footwear
10 articles about footwear in AI news
Tarte Cosmetics Overtakes QVC as Top U.S. TikTok Shop
Tarte Cosmetics became the fastest-growing U.S. TikTok Shop, overtaking QVC Footwear, signaling a shift toward brand-led commerce on the platform.
Charli XCX's 2026 Top Shoe Moments: Fashion Week to Tour
WWD highlighted Charli XCX's top 2026 shoe moments across red carpets and tours, reinforcing her fashion influence. Specific brands were not disclosed.
Nike and Zellerfeld Reveal 3D-Printed AirWorks Concept by Motoi Hatsuki
Nike and Zellerfeld revealed a 3D-printed AirWorks concept by Motoi Hatsuki. The fully printed sneaker signals Nike's push into on-demand additive manufacturing, though no release plans were disclosed.
CELINE Unveils Reebok Collab at SS27 Runway Show
CELINE showed a Reebok sneaker collaboration at its SS27 runway show. No release details yet.
Zalando Introduces MLLM-Based Evaluation for Product Retrieval
Zalando presents a multimodal LLM-based evaluation for product retrieval, aiming to enhance search relevance in e-commerce. This matters as it could set a new standard for assessing AI in retail search.
Dick's Sporting Goods Partners with Adobe to Launch Agentic AI 'Digital Coaches'
Dick's Sporting Goods announced a partnership with Adobe to implement agentic AI 'digital coaches.' These AI agents will provide personalized guidance to customers, aiming to enhance the shopping experience and drive sales.
Kering Appoints Pierre Houlès as Chief Digital and AI Officer to Build AI-Enabled Digital Model
Kering has hired Pierre Houlès as its first Chief Digital and AI Officer, tasked with building a unified digital model powered by AI. This signals a major strategic shift to centralize and accelerate digital and AI capabilities across its luxury houses.
Nvidia and Antoine Arnault Partner to Advance Virtual Try-On Technology
Nvidia and Antoine Arnault are collaborating to push virtual try-on technology forward, leveraging Nvidia's AI hardware and Arnault's luxury industry influence. This partnership aims to solve long-standing accuracy and scalability challenges in digital fashion fitting.
ReasonGR: A Framework for Multi-Step Semantic Reasoning in Generative Retrieval
Researchers propose ReasonGR, a framework to enhance generative retrieval models' ability to handle complex, numerical queries requiring multi-step reasoning. Tested on financial QA, it improves accuracy for tasks like analyzing reports.
Deep-HiCEMs & MLCS: New Methods for Learning Multi-Level Concept Hierarchies from Sparse Labels
New research introduces Multi-Level Concept Splitting (MLCS) and Deep-HiCEMs, enabling AI models to discover hierarchical, interpretable concepts from only top-level annotations. This advances concept-based interpretability beyond flat, independent concepts.