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index.xml
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<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
<channel>
<title>Varnio Technologies</title>
<link>/</link>
<description>Recent content on Varnio Technologies</description>
<generator>Hugo -- gohugo.io</generator>
<language>en-us</language>
<lastBuildDate>Thu, 22 Feb 2018 17:01:34 +0700</lastBuildDate>
<atom:link href="/index.xml" rel="self" type="application/rss+xml" />
<item>
<title>Farshid Varno</title>
<link>/team/farshid/</link>
<pubDate>Tue, 05 Jul 2022 00:06:58 +0000</pubDate>
<guid>/team/farshid/</guid>
<description>Web Page Resume (HTML) Resume (PDF) I&rsquo;m a Research Scientist with a strong technical background in HW/SW co-design and Edge AI. In summary I&rsquo;m:
🧑🔬 A Research Scientist at Rain 🏗️ The creator of FedSim Simulator (https://fedsim.varnio.com) 💡 The first inventor of an international patent on Transfer Learning 🧐 A reviewer for top ML conferences like ECCV, CVPR, ICCV and I have:</description>
</item>
<item>
<title>FedSim</title>
<link>/products/fedsim/</link>
<pubDate>Tue, 05 Jul 2022 00:00:00 +1000</pubDate>
<guid>/products/fedsim/</guid>
<description>FedSim is a generic Federated Learning simulator. See the latest documentation at this link.</description>
</item>
<item>
<title>Research</title>
<link>/services/research/</link>
<pubDate>Sun, 18 Nov 2018 12:33:46 +1000</pubDate>
<guid>/services/research/</guid>
<description>To get the best out of your data, we are commited to provide summary, analysis and report of the knowledge you can extract from your data.
The ingredients of relevance are the predictive value and confirmatory value. Information is considered material if its omission or misstatement could influence the economic decisions of users taken on the basis of the financial statements. ## Faithful Representation Faithful representation means that the actual effects of the transactions shall be properly accounted for and reported in the financial statements.</description>
</item>
<item>
<title>Federated Learning</title>
<link>/services/fl/</link>
<pubDate>Wed, 28 Nov 2018 15:14:39 +1000</pubDate>
<guid>/services/fl/</guid>
<description>We provide vision and expertise to build Federated Learning systems for wide range of applications.</description>
</item>
<item>
<title>Consultation</title>
<link>/services/consaltation/</link>
<pubDate>Wed, 28 Nov 2018 15:15:26 +1000</pubDate>
<guid>/services/consaltation/</guid>
<description>We have the tools that can exactly tell you whther to go for a collect and learn appraoch or distributed learning.</description>
</item>
<item>
<title>About</title>
<link>/about/</link>
<pubDate>Thu, 22 Feb 2018 17:01:34 +0700</pubDate>
<guid>/about/</guid>
<description>Lorem markdownum aequalis strigis. Saetigeri iubeas, vultu huic alvum nondum de obside ut laniavit arbor palmis, cum quin. Rupes vetat videndo, armigerae crimen habet Priamum nec.
Ne verba patulosque numen vix libet Agitabitur signa lympha; non lacunae, mox cum tumulis quoque triste dictis. Ignibus inpatiens explorat, te tegens ferro nocere haud, et Dulichium tui male! Quo sed fuit flexit et hic die solido, gloria?
Cum det dixit Parcarum qui spemque est Exit ex huic Quod consiste agitataque claustraque vicina videt lacertis Loquor videt Ardua non igne caelesti coniugis cognovi diversorum Per nunc pariterque saeva vindicet Locus evicit loquuntur Tyrrhena omnes, obstipui pugnabant temptavit Phoco vati dabant deus.</description>
</item>
<item>
<title></title>
<link>/contact/</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>/contact/</guid>
<description></description>
</item>
<item>
<title>Farshid Varno</title>
<link>/resume/farshid/</link>
<pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
<guid>/resume/farshid/</guid>
<description>Intro I&rsquo;m a Research Scientist with a strong technical background in HW/SW co-design and Edge AI. In summary I have:
5+ years experience as AI Research Scientist 1 years experience as Data Scientist 2+ years experience as FPGA Engineer/RTL Designer Experience Research &amp; Industry Research Scientist, Rain August 2023&ndash;present, Montreal, Canada Design and emulation of digital hardware units to work in the next generation of Rain&rsquo;s Compute-In-Memory (CIM) technology (optimized for LLMs, Convs, etc.</description>
</item>
</channel>
</rss>