Saudi Arabia is establishing a new policy framework designed to facilitate the monetization of data within the Kingdom. This framework explicitly prohibits the sale of raw data, encouraging value-added data services instead. The initiative aims to foster a robust data economy while ensuring responsible data governance. Why it matters: This policy is a crucial step in shaping Saudi Arabia's digital economy and AI development, balancing economic growth with data privacy and ethical considerations.
KAUST startup Polymeron is converting date and poultry waste into biodegradable plastics, aligning with Saudi Vision 2030's goals for economic diversification and sustainability. The company aims to process 20,000 tons of waste annually, contributing to a circular economy and creating jobs in polymers, manufacturing, and sales. Polymeron is building its pilot plant at KAUST with support from the National Technology Development Program (NTDP). Why it matters: This initiative addresses plastic pollution and agricultural waste while creating a new industry in the Kingdom, tapping into a global market for biodegradable plastics valued at $13 billion in 2024.
KAUST spinout iyris, an AgriClimate Tech company, raised $16 million in Series A funding led by Ecosystem Integrity Fund. The funding will help iyris scale the sales and delivery of its SecondSky greenhouse covers and nets internationally. iyris' SecondSky technology was developed at KAUST and increases crop yields while reducing input costs. Why it matters: This funding highlights the potential of KAUST-backed startups to address critical challenges in agriculture and sustainability, particularly in harsh environments.
Researchers from MBZUAI and King's College London have developed a new prompting strategy called self-guided exploration to improve LLM performance on combinatorial problems. The method was tested on complex challenges like the traveling salesman problem. The findings will be presented at the 38th Annual Conference on Neural Information Processing Systems (NeurIPS) in Vancouver. Why it matters: This research could lead to practical applications of LLMs in industries like logistics, planning, and scheduling by offering new approaches to computationally complex problems.
A recent study by MIT Technology Review Insights, commissioned by UiPath, found that 90% of surveyed UAE companies plan to increase automation investments in the next 12 months. 40% of UAE respondents expect AI to have the greatest impact on sales, followed by customer service and marketing. The UAE is ahead of other countries in the adoption of AI-driven automation. Why it matters: This indicates growing confidence in AI's ability to improve sales outcomes and overall operational efficiency in the UAE market.
MBZUAI researchers presented a study at ICML 2024 examining how data aggregation distorts causal discovery. The study argues that current methods are misled because real-world interactions happen at a micro level while observations are aggregated. Using the example of ice cream sales and temperature, they highlight how aggregation introduces "instantaneous causality" where time-lags exist. Why it matters: The research identifies a fundamental limitation in current causal discovery methods, potentially impacting disciplines relying on accurate causal inference from observational data.