Naheed.pk, a Pakistani online retailer, has expanded its services to over 30 cities, offering same-day delivery in Karachi, Lahore, and Islamabad. The company has seen 100% year-on-year growth and aims to capture 5% of Pakistan's retail market share. Naheed.pk focuses on providing genuine products and a trustworthy shopping experience to compete with brick-and-mortar stores. Why it matters: The growth of e-commerce platforms like Naheed.pk signals a shift in consumer behavior in Pakistan and the increasing importance of online retail in the region's economy.
The Khaleej Times discusses the potential of using AI to assist with holiday gift shopping. AI tools can analyze user data and preferences to suggest suitable gifts. These tools can also automate price comparisons and identify deals. Why it matters: While still nascent, AI-driven shopping assistants could streamline the gift-giving process and offer personalized recommendations for consumers in the UAE.
Saee, a KAUST-supported Saudi startup based in Jeddah, aims to disrupt last-mile delivery in Saudi Arabia by addressing challenges like delays and cash-on-delivery (COD) issues. They offer services such as fast COD consolidation, flexible dispatch to freelancers, and warehouse management. Saee also introduces a new concept called Cash Before Delivery (CBD) to improve cash flow for e-commerce platforms. Why it matters: This aims to solve a key bottleneck for e-commerce growth in Saudi Arabia, where COD is prevalent and creates financial inefficiencies.
This paper introduces a mutually-regularized dual collaborative variational auto-encoder (MD-CVAE) for recommendation systems, addressing the limitations of user-oriented auto-encoders (UAEs) in handling sparse ratings and new items. MD-CVAE integrates item content and user ratings within a variational framework, regularizing UAE weights with item content to avoid non-optimal convergence. A symmetric inference strategy eliminates the need for retraining when introducing new items, enhancing efficiency in dynamic recommendation scenarios. Why it matters: The MD-CVAE approach offers a practical solution for improving recommendation accuracy and efficiency, especially in scenarios with data sparsity and frequent item updates, relevant to e-commerce and content platforms in the Middle East.
Cybersecurity specialist James Lyne spoke at KAUST's 2018 Winter Enrichment Program (WEP) about cybersecurity threats and techniques. Lyne demonstrated hacking and phishing attacks, emphasizing how hackers can exploit personal information by bypassing basic security measures. He highlighted the increasing sophistication of cybercriminals and the existence of illicit marketplaces on the dark web where hacking applications are sold. Why it matters: Raising awareness of cybersecurity threats is crucial for protecting individuals and organizations in Saudi Arabia and the broader region as digital infrastructure expands.
This paper introduces Adaptive Entropy-aware Optimization (AEO), a new framework to tackle Multimodal Open-set Test-time Adaptation (MM-OSTTA). AEO uses Unknown-aware Adaptive Entropy Optimization (UAE) and Adaptive Modality Prediction Discrepancy Optimization (AMP) to distinguish unknown class samples during online adaptation by amplifying the entropy difference between known and unknown samples. The study establishes a new benchmark derived from existing datasets with five modalities and evaluates AEO's performance across various domain shift scenarios, demonstrating its effectiveness in long-term and continual MM-OSTTA settings.
Sonny Vu, CEO of Misfit Wearables, spoke at KAUST about the importance of design in technology and shared his entrepreneurial philosophy. He emphasized rapid prototyping, user feedback, and enjoyable user experiences, as seen in his previous company AgaMatrix and his wearable activity monitor, the Shine. Misfit Wearables successfully raised $100,000 through crowdfunding in just nine and a half hours. Why it matters: This highlights KAUST's role in fostering entrepreneurship and promoting innovative approaches to product development in the region, particularly in wearable technology.