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Ben-Gurion U and Fujitsu to conduct joint research on AI and machine learning 

By Jesse Schwartz
Published: November 22nd, 2021

Fujitsu Limited and BGN Technologies, the tech transfer arm of Ben-Gurion University of the Negev (BGU), have signed a three-year joint research agreement to develop artificial intelligence and machine learning technologies.

The pair have just established the Fujitsu Cybersecurity Center of Excellence in Israel (Fujitsu CCoE IL), hosting a team of approximately 20 researchers headed by Prof. Yuval Elovici, who also leads BGU’s Cyber Security Research Center.

Fujitsu, a Japanese multinational information and communications technology company, will work with BGU researchers to accelerate technologies that improve the trustworthiness and security of AI-based systems and software that increasingly impact our daily lives.

Vivek Mahajan, Fujitsu’s CTO, says the company expects the new center “will yield a variety of promising new security technologies for AI, and I look forward to a fruitful partnership with Ben-Gurion University as we work in tandem to resolve some of the challenges facing our increasingly digitized society.”

Elovici noted that the joint research efforts “can make systems that are based on AI more robust to attacks that focus on the AI component.”

“This joint strategic research collaboration is a testament to Ben-Gurion University’s leadership in the cybersecurity space,” added Josh Peleg, CEO, BGN Technologies. “The multi-year collaboration will improve AI security and help create a safer world while strengthening the university’s positioning as a global player in the AI, machine learning, and cybersecurity arenas.”

As AI and machine learning continue to expand, the need to improve AI security represents a major challenge. Hostile entities use increasingly sophisticated techniques to threaten critical infrastructure and systems by stealing and leaking confidential information contained in AI datasets. The center plans to address these issues through research on AI security to detect such attacks, protect against adversarial access to AI systems, and to make the models more robust against attacks.

Source: Fujitsu

Posted under: University-Industry Engagement Week

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