<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Research on</title><link>https://aitradecraft.com/tags/research/</link><description>Recent content in Research on</description><generator>Hugo -- 0.154.5</generator><language>en-us</language><lastBuildDate>Sun, 12 Apr 2026 22:16:34 +0000</lastBuildDate><atom:link href="https://aitradecraft.com/tags/research/index.xml" rel="self" type="application/rss+xml"/><item><title>Tufts University Unveils Neuro‑Symbolic AI That Cuts Energy Use by 100× While Boosting Accuracy</title><link>https://aitradecraft.com/news/2026/04/tufts-university-unveils-neuro-symbolic-ai-that-cuts-energy-use-by-100-while-boosting-accuracy-20260412-221634/</link><pubDate>Sun, 12 Apr 2026 22:16:34 +0000</pubDate><guid>https://aitradecraft.com/news/2026/04/tufts-university-unveils-neuro-symbolic-ai-that-cuts-energy-use-by-100-while-boosting-accuracy-20260412-221634/</guid><description>Researchers at Tufts University have developed a neuro‑symbolic AI system that achieves up to 100‑fold reductions in energy consumption during training and inference, while significantly outperforming conventional neural models on reasoning tasks.</description></item></channel></rss>