{"id":285526,"date":"2025-04-19T11:05:10","date_gmt":"2025-04-19T11:05:10","guid":{"rendered":"https:\/\/news.talkwithrattan.com\/index.php\/2025\/04\/19\/readers-weigh-in-on-brainlike-ai-technology\/"},"modified":"2025-04-19T11:05:10","modified_gmt":"2025-04-19T11:05:10","slug":"readers-weigh-in-on-brainlike-ai-technology","status":"publish","type":"post","link":"https:\/\/news.talkwithrattan.com\/index.php\/2025\/04\/19\/readers-weigh-in-on-brainlike-ai-technology\/","title":{"rendered":"Readers weigh in on brainlike AI technology"},"content":{"rendered":"
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All about AI<\/h2>\n\n\n\n

Scientists are working on AI technology that has brain-inspired hardware, architecture or algorithms. Such neuromorphic AI could be nimbler, more efficient and more capable than traditional AI, freelance writer Kathryn Hulick reported in \u201cMaking AI think more like your brain<\/a>.\u201d<\/em><\/p>\n\n\n\n

Hulick reported that mainstream computers, which currently run most AI, separate memory and processing. Some burgeoning neuromorphic technology, such as spiking neural networks, combine the two.<\/p>\n\n\n\n

This concept reminded reader Gary Pokorny of an early experience with computers. \u201cThe first computer I used \u2026 was an Apple IIe, in which I would insert one floppy disk to load word processing instructions, then take it out and insert a blank floppy to save my work, and back and forth while writing,\u201d Pokorny wrote. The personal analogy helped Pokorny \u201cunderstand why mainstream AI requires huge resources for both memory and processing. I have a harder time grasping, but am fascinated by, the idea of spiking [neural networks combining both], hence more efficiently, and more like our brains.\u201d<\/p>\n\n\n