Robot uses Japanese tradition and AI for sashimi that lasts longer

Hacker News - AI
Jul 30, 2025 18:47
palidanx
1 views
hackernewsaidiscussion

Summary

A new robot developed by Shinkei Systems combines artificial intelligence with the traditional Japanese ikejime method to process fish for sashimi, significantly extending its freshness. This innovation demonstrates how AI can enhance food processing by improving quality and shelf life, highlighting AI’s potential to modernize traditional industries.

Article URL: https://www.latimes.com/business/story/2025-07-29/shinkei-systems Comments URL: https://news.ycombinator.com/item?id=44738066 Points: 1 # Comments: 0

Related Articles

BlockDAG’s 10 BTC Auction Dominates Headlines as Pi Network Holds $0.43 & Bitget Launches 4.7M GAIA Rewards

Analytics InsightJul 31

BlockDAG’s 10 BTC auction has captured significant attention, highlighting growing interest in blockchain and decentralized technologies. Meanwhile, Pi Network maintains a steady token value at $0.43, and Bitget introduces 4.7 million GAIA rewards, signaling increased innovation and competition in AI-driven crypto platforms. These developments underscore the expanding integration of AI within blockchain ecosystems, driving new opportunities and advancements.

Is ChatGPT Your Therapist? You Might Regret It!

Analytics InsightJul 31

The article warns against relying on ChatGPT and similar AI chatbots for mental health support, highlighting their lack of professional training and potential to provide inaccurate or harmful advice. It underscores the need for clearer boundaries and regulations as AI tools become more integrated into sensitive areas like mental health care. This raises important questions about the ethical and responsible deployment of AI in fields requiring expert oversight.

Show HN: VectorSeek – Private AI-Powered Search

Hacker News - AIJul 31

VectorSeek is a newly launched AI-powered search tool that emphasizes user privacy by allowing private, local searches without sending data to external servers. This approach addresses growing concerns about data security in AI applications, potentially setting a precedent for privacy-focused AI tools in the industry.