• Facebook’s AI system can speak with Bill Gates’s voice
  The company’s AI researchers have developed a speech synthesizer capable of copying anybody’s voice with uncanny accuracy...

• Eugenics 2.0: At the Dawn of Choosing Embryos by Health, Height, and More
  Will you be among the first to pick your kids’ IQ? As machine learning unlocks predictions from DNA databases, scientists say parents could have choices never before possible...

• Weight Agnostic Neural Networks
  Inspired by precocial species in biology, we set out to search for neural net architectures that can already (sort of) perform various tasks even when they use random weight values...

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• You can train an AI to fake UN speeches in just 13 hours
  Deep-learning techniques have made it easier and easier for anyone to forge convincing misinformation. But just how easy? Two researchers at Global Pulse, an initiative of the United Nations, decided to find out. In a new paper, they used only open-source tools and data to show how quickly they could get a fake UN speech generator up and running. ...

• Hamiltonian Neural Networks
  Starting from noisy (pixel) data, we can learn _exact_ conservation of energy-like quantities...

• Amazon Personalize - a fully managed AI-powered recommendation service
  Amazon today announced the general availability of Amazon Personalize, an AWS service that facilitates the development of websites, mobile apps, and content management and email marketing systems that suggest products, provide tailored search results, and customize funnels on the fly...

• Why Hadoop Failed and Where We Go from Here
  With Cloudera losing 42% market cap and MapR signaling they are about to close shop, this week left little doubt that Hadoop is on the way out. So, what happened? And where do we as an industry go from here?...

• A Survey of Reinforcement Learning Informed by Natural Language
  To be successful in real-world tasks, Reinforcement Learning (RL) needs to exploit the compositional, relational, and hierarchical structure of the world, and learn to transfer it to the task at hand. We survey the state of the field, including work on instruction following, text games, and learning from textual domain knowledge...

• AI deepfakes now as simple as typing whatever you want your subject to say
  In the latest example of deepfake technology, researchers have shown off new software that uses machine learning to let users edit the text transcript of a video to add, delete, or change the words coming right out of somebody’s mouth...

• Variational Pretraining for Semi-supervised Text Classification
  We introduce VAMPIRE, a lightweight pretraining framework for effective text classification when data and computing resources are limited. We pretrain a unigram document model as a variational autoencoder on in-domain, unlabeled data and use its internal states as features in a downstream classifier...

• SHAP (SHapley Additive exPlanations)
  A unified approach to explain the output of any machine learning model. SHAP connects game theory with local explanations, uniting several previous methods [1-7] and representing the only possible consistent and locally accurate additive feature attribution method based on expectations...

• 5 Ways to Leverage AI Research in Marketing and Advertising
  Marketing is evolving, and AI has solved a lot of marketing challenges we are facing. However, AI has developed rapidly that it becomes a challenge to follow all the research advances and possible business applications. In our article, we have focused on the 5 key challenges enterprise marketers face and how we can leverage recent AI breakthroughs...

• Transpose A Matrix In PyTorch
  Learn how to use transpose a matrix in PyTorch by using the PyTorch T operation, via a screencast video and full tutorial transcript...

• TensorFlow Model Optimization Toolkit — Post-Training Integer Quantization
  Quantized models can be 2-4x faster on CPU, 4x smaller with low accuracy loss, and are compatible with fixed-point accelerators...

• Releasing lookml-tools: better Looker code, user experience, and data governance
  In this post, we are pleased to announce lookml-tools, a new toolkit that our customer intelligence engineering team is open-sourcing to help the Looker community — especially LookML developers — write cleaner, more consistent code, deliver a better end user experience, and enhance data quality and governance...

• Guesstimation: Solving the World's Problems on the Back of a Cocktail Napkin
  "Guesstimation enables anyone with basic math and science skills to estimate virtually anything--quickly--using plausible assumptions and elementary arithmetic"...
  For a detailed list of books covering Data Science, Machine Learning, AI and associated programming languages check out our resources page
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