Adobe AIR第一单:Seesmic买下Twhirl

AIR平台出来有一段时间了,目前的情况看,个人觉得很受web开发者喜欢,界面绚丽,编程模式和通用的web编程模式完全兼容。Twhirl是基于AIR平台的一个国外非常流行的微博客(类似于饭否)的客户端。大约有7%的Twitter信息用此软件发布。不久前该软件被Seesmic公司收购,可谓AIR平台软件第一单。这是Seesmic公司发表的购买Twhirl的二十个理由。没想这也被GFWed了,晕,原文拷贝至此,请下看:

As TechCrunch just announced, Seesmic just acquired Twhirl. And here are 20 ways it will benefit the Seesmic community

-Staying in touch with your friends using microblogging is much easier using a client than through your browser
-Thwirl is the
#1 and coolest Twitter client with more than 100,000 downloads and 7% of all tweets posted per day
-Thousands of new users download Twhirl daily
-Twhirl works on Mac AND PC, soon on Linux too
-Twhirl lets you easily use all the advanced messaging options of Twitter (replies, direct messages)
-Twhirl added very cool features such as search and url shortening in a second
-Twhirl allows you to have multiple Twitter accounts opened simultaneously
-Twhirl not only posts on Twitter but also on Pownce and Jaiku, with more services coming soon
-Seesmic and Twhirl have been created exactly the same way, by listening to their communities and adding new features according to their popularity
-Twhirl has
amazing feedback from its users and press coverage: Thwirl was just on Fox News
-We got in touch entirely through using Twitter and Twhirl... how cool is that? Okay, we also used Skype a bit to close the deal

 

Marco Kaiser, who created Twhirl

-most of Seesmic team and investors constantly use Twhirl, made things easy!
-Marco was already in the process of adding Seesmic support to Twhirl. That is how we got together and thought about him joining in, not the other way round
-Adding video to Twhirl will be a plus to the Twhirl community. It will remain optional -- we won't break it!
-Twhirl is free and will remain free
-Marco has the same international vision, already supporting english, german, spanish and italian (hey where is french!)
-With Twhirl being based in Germany, Seesmic now has a presence there which will help with the German version and community
-Marco will have more means to improve Twhirl as he will join Seesmic full-time and will be able to utilize the Seesmic's support and infrastructure
-We are only at the beginning of microblogging, the space is very exciting and new
-Marco Kaiser is super cool and it is all about people

update: thank you all for writing about this (in no particular order and not exhaustive look here and here for more) 

Marshall Kirkpatrick / ReadWriteWeb: Seesmic + Twhirl is a Vision of the Web's Future (Marshall, I love your title!)
Chris Morrison / VentureBeat:
Seesmic jilts the browser to take a twirl with Twhirl
Rafe Needleman / Webware.com:
Video chat startup Seesmic acquires Twitter client Twhirl

Liz Gannes / NewTeeVee: Seesmic Acquires Desktop Client

Ross Mayfield / Ross Mayfield's Weblog: Twhirling Seemic's Underweb
Staci D. Kramer / paidContent.org:
Seesmic Acquires Twitter Desktop Client Twhirl
Brian Solis / bub.blicio.us:
Seesmic Sets Its Sights on Twhirl
John Musser / ProgrammableWeb:
Seesmic Acquires Twitter Mashup Twhirl
Kristen Nicole / Mashable!:
Seesmic Acquires Twhirl, for Desktop Video Microblogging
Frederic / The Last Podcast:
Seesmic buys Twhirl

Ouriel Ohayon / TechCrunch France: Seesmic acquiert Twhirl

Publish with shinyr
Publish with shinyr
内容概要:本文围绕“基于数据驱动的 Koopman 算子的递归神经网络模型线性化,用于纳米定位系统的预测控制研究”展开,提出了一种结合Koopman算子理论与递归神经网络(RNN)的数据驱动建模方法,旨在对非线性纳米定位系统进行有效线性化建模,并实现高精度的模型预测控制(MPC)。该方法利用Koopman算子将非线性系统映射到高维线性空间,通过递归神经网络学习系统的动态演化规律,构建可解释性强、计算效率高的线性化模型,进而提升预测控制在复杂不确定性环境下的鲁棒性与跟踪精度。文中给出了完整的Matlab代码实现,涵盖数据预处理、网络训练、模型验证与MPC控制器设计等环节,具有较强的基于数据驱动的 Koopman 算子的递归神经网络模型线性化,用于纳米定位系统的预测控制研究(Matlab代码实现)可复现性和工程应用价值。; 适合人群:具备一定控制理论基础和Matlab编程能力的研究生、科研人员及自动化、精密仪器、机器人等方向的工程技术人员。; 使用场景及目标:①解决高精度纳米定位系统中非线性动态响应带来的控制难题;②实现复杂机电系统的数据驱动建模与预测控制一体化设计;③为非线性系统控制提供一种可替代传统机理建模的有效工具。; 阅读建议:建议结合提供的Matlab代码逐模块分析实现流程,重点关注Koopman观测矩阵构造、RNN网络结构设计与MPC控制器耦合机制,同时可通过替换实际系统数据进行迁移验证,深化对数据驱动控制方法的理解与应用能力。
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