Friday, September 8, 2017
Prof. Joseph Keshet from BIU fools deep learning
My friend Joseph (Yossi) Keshet have recently released work for fooling deep learning systems. His work got a lot of attendion including MIT Technology Review and the New Scientist. Nice work!!
Dataiku raised 28M$
According to VentureBeat Dataiku just raised 28M$. Dataiku has a web based platform for data science.
Here is my personal connection. Strangely last time I wed a couple I was wearing their t-shirt.
Here is my personal connection. Strangely last time I wed a couple I was wearing their t-shirt.
Unrelated, I just learned from my colleague Brian that Cloudera just acquired Fast Forward Labs, which is the company behind Hilary Mason. I visited Hilary in her offices a couple of years ago and learned they had an interesting consulting models of sharing periodical tech reports for educating data scientists to become more proficient. Congrats Hilary!
Monday, September 4, 2017
Deepgram - Audio Search with Deep Learning
A very interesting podcast by Sam Charrington who is interviewing Scott Stephenson from DeepGram. DeepGram is using deep learning activations for creating indexes that allows to search text in voice recordings.
DeepGram have released Kur which is a high level abstraction of deep learning framework to allow quickly defining network layouts. But still, writing the target persona is researchers with deep learning knowledge.
A related Israeli startup is AudioBurst. They claim to use AI for indexing but it is not clear what they actually do. Another Israeli startup is Verbit. They seem to transcribe audio with humans going over the preliminary result.
In addition, my friend Yishay Carmiel is working on importing parts of Kaldi to TensorFLow. A recent Google developer blog post describes this effort. Yishay is leading a spinoff of Spoken called IntelligentWire who is also searching audio files using deep learning.
Overall it seems that search in audio files using deep learning is getting hotter!
DeepGram have released Kur which is a high level abstraction of deep learning framework to allow quickly defining network layouts. But still, writing the target persona is researchers with deep learning knowledge.
A related Israeli startup is AudioBurst. They claim to use AI for indexing but it is not clear what they actually do. Another Israeli startup is Verbit. They seem to transcribe audio with humans going over the preliminary result.
In addition, my friend Yishay Carmiel is working on importing parts of Kaldi to TensorFLow. A recent Google developer blog post describes this effort. Yishay is leading a spinoff of Spoken called IntelligentWire who is also searching audio files using deep learning.
Overall it seems that search in audio files using deep learning is getting hotter!
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