Antonio Rojas Castro
@antoniorojascastro.bsky.social
Research Associate | https://arojascastro.github.io/
Reposted by Antonio Rojas Castro
With papers by Matthew Driscoll & Alessandro Gnasso; Stefan Rosmer & David M. Weigl; Nieves Pena Sueiro & Carlota Fernández Travieso; Roberto Rosselli Del Turco; Antonio Rojas Castro; José Manuel Fradejas Rueda & Mario Cossío Olavide; James Cummings.
December 1, 2025 at 12:34 PM
With papers by Matthew Driscoll & Alessandro Gnasso; Stefan Rosmer & David M. Weigl; Nieves Pena Sueiro & Carlota Fernández Travieso; Roberto Rosselli Del Turco; Antonio Rojas Castro; José Manuel Fradejas Rueda & Mario Cossío Olavide; James Cummings.
On a happier note, Allison Keith and I are presenting tomorrow our progress on applying machine learning and network analysis to "gracioso" characters in Calderón de la Barca's plays.
September 23, 2025 at 4:31 PM
On a happier note, Allison Keith and I are presenting tomorrow our progress on applying machine learning and network analysis to "gracioso" characters in Calderón de la Barca's plays.
Reposted by Antonio Rojas Castro
Want to explore training materials from CLS INFRA? Visit campus.dariah.eu and search for “CLS INFRA” to access resources on data annotation, network analysis, and more in computational literary studies.
@dariaheu.bsky.social #CLSINFRA #DigitalHumanities #OpenEducation
@dariaheu.bsky.social #CLSINFRA #DigitalHumanities #OpenEducation
DARIAH-Campus
Discovery layer and hosting platform for DARIAH learning resources.
campus.dariah.eu
September 5, 2025 at 10:51 AM
Want to explore training materials from CLS INFRA? Visit campus.dariah.eu and search for “CLS INFRA” to access resources on data annotation, network analysis, and more in computational literary studies.
@dariaheu.bsky.social #CLSINFRA #DigitalHumanities #OpenEducation
@dariaheu.bsky.social #CLSINFRA #DigitalHumanities #OpenEducation
Reposted by Antonio Rojas Castro
The gains from productivity improvements haven't been shared since the 1970s... ☹️
August 31, 2025 at 11:16 AM
The gains from productivity improvements haven't been shared since the 1970s... ☹️
"deep neural networks suffer from inherent brittleness: they struggle to generalise beyond their training data, fail at basic reasoning tasks, and remain unreliable for applications requiring consistency or accuracy."
August 26, 2025 at 11:45 AM
"deep neural networks suffer from inherent brittleness: they struggle to generalise beyond their training data, fail at basic reasoning tasks, and remain unreliable for applications requiring consistency or accuracy."