{"id":4972,"date":"2025-03-11T07:52:10","date_gmt":"2025-03-11T07:52:10","guid":{"rendered":"https:\/\/www.systor.org\/2025\/?page_id=4972"},"modified":"2026-06-05T14:48:37","modified_gmt":"2026-06-05T14:48:37","slug":"isai","status":"publish","type":"page","link":"https:\/\/www.systor.org\/2026\/isai\/","title":{"rendered":"The Israeli Systems & AI Workshop 2026"},"content":{"rendered":"

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ISAI 2026<\/h1>\r\n

The 3rd Israeli Systems & AI Workshop<\/h1>\r\n

September 7, 2026<\/h2>\r\n

Hosted at RedHat Raanana<\/h3>\r\n

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Registration<\/h2>\r\n

ISAI 2026 attendance is free of charge but requires registration<\/a> ahead of time and adhering to our basic code of conduct<\/a>.<\/p>\r\n

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Keynote<\/h2>\r\n

Towards Systems that Autonomously Evolve<\/span><\/strong><\/p>\r\n

Tamar Eilam (IBM)<\/strong><\/em><\/p>\r\n

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Abstract<\/strong>:
The emergent ability of LLMs to reason, hypothesize, experiment, and generate code is forcing us to rethink not just how we develop code, but what we design, and how we continuously evolve entire software systems.<\/p>\r\n

Modern systems are under increasing pressure to meet new requirements driven by a rapidly changing technological landscape such as new model architectures, hardware innovations, and shifting workloads. Yet their improvement remains fundamentally human-mediated, one decision at a time, and therefore largely reactive. At IBM Research we challenged ourselves with a question: can AI become the primary agent of system evolution, so that a deployed system observes its own behavior, hypothesizes improvements, experimentally validates them, and deploys, continuously and at machine speed?<\/p>\r\n

In this talk I will describe the principles we uncovered, the tools we built, and the proof points we obtained across several systems domains: inference serving optimization, accelerator compute kernel generation, and a domain-specific storage system. I will situate this within the fast-evolving academic landscape and conclude with some key open questions.<\/p>\r\n

Bio<\/strong>:
Tamar Eilam received her Ph.D. in Computer Science from the Technion in 2000 and joined the IBM T.J. Watson Research Center as a Research Staff Member that same year. She was named an IBM Fellow in 2014 and currently serves as Chief Scientist for Sustainable Computing. Her main research interest is the use of AI to manage the entire lifecycle of software systems including algorithmic discovery and optimization.<\/p>\r\n

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Program<\/h2>\r\n

To be revealed closer to the event.<\/p>\r\n

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Venue<\/h2>\r\n

RedHat Raanana is a convenient 5 min walk from the train station.<\/p>\r\n

8 Hapnina St. Raanana, Infinity Tower, 15th floor<\/p>\r\n