30 Jul 2015
IETF Chair Jari Arkko and Dan York discuss some of the happenings around IETF 93.
- 2 participants
- 7 minutes
23 Jul 2015
Topic: Recent Advances in Machine Learning and Their Application to Networking
Speaker:David Meyer, CTO and Chief Scientist at Brocade Communications
http://www.ietf.org/meeting/93/speaker-series.html
The recent progress of Machine Learning and Deep Learning in particular has been nothing short of spectacular. Machine learning applications now span wide variety of application spaces including perceptural tasks such as image search, object and scene recognition and captioning, voice and natural language recognition and generation, self-driving cars and automated assistants such as Siri, as well as various engineering, financial, medical and scientific applications.
More generally, cutting-edge startups, established technology companies and Universities are increasingly finding new, novel, and exciting ways to apply powerful machine learning tools such as neural networks to new and existing problems in many different industries.
The network domain, however, has been virtually untouched by all of this activity. This talk will outline recent advanced in Machine Learning with an eye towards network applications. In addition, we outlines a few "Machine Learning for DevOps" applications which are focused on next generation network automation.
Speaker:David Meyer, CTO and Chief Scientist at Brocade Communications
http://www.ietf.org/meeting/93/speaker-series.html
The recent progress of Machine Learning and Deep Learning in particular has been nothing short of spectacular. Machine learning applications now span wide variety of application spaces including perceptural tasks such as image search, object and scene recognition and captioning, voice and natural language recognition and generation, self-driving cars and automated assistants such as Siri, as well as various engineering, financial, medical and scientific applications.
More generally, cutting-edge startups, established technology companies and Universities are increasingly finding new, novel, and exciting ways to apply powerful machine learning tools such as neural networks to new and existing problems in many different industries.
The network domain, however, has been virtually untouched by all of this activity. This talk will outline recent advanced in Machine Learning with an eye towards network applications. In addition, we outlines a few "Machine Learning for DevOps" applications which are focused on next generation network automation.
- 1 participant
- 57 minutes
23 Jul 2015
Cisco DevNet sponsored IETF Hackathons in 2015, including the very first Hackathon in Dallas, Texas. Rick Tywoniak talks about how IETF Hackathons help move the community and technology forward.
- 1 participant
- <1 minute
23 Jul 2015
IETF Hackathons encourage developers to collaborate and develop utilities, ideas, sample code and solutions that show practical implementations of IETF standards. The IETF Hackathon in Prague was sponsored by Cisco DevNet. http://www.ietf.org/hackathon/
- 1 participant
- 2 minutes
