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In the News
Real or Fake? AI is making it very hard to know
Thanks to machine learning, it’s becoming easy to generate realistic video, and to impersonate someone.
Google I/O
Two interesting A.I.-related announcements at Google's I/O event this week:
- Google Lens — point your camera at something and Google will try to tell you what you are looking at and give you contextual info
- 2nd generation TPU chips for faster A.I. training and inference. They will be available on Google Cloud Platform soon.
Yann Lecun: Machines could learn common sense from video
Yann LeCun says the next frontier in machine vision is software that learns just by observing the world.
Sent to prison by a software program’s secret algorithms
Will AI come to play a role in courts?
Also in the news...
- Apple acquires AI company Lattice Data for $200M. More
- Cisco acquires conversational AI company Mindmeld for $125M. More
- Melinda Gates and Fei Fei Li want to "liberate AI from guys with hoodies". Interview
- Nvidia reaches out to VCs to fund and build the AI ecosystem. More
- Taser will use police body cameras to anticipate criminal activity. More
Learning
Robots that Learn
Open AI has trained a robotics system, trained entirely in simulation and deployed on a physical robot, which can learn a new task after seeing it done once.
Using Deep Learning at scale in Twitter’s timelines
Twitter provides interesting details on its deep learning-powered ranking algorithm used to create users' timelines.
Facebook's novel approach to neural machine translation
Facebook published research results using a novel convolutional neural network approach for language translation that achieves state-of-the-art accuracy at nine times the speed of recurrent neural systems. Source code and trained systems are available on Github.
Software tools & code
Announcing SyntaxNet: Google's parser
SyntaxNet is an open-source neural network framework implemented in TensorFlow that provides a foundation for Natural Language Understanding (NLU) systems.
Deformable Convolutional Networks
"Deformable Convolutions are a drop-in tool for neural networks to let you sample from a large and more disparate set of points over an image, potentially helping with more complex classification tasks. "
Hardware
Inside the Volta GPU
Nvidia unveiled the Volta GPU, a massive new GPU — 5120 CUDA cores and 15 TFLOP/s of single precision performance
Why NVIDIA is building its own TPU
While recent advancements in Deep Learning have been fueled by GPUs, there is speculation that application-specific circuits (ASICs) such as Google's TPU might overshadow GPUs in the future. NVIDIA has announced they are working on their own TPU and will open-source the resulting technology.
Brains & Neurons
Mind-reading algorithms reconstruct what you’re seeing using brain-scan data
Perceived images are hard to decode from fMRI scans. But a new kind of neural network approach now makes it easier and more accurate.
Some thoughts
Neural Network-Generated Illustrations
Google generating custom smileys/illustrations in Allo
The Promise of AI
Presentation by Frank Chen (partner at a16z) on the way companies are using A.I. today and what is just a few years away from productization in research labs.
About
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