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28 articles about sports in AI news

Apparel Brands Prepare for European Launch of Digital Tags

Apparel brands are preparing to launch digital tags in Europe, likely as digital product passports, to improve supply chain traceability and support circularity. This move aligns with EU regulatory trends and consumer demand for transparency.

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Castore and GXO Detail 'Sustainable Scale' Strategy at Drapers Supply

At the Drapers Supply Chain Summit, Castore CSCO Adrian Harris detailed how the rapid-growth sportswear brand is shifting focus from breakneck expansion to 'sustainable scale' with logistics partner GXO. The partnership is central to operationalizing sustainability in Castore's supply chain.

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New Research Adapts Deep Interest Network for Time-Sensitive

A new arXiv paper details a recommendation engine for daily fantasy sports that explicitly models time-sensitivity and urgency. The system adapts the Deep Interest Network (DIN) architecture with real-time urgency features and temporal positional encodings, achieving a significant performance gain over a traditional baseline.

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AI Models Fail Premier League Betting Benchmark, Losing Money

A new sports betting benchmark reveals that today's best AI models, including GPT-4 and Claude 3, consistently lose money when predicting Premier League match outcomes, failing to beat simple baselines.

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Steph Curry Launches Li-Ning Era With New Logo, Shoe

Steph Curry launched his Li-Ning era with a new logo and shoe, marking his move from Under Armour to the Chinese brand. No financial terms were disclosed.

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How Major Retailers Use AI to Reimagine the Customer Journey

BizTech Magazine reports that retailers like Kering and Nike use Google Cloud AI to personalize customer journeys, lifting revenue 10-30%. This matters as AI transforms omnichannel retail with real-time data and generative models.

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CELINE Unveils Reebok Collab at SS27 Runway Show

CELINE showed a Reebok sneaker collaboration at its SS27 runway show. No release details yet.

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Simple Graph Heuristic Beats Generative Recommenders on 10 of 14 Benchmarks

A no-training graph heuristic beats generative recommenders on 10 of 14 benchmarks, exposing shortcut-solvable datasets. Relative NDCG@10 gains hit 44% on Amazon CDs.

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MIT Hackathon Team Builds Wearable AI for Physical Movement Guidance

MIT hackathon team builds wearable AI for real-time physical movement guidance via sensors and on-device inference, demoed by @kimmonismus.

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Meta's Sapiens2: 1B Human Image ViTs for Pose, Segmentation, Normals

Meta open-sourced Sapiens2 on Hugging Face, a family of vision transformers pretrained on 1 billion human images for pose estimation, segmentation, normal estimation, and point maps. The models target high-resolution human-centric perception.

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X Launches Custom Timelines, AI-Powered Feed Curation Tool

X has launched 'Custom Timelines,' a feature that uses AI to let users create and follow personalized feeds based on curated lists of accounts, moving beyond the main algorithmic 'For You' feed.

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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.

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Toyota CUE7 Robot Makes Free Throws at Tokyo Basketball Game

Toyota's CUE7 robot successfully performed dribbling and free throws during a live halftime show in Tokyo. The demonstration highlights advances in real-world, dynamic bipedal/wheeled robotics.

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MVCrec: A New Multi-View Contrastive Learning Framework for Sequential

Researchers propose MVCrec, a framework that applies multi-view contrastive learning between sequential (ID-based) and graph-based views of user interaction data to improve recommendation accuracy. It outperforms 11 leading models, showing significant gains in key metrics.

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Meta's Ad Business Now Fully Optimized by AI, Says Zuckerberg

Mark Zuckerberg announced that Meta's advertising business is now powered by AI optimization, replacing reliance on static demographic targeting. This shift represents the full-scale operationalization of AI for the company's core revenue engine.

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BracketRank: New LLM Reranking Framework Uses Tournament-Style Elimination

A new paper introduces BracketRank, which treats document reranking as a reasoning-driven competitive tournament with adaptive grouping and bracket-style elimination. It achieves 26.56 nDCG@10 on the BRIGHT reasoning benchmark, outperforming RankGPT-4 and Rank-R1-14B. This represents a novel approach to handling complex, multi-step retrieval tasks where deep semantic inference is required.

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Loop Neighborhood Markets Deploys Tote's Genie AI Agent

Loop Neighborhood Markets has deployed Tote's Genie AI agent for customer service, while Frasers Group reports a 25% uplift in conversion rates since launching its own AI shopping assistant for its premium fashion retailer. This indicates a clear shift towards operational AI agents in retail.

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Virtual Try-on of New Clothes Through AI - Unite.AI

The source is a news article from Unite.AI discussing AI-driven virtual try-on technology for clothing. This is a direct application for the retail and luxury sector, aiming to enhance online shopping experiences.

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Guest Column Asks: Is Travel Retail Ready for Agentic AI?

A guest column in the Moodie Davitt Report explores the readiness of the travel retail sector for agentic AI adoption. It highlights the potential for autonomous AI agents to transform passenger experiences and operations in airports and duty-free.

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New Benchmark and Methods Target Few-Shot Text-to-Image Retrieval for Complex Queries

Researchers introduce FSIR-BD, a benchmark for few-shot text-to-image retrieval, and two optimization methods to improve performance on compositional and out-of-distribution queries. This addresses a key weakness in pre-trained vision-language models.

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DirecTV's AI-Powered Home Shopping: A First-Hand Test of TV-Based Personal Styling

A journalist's first-hand account of testing an AI-powered home shopping feature on DirecTV, where the TV used vision AI to analyze the viewer's attire and suggest clothing items for purchase. This represents a direct, if early, test of ambient, vision-driven commerce in the living room.

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Why Authenticity Will Be a Luxury in Hollywood’s AI Era

The Times argues that in an AI-saturated media landscape, genuine human creativity and authentic storytelling will become scarce, high-value commodities. This mirrors a core challenge for luxury brands: preserving brand soul and heritage in an age of synthetic content.

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Elevating Luxury Travel with AI: A Smarter Way to Explore the World

Drift Travel Magazine explores how AI is transforming luxury travel, from hyper-personalized itineraries to seamless, anticipatory service. This signals a shift where AI becomes an invisible concierge, elevating the core luxury experience.

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Google Unveils Universal Commerce Protocol (UCP) for Securing Agentic Commerce

Google has released the Universal Commerce Protocol (UCP), an open-source standard designed to secure transactions conducted by AI agents. This framework aims to establish trust and provenance in automated commerce, with direct implications for luxury goods authentication and supply chain transparency.

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Entropy-Guided Interactive Systems for Ambiguous Luxury Shopping Queries

Researchers propose an Interactive Decision Support System (IDSS) that uses entropy to manage uncertainty in user preferences. It adaptively asks clarifying questions and diversifies recommendations when intent remains ambiguous, reducing question fatigue while maintaining relevance.

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Global TV Liberation: How Open Source Collaboration Is Disrupting Streaming

An open-source project called Free-TV/IPTV has compiled free live TV channels from over 60 countries into a single M3U playlist. With 88 contributors maintaining the repository, this GitHub project offers HD streams from major platforms without subscriptions.

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Beyond the Racket: How AI-Powered Exclusive Previews Are Redefining Luxury Event Marketing

BMW's use of a closed-room, AI-enhanced model preview at the BNP Paribas Open demonstrates a new paradigm for luxury marketing. This approach creates scarcity, personalizes the high-touch experience, and generates ultra-qualified leads by blending physical exclusivity with data-driven engagement.

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LLaMo: The First Truly Unified Motion-Language AI Model That Understands and Generates Human Movement

Researchers have developed LLaMo, a groundbreaking AI model that unifies motion understanding and generation with language capabilities. Unlike previous approaches that suffered from catastrophic forgetting, LLaMo preserves linguistic knowledge while achieving real-time motion generation at over 30 FPS.

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