March 4, 2009
You are invited to a free, live webcast: iPhone SDK Development: Tapping into Apple's New Audio Foundation Class
The AVFoundation framework was introduced in version 2.2 of the iPhone SDK, and provides functionality for playing and mixing sound files, metering, and basic audio control. If you're adding simple sounds to your application, this framework can be implemented quickly and painlessly. In this one-hour webcast, author Jonathan Zdziarski provides an introduction to the framework and shows how you can generate and add digital sounds and add VU meters to your iPhone applications.
Attendance is limited, so register now. We'll send you a reminder before the webcast. And please feel free to share this invitation with others.
Date: Thursday, March 12 at 10 am PT
Duration: Approximately 60 minutes
To register: http://oreilly.com/go/iphoneavfoundation
Questions? Please send email to email@example.com
About Jonathan Zdziarski
Jonathan Zdziarski is better known as the hacker "NerveGas" in the iPhone development community. His work in cracking the iPhone helped lead the effort to port the first open source applications, and his book, iPhone Open Application Development, taught developers how to write applications for the popular device long before Apple introduced its own SDK. Prior to the release of iPhone Forensics, Jonathan wrote and supported an iPhone forensics manual distributed exclusively to law enforcement. Jonathan frequently consults law enforcement agencies and assists forensic examiners in their investigations. He teaches an iPhone forensics workshop in his spare time to train forensic examiners and corporate security personnel.
Jonathan is also a full-time research scientist specializing in machine learning technology to combat online fraud and spam, an effort that led him to develop networking products capable of learning how to protect customers. He is founder of the DSPAM project, a high-profile, next-generation spam filter that was acquired in 2006 by Sensory Networks, Inc. He lectures widely on the topic of spam and is a foremost researcher in the fields of machine-learning and algorithmic theory.
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