fixing broken link to ARM TechCon'16 talk
@@ -136,8 +136,7 @@ under 'crowd-benchmark TensorFlow library' scenario.
Note, that this is an on-going, heavily evolving and long-term project
to enable collaborative and systematic benchmarking
and tuning of realistic workloads across diverse hardware
-([ARM TechCon'16 talk](http://schedule.armtechcon.com/session/know-your-workloads-design-more-efficient-systems),
-[ARM TechCon'16 demo](https://github.com/ctuning/ck/wiki/Demo-ARM-TechCon'16),
+([ARM TechCon'16 talk and demo](https://github.com/ctuning/ck/wiki/Demo-ARM-TechCon'16),
[DATE'16](http://tinyurl.com/zyupd5v), [CPC'15](http://arxiv.org/abs/1506.06256)).
We also plan to add crowd-benchmarking and crowd-tuning of Caffe, TensorFlow
and other DNN frameworks to our
@@ -168,7 +167,7 @@ of the whole SW/HW/model/data set stack ([paper 1](https://scholar.google.com/ci
We would like to thank the community for their interest and feedback about
this collaborative AI optimization approach powered by CK
-at [ARM TechCon'16](http://schedule.armtechcon.com/session/know-your-workloads-design-more-efficient-systems)
+at [ARM TechCon'16](https://github.com/ctuning/ck/wiki/Demo-ARM-TechCon'16)
and the Embedded Vision Summit'17 - so please stay tuned ;) !
[![logo](http://cKnowledge.org/images/dividiti_arm_stand.jpg)](https://www.researchgate.net/publication/304010295_Collective_Knowledge_Towards_RD_Sustainability)
@@ -216,8 +215,7 @@ project to enable collaborative and systematic optimization
of realistic workloads across diverse hardware
in terms of performance, energy usage, accuracy, reliability,
hardware price and other costs
-([ARM TechCon'16 talk](http://schedule.armtechcon.com/session/know-your-workloads-design-more-efficient-systems),
-[ARM TechCon'16 demo](https://github.com/ctuning/ck/wiki/Demo-ARM-TechCon'16),
+([ARM TechCon'16 talk and demo](https://github.com/ctuning/ck/wiki/Demo-ARM-TechCon'16),
[DATE'16](http://tinyurl.com/zyupd5v),
[CPC'15](http://arxiv.org/abs/1506.06256)).
@@ -268,7 +266,7 @@ join this community effort!
## Testimonials and awards
* 2017: We received [CGO test of time award](http://dividiti.blogspot.fr/2017/02/we-received-test-of-time-award-for-our.html) for our CGO'07 paper which later motivated creation of [Collective Knowledge](https://github.com/ctuning/ck)
-* 2015: ARM and the cTuning foundation use CK to accelerate computer engineering: [HiPEAC Info'45 page 17](https://www.hipeac.net/assets/public/publications/newsletter/hipeacinfo45.pdf), [ARM TechCon'16 presentation and demo](http://schedule.armtechcon.com/session/know-your-workloads-design-more-efficient-systems), [public CK repo](https://github.com/ctuning/ck-wa)
+* 2015: ARM and the cTuning foundation use CK to accelerate computer engineering: [HiPEAC Info'45 page 17](https://www.hipeac.net/assets/public/publications/newsletter/hipeacinfo45.pdf), [ARM TechCon'16 presentation and demo](https://github.com/ctuning/ck/wiki/Demo-ARM-TechCon'16), [public CK repo](https://github.com/ctuning/ck-wa)
## Feedback
