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WeeklyDigest2018-01_5.md

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Weekly Digest 2018-01 #5

ARTIFICIAL INTELLIGENCE IS GOING TO SUPERCHARGE SURVEILLANCE

What happens when digital eyes get the brains to match?

The head of Facebook’s AI research is stepping into a new role as it shakes up management

Facebook has replaced the man Mark Zuckerberg recruited to run its artificial intelligence research, filling the role with an outsider who will take a bigger role at the company as it puts more AI into its News Feed and other products.

Facebook: Detectron

Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework.

China wants to make the chips that will add AI to any gadget

The AI boom offers Chinese chipmakers a chance to catch up after years of lagging behind.

Engineers design artificial synapse for “brain-on-a-chip” hardware

Design is major stepping stone toward portable artificial-intelligence devices.

Announcing TensorFlow 1.5

First off, Eager Execution for TensorFlow is now available as a preview.

The UX of AI

Using Google Clips to understand how a human-centered design process elevates artificial intelligence.

Open-sourcing Psychlab

DeepMind: Consider the simple task of going shopping for your groceries. If you fail to pick-up an item that is on your list, what does it tell us about the functioning of your brain? It might indicate that you have difficulty shifting your attention from object to object while searching for the item on your list. It might indicate a difficulty with remembering the grocery list. Or it could it be something to do with executing both skills simultaneously.

Spiking Neural Networks, the Next Generation of Machine Learning

Everyone who has been remotely tuned in to recent progress in machine learning has heard of the current 2nd generation artificial neural networks used for machine learning. These are generally fully connected, take in continuous values, and output continuous values. Although they have allowed us to make breakthrough progress in many fields, they are biologically inn-accurate and do not actually mimic the actual mechanisms of our brain’s neurons.

How to Hack an Intelligent Machine

AI scientists try to trick smart systems into making dumb gaffes.

Common Misconceptions Executives Have About AI

The message to executives is clear: it’s time to understand and leverage trends in automation and artificial intelligence.

Could the Limits of Physics Soon Affect Cognitive Computing?

Cognitive computing needs will constantly tax current computing power levels. Will this barrier keep us from delivering on its promise in the coming years?

Superconducting Synapse Could Let Neuromorphic Chips Beat Brain’s Energy Efficiency

Scientists at the U.S. National Institute of Standards and Technology, in Boulder, Colo., have developed a superconducting device that acts like a hyperefficient version of a human synapse.

Introducing RLlib: A composable and scalable reinforcement learning library

RISE Lab’s Ray platform adds libraries for reinforcement learning and hyperparameter tuning.

Tutorial: Implement Object Recognition on Live Stream

The solution is built with TensorFlow, a handy and flexible computing system