The Race For AI: Google, Twitter, Intel, Apple In A Rush To Grab Artificial Intelligence Startups
CB insights (29 June 2016)
Paper’s reference in the IEEE style?
“The Race For AI: Google, Twitter, Intel, Apple In A Rush To Grab Artificial Intelligence Startups,” CB Insights - Blog, 29-Jun-2016. [Online]. Available: https://www.cbinsights.com/blog/top-acquirers-ai-startups-ma-timeline/. [Accessed: 19-Sep-2016].
How did you find the paper?
Referenced from an Aylien blog post
If applicable, write a list of the search terms you used.
Was the paper peer reviewed? Explain how you found out.
No, this is a blog post
Does the author(s) work in a university or a government-funded research institute? If so, which university or research institute? If not, where do they work?
CB Insights appears to be technology based corporate advisory service.
What does this tell you about their expertise? Are they an expert in the topic area?
Unclear but likely experienced in the business side of AI
What was the paper about?
The article is about the large level of acquisition of AI companies by major tech companies like Google, IBM, Apple, Salesforce etc.
More than 30 companies working on AI have been acquired in the last five years as summarised in the table below.
Of these at least 10 are NLP related
|Major Acquisitions In Artificial Intelligence Since 2011|
|Cleversense||Restaurant recommendation app|
|DNNresearch||Use of deep learning and neural networks for image search|
|IQ Engines||Image-recognition software||Yahoo|
|LookFlow||API for image recognition and categorization||Yahoo|
|SkyPhrase||Natural-language processing technology||Yahoo|
|DeepMind||Develops self-learning algorithms|
|Cogenea||AI-based virtual assistant||IBM|
|Madbits||Deep learning-based visual intelligence platform to identify contents of images|
|Emu||AI-based instant messaging|
|Jetpac||Aggregates social media pictures and analyzes their locations to provide a travel guide|
|Dark Blue Labs||Deep learning-based technology for understanding natural language||Google DeepMind|
|Vision Factory||Object and text-recognition using deep learning||Google DeepMind|
|Timeful||Smart scheduling app|
|Explorys||Predictive healthcare data analytics||IBM|
|Granata Decision Systems||Prescriptive analytics initially focused on marketing resource management|
|AlchemyAPI||Cloud platform with natural-language capabilities including keyword extraction and categorization||IBM|
|TellApart||Predictive advertising for e-commerce and retail|
|Whetlab||The company claims to have developed a technology to make machine learning better and faster|
|Tempo AI||Smart calendar||Salesforce|
|Perceptio||Developing advanced AI for smartphones||Apple|
|Vocal IQ||Speech-processing for improved human-machine interaction||Apple|
|Saffron||Cognitive computing platform||Intel|
|Emotient||Emotion-detection technology to improve understanding of customer sentiment||Apple|
|PredictionIO||Open-source machine learning server||Salesforce|
|MetaMind||AI-based personalization and customer support solutions for companies||Salesforce|
|Itseez||Computer vision and pattern recognition||Intel|
|Magic Pony||Machine learning and visual processing technology|
If applicable, is this paper similar to other papers you have read for this assignment? If so, which papers and why?
If applicable, is this paper different to other papers you have read for this assignment? If so, which papers and why?
What do these similarities and differences suggest? What are your observations? Do you have any new ideas? Do you have any conclusions?
RNTNs were invented by Socher who, following his PhD started Metamind. Metamind was purchased by Salesforce in April 2016 for $32.8 million in cash just two years after it was founded 1)http://d1lge852tjjqow.cloudfront.net/CIK-0001108524/12862897-47fe-4c02-bafd-6c99313de6b7.pdf?noexit=true
There is a lot of opportunity for NLP
This question is to be answered after your critical analysis is completed. Which sections (if any) of your critical analysis was this paper cited in?
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