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Spotlight on Supratik Mukhopadhyay of LSU
In this AI Alliance member spotlight we meet Supratic Mukhopadhyay of LSU
In this AI Alliance member spotlight we meet Supratic Mukhopadhyay of LSU
The AI Alliance is proud to announce the Trust and Safety Evaluations Initiative (TSEI) at the Artificial Intelligence Action Summit in Paris.
The AI Alliance is proud to announce the Open Trusted Data Initiative (OTDI) at the Artificial Intelligence Action Summit in Paris.
We conducted a survey with 100 AI Alliance members to learn about the state of open source AI trust and safety for 2024. This blog post highlights key findings on AI applications, model popularity, safety concerns, regulatory focus, and gaps in current safety practices, while also providing an overview of notable open-source projects, tools, and research in the field of AI trust and safety.
The AI Alliance launched last December with a mission to build, enable, and advocate for open innovation in AI globally. We’re well on our way!
Central to the AI Alliance’s mission of open innovation of AI, the NAIRR would support the expansion of resources to democratize AI research, enabling a diversity of perspectives in AI development and fostering an ecosystem that supports both scientific rigor and economic growth.
arXiv: DANA: Domain-Aware Neurosymbolic Agents for Consistency & Accuracy
Open-Source Implementation:OpenSSA framework for Small Specialist Agents
As part of the Open Trusted Data Initiative, Pleias is releasing Common Corpus, the largest open and permissibly licenced dataset for training LLMs, at over 2 trillion tokens.
In this AI Alliance member spotlight we meet Raphaël Vienne, Head of AI at datacraft.
In this AI Alliance member spotlight we meet Roberto Trotta, Professor of Theoretical Physics and Head of Data Science at SISSA, Trieste
UNESCO, Meta, and Hugging Face launch an online Language Translator as part of United Nations General Assembly week, when leaders from around the world meet to discuss the world’s most pressing challenges.
Please join us on Wednesday, October 30, 2024 at Boston University’s Center for Computing & Data Sciences for the AI for Drug Discovery Open Innovation Forum.