AI Tech Talk: An Overview of AI on the AWS Platform

New on the AWS #AI Blog,

  • AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs.
  • For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech (TTS) with Amazon Polly, and developer-focused machine learning with Amazon Machine Learning.
  • For more in-depth deep learning applications, the AWS Deep Learning AMI lets you run deep learning in the cloud, at any scale.
  • Launch instances of the AMI, pre-installed with open source deep learning frameworks (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to train sophisticated, custom AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances.
  • Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of the managed AI services, the AI Platform offerings, and the AI Frameworks you can run on the AWS Cloud.

AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech (TTS) with Amazon Polly, and developer-focused machine learning with Amazon Machine Learning.
Continue reading “AI Tech Talk: An Overview of AI on the AWS Platform”

AI Tech Talk: An Overview of AI on the AWS Platform

New on the AWS #AI Blog,

  • AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs.
  • For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech (TTS) with Amazon Polly, and developer-focused machine learning with Amazon Machine Learning.
  • For more in-depth deep learning applications, the AWS Deep Learning AMI lets you run deep learning in the cloud, at any scale.
  • Launch instances of the AMI, pre-installed with open source deep learning frameworks (Apache MXNet, TensorFlow, Caffe, Theano, Torch and Keras), to train sophisticated, custom AI models, experiment with new algorithms, and learn new deep learning skills and techniques; all backed by auto-scaling clusters of GPU-based instances.
  • Whether you’re just getting started with AI or you’re a deep learning expert, this session will provide a meaningful overview of the managed AI services, the AI Platform offerings, and the AI Frameworks you can run on the AWS Cloud.

AWS offers a family of intelligent services that provide cloud-native machine learning and deep learning technologies to address your different use cases and needs. For developers looking to add managed AI services to their applications, AWS brings natural language understanding (NLU) and automatic speech recognition (ASR) with Amazon Lex, visual search and image recognition with Amazon Rekognition, text-to-speech (TTS) with Amazon Polly, and developer-focused machine learning with Amazon Machine Learning.
Continue reading “AI Tech Talk: An Overview of AI on the AWS Platform”

Investorideas

  • PARIS – January 17, 2017 (Investorideas.com Newswire) Serena Capital, a major player in financing and accompanying high growth digital companies, has launched its 3rd fund in 8 years; Serena Data Ventures, dedicated to Big Data and Artificial Intelligence.
  • Investorideas is on Facebook Investorideas is on Google Plus Investorideas is on Youtube Investorideas is on Pinterest Investorideas is on tumblr Investorideas is on LinkedIn Investorideas RSS
  • Follow Investorideas on Twitter Investorideas is on Facebook Investorideas is on Google Plus Investorideas is on Youtube Investorideas is on Pinterest Investorideas is on tumblr Investorideas is on LinkedIn Investorideas RSS
  • Serena Capital reinforces its start-up support with the arrival of 3 new Venture Partners and Amélie Faure hired as Operating Partner.
  • Within a few years, Serena Capital has become a key player in financing and supporting early growth digital start-ups and has just launched the first fund in Europe dedicated to Big Data and Artificial Intelligence.

#AI News: Serena Capital Launches Serena Data Ventures, the 1st European #Fund Dedicated to Big Data & #ArtificialIntelligence
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20+ AI Startups

20+ #AI Startups - Butler Analytics

  • AiCure uses artificial intelligence (AI) on mobile devices to confirm medication ingestion in clinical trials and high-risk populations.
  • StatMuse employs AI for its graphic search engine for sports stats.
  • Inbenta uses AI to allow customers to find their own answers on a web site.
  • CustomerMatrix – using AI to enhance customer interactions.
  • Scaled Inference – offering machine learning as a service, using AI to guide users through the process.

Read the full article, click here.


@RickKing16: “20+ #AI Startups – Butler Analytics”


AI is primarily concerned with the creation of intelligent agents that use technologies such as machine learning, optimization, language processing, logic and search to automate otherwise manual tasks. Most of the AI startups here are pitching at business use (usually sales and marketing), but a few are also developing consumer products (e.g. Anki). Applications in healthcare are also becoming common.


20+ AI Startups