馃敩 Research Summary by聽Marko Vidrih, an experienced researcher and QA engineer specializing in applying Generative AI and deep learning frameworks in tech companies. [Original paper by Marko Vidrih and聽Shiva … [Read more...] about Generative AI-Driven Storytelling: A New Era for Marketing
Emerging Technology
The E.U.鈥檚 Artificial Intelligence Act: An Ordoliberal Assessment
馃敩 Research Summary by聽Manuel W枚rsd枚rfer, an Assistant Professor of Management and Computing Ethics at the Maine Business School and School of Computing and Information Science at the University of … [Read more...] about The E.U.鈥檚 Artificial Intelligence Act: An Ordoliberal Assessment
Experimenting with Zero-Knowledge Proofs of Training
馃敩 Research Summary by Guru Vamsi Policharla, a computer science PhD student at UC Berkeley. [Original paper by Sanjam Garg, Aarushi Goel, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Guru-Vamsi … [Read more...] about Experimenting with Zero-Knowledge Proofs of Training
Should you make your decisions on a WhIM? Data-driven decision-making using a What-If Machine for Evaluation of Hypothetical Scenarios
馃敩 Research Summary by Jessica Echterhoff, a Ph.D. candidate in computer science at the University of California in San Diego. Her research focuses on human-data-centric artificial intelligence. [Original paper by … [Read more...] about Should you make your decisions on a WhIM? Data-driven decision-making using a What-If Machine for Evaluation of Hypothetical Scenarios
The Grand Illusion: The Myth of Software Portability and Implications for ML Progress
馃敩 Research Summary by Fraser Mince, an independent machine learning researcher and a Senior Software Engineer at Waymark. [Original paper by Fraser Mince, Dzung Dinh, Jonas Kgomo, Neil Thompson, and Sara … [Read more...] about The Grand Illusion: The Myth of Software Portability and Implications for ML Progress