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Saudi workforce confidence redefines the future of work - Saudi Gazette

Saudi Gazette · Feb 24

A recent survey by Oxford Economics and Oracle indicates that Saudi Arabian workers are highly confident in using AI to enhance their skills and careers. 86% of Saudi respondents believe AI will have a positive impact on their jobs, and 84% are ready to learn new skills to work with AI. This reflects a strong embrace of AI in the Saudi workforce and a willingness to adapt to evolving job roles. Why it matters: This positive sentiment suggests Saudi Arabia is well-positioned to integrate AI into its economy and workforce as part of its Vision 2030 goals.

Discrete and Continuous Submodular Bandits with Full Bandit Feedback

MBZUAI · Invalid Date

Vaneet Aggarwal from Purdue University presented new research on discrete and continuous submodular bandits with full bandit feedback. The research introduces a framework transforming discrete offline approximation algorithms into sublinear α-regret methods using bandit feedback. Additionally, it introduces a unified approach for maximizing continuous DR-submodular functions, accommodating various settings and oracle access types. Why it matters: This research provides new methods for optimization under uncertainty, which is crucial for real-world AI applications in the region, such as resource allocation and automated decision-making.