happens next?
Mark Hahnel looks at the progress that’s been made toward open research data — what’s been achieved, what still needs work, and what happens next?
A report from the 9th annual BioASQ workshop discussing the ongoing development and future of AI-based tools.
Minhaj Rais looks at possible solutions for beneficial data mining activities that don’t infringe on user privacy.
Today we feature an interview with Darrell W. Gunter, the editor of a new book on Transforming Scholarly Publishing With Blockchain Technologies and AI.
A look at BioASQ — an annual competition to develop AI systems to help drive medical progress.
Judy Luther looks back at the waves of change that have reshaped our industry. Looking ahead, the next big wave is to use analytics and AI as we complete the transition to open content.
Are you a robot? Are you sure? Prove it.
Susan Chavez and Chloe Fells detail the career advice learned from a recent SSP event.
From Siri to autonomous vehicles, the magic of tech innovations are wrought by human ingenuity — and setting boundaries around these technologies is a social enterprise, with inherently cultural implications.
What if you used a computer to generate every possible song and then put it in the public domain? Damien Riehl and Noah Rubin did just that.
Todd Carpenter reports on a forum hosted by WIPO and the Copyright Office that focused on whether copyright can apply to the works created by artificial intelligence systems.
Artificial intelligence tools are used on a historical piece of footage to great effect.
An interview with Xiao-Li Meng, Professor of Statistics at Harvard University, about the increasingly central role data science is playing in research and teaching, – and how journals, publishers, societies, and librarians fit in this emerging ecosystem.
A reflection on the increasing rate of change in the technology space, enabled by the commoditization of compute capability and what the implications are for the world of scholarly publishing
Do I really have to read all of that essay or monograph? Can’t artificial intelligence do the heavy lifting for me?