University of Haifa Hosts First HiAI Conference

Join the inaugural University of Haifa Artificial Intelligence conference to explore groundbreaking research.

The University of Haifa is set to host its first-ever Artificial Intelligence conference, known as HiAI, from May 25-27, 2025. This event, to be held in-person on the Carmel campus, promises to showcase cutting-edge and unique research breakthroughs in the field of Artificial Intelligence. Participants will have the opportunity to engage with the latest innovations developed by both university researchers and students.

Organized by the University of Haifa´s Data Science Research Center, the conference aims to foster significant networking opportunities and collaborations among experts from academia and industry. The university´s Data Science Research Center is dedicated to promoting data science research to benefit both society and the environment. Their commitment underscores the conference´s objective to highlight innovative research that has practical implications.

Keynote speakers at the conference will include prominent figures from the Artificial Intelligence community, such as Hod Lipson from Columbia University, Mor Naaman from Cornell Tech, and Tanya Berger-Wolf from The Ohio State University. These speakers bring diverse experiences and insights to the field of data science and engineering, further enhancing the conference´s agenda.

50

Impact Score

Nvidia to sell fully integrated Artificial Intelligence servers

A report picked up on Tom’s Hardware and discussed on Hacker News says Nvidia is preparing to sell fully built rack and tray assemblies that include Vera CPUs, Rubin GPUs and integrated cooling, moving beyond supplying only GPUs and components for Artificial Intelligence workloads.

Navigating new age verification laws for game developers

Governments in the UK, European Union, the United States of America and elsewhere are imposing stricter age verification rules that affect game content, social features and personalization systems. Developers must adopt proportionate age-assurance measures such as ID checks, credit card verification or Artificial Intelligence age estimation to avoid fines, bans and reputational harm.

Large language models require a new form of oversight: capability-based monitoring

The paper proposes capability-based monitoring for large language models in healthcare, organizing oversight around shared capabilities such as summarization, reasoning, translation, and safety guardrails. The authors argue this approach is more scalable than task-based monitoring inherited from traditional machine learning and can reveal systemic weaknesses and emergent behaviors across tasks.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.