.@mza announcing a new deeplearning benchmark:  #reInvent

  • To run comparisons in a deep learning cluster created with CloudFormation
  • The script runs scalability tests and records the throughput as images/sec in CSV files under ‘csv_*’ directories.
  • Step 1: Create a deep learning cluster using CloudFormation .
  • Scalability Comparison Scripts for Deep Learning Frameworks

Contribute to deeplearning-benchmark development by creating an account on GitHub.
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Why ‘Bots vs. Humans’ Is the Wrong Way to Think About It

Why 'Bots vs. Humans' Is the Wrong Way to Think About It  #AI #chatbot #customersuccess

  • And as intelligent machines become more ubiquitous at home and in the workplace, it’s got some people wondering …
  • If the machine can dupe the judges into thinking it’s a human, it’s said to have passed the Turing test.
  • Once machines achieve a certain level of intelligence, they try to take over.
  • We want everyone to know that our bot is a bot.
  • Final thought: Let bots be bots

Chatbots are poised to revolutionize sales and customer success. Here’s why you should be happy, not worried.
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What It Will Take for Us to Trust AI

  • AI systems must be built from the get-go to operate in trust-based partnerships with people.
  • We also expect AI systems to pervasively support the decisions we make in our professional and personal lives in just a few years.
  • Bias could be introduced into an AI system through the training data or the algorithms.
  • Trust of AI systems will be earned over time, just as in any personal relationship.
  • But most experts believe that by thoroughly testing these systems, we can detect and mitigate bias before the system is deployed.

Ethics and accountability.
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Release TensorFlow v0.12.0 RC0 · tensorflow/tensorflow · GitHub

#TensorFlow RC12 has embedding visualization built into Tensorboard.

  • Large cleanup to add second order gradient for ops with C++ gradients and improve existing gradients such that most ops can now be differentiated multiple times.
  • TensorFlow now builds and runs on Microsoft Windows (tested on Windows 10, Windows 7, and Windows Server 2016).
  • Improve trace, matrix_set_diag , matrix_diag_part and their gradients to work for rectangular matrices.
  • Added a new library for library of matrix-free (iterative) solvers for linear equations, linear least-squares, eigenvalues and singular values in tensorflow/contrib/solvers.
  • C API: Type TF_SessionWithGraph has been renamed to TF_Session , indicating its preferred use in language bindings for TensorFlow.

tensorflow – Computation using data flow graphs for scalable machine learning
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