
Real-World Challenges in AI Food Recognition (Part 2)
Take a closer look at real-world cases — how AI recognizes tableware, where the technology is used, and the challenges of making it reliable.
Take a closer look at real-world cases — how AI recognizes tableware, where the technology is used, and the challenges of making it reliable.
This article dives into four real-world challenges faced by AI food recognition—and how each was solved in the food service industry.
AI tools like Vibe Coding and Viscovery’s AI system are lowering barriers, making AI more accessible to non-technical users.
As labor shortages and rising costs become everyday challenges—can AI help retailers stay resilient under inflationary pressure?
Machines used to just do simple tasks, but now, with AI, they can learn, assist in complex tasks, or even help us make smarter decisions.
As AI spreads, ’10x professionals’ are breaking productivity limits, unlocking new efficiency levels across industries—including bakeries.
AI has become an essential tool for improving operational efficiency and helping bento businesses adapt to evolving market demands.
This article explores five key restaurant trends to watch in 2025 to help businesses stay competitive in an evolving market.
AI image recognition is revolutionizing the bento industry by automating key processes like checkout, labeling, and quality control. This technology enhances operational efficiency and improves the consumer experience, making it a game-changer for bento businesses.
The baking industry is evolving with a focus on health, sustainability, bold flavors, and AI—reshaping both products and operations.
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