<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Startup on AI Brief | AI-101.tech</title><link>https://AI-101.tech/tags/startup/</link><description>Recent content in Startup on AI Brief | AI-101.tech</description><generator>Hugo</generator><language>en</language><lastBuildDate>Fri, 03 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://AI-101.tech/tags/startup/index.xml" rel="self" type="application/rss+xml"/><item><title>Cognichip Uses AI to Design AI Chips: $60M Raised, Aims to Cut Development Costs by 75%</title><link>https://AI-101.tech/posts/2026-04-03-cognichip-ai-designs-ai-chips/</link><pubDate>Fri, 03 Apr 2026 00:00:00 +0000</pubDate><guid>https://AI-101.tech/posts/2026-04-03-cognichip-ai-designs-ai-chips/</guid><description>&lt;p>Chip design is dirty work.&lt;/p>
&lt;p>Not literally dirty — it&amp;rsquo;s the kind of dirty that&amp;rsquo;s time-consuming, expensive, and mentally exhausting. It takes three to five years to go from concept to mass production for an advanced chip, with the design phase alone taking two years — and that&amp;rsquo;s before any actual wiring starts. Just think about it: Nvidia&amp;rsquo;s Blackwell GPU packs 104 billion transistors. Simply arranging and combining all those components is enough to wear engineers out.&lt;/p></description></item></channel></rss>