I'm happy to announce that the 6th edition of the Machine Learning for Systems workshop (mlforsystems.org) will take place at @NeurIPSConf on December 3rd 2022.
Papers are due on Sept, 30th. See our CFP at mlforsystems.org/call_for_pa… for all the details.
Benoit Steiner retweeted
We open source RLMeta, an RL framework (led by @BIT_silence) that uses Python's asyncio for efficient communication among environments, and supports graph neural networks as policy/value for distributed RL training with a clean interface. Welcome to use! github.com/facebookresearch/…
We recently leveraged reinforcement learning to quickly compile deep neural networks and run them 5 times faster than PyTorch could. Check out our paper at proceedings.mlsys.org/paper/… for all the details
The 5th edition of the #MLForSystems workshop will take place on Dec 12th during the #NeurIPS conference. Paper submissions are due by Oct 8th. Check out the CFP at mlforsystems.org/call_for_pa… for all the details.
Using machine intelligence to detect outbreaks of infectious diseases faster: j.mp/1BAeXM0
Debugging Sonos wifi connectivity issues with its hidden web interface: j.mp/1gjZhF3
How to disable the WiFi adapter on a Sonos player to reduce wireless interference: j.mp/NS8eZd
Microsoft is adding a voice recognition system dubbed Cortana to windows phone: bit.ly/1lPnqm3
Facebook new neural network based face recognition pipeline almost reaches human level performance. on.fb.me/1i2r3Su
Thanks to GPUs, training a deep neural networks is now practical even if you don't have access to Google Brain: bit.ly/OWsEAT
A interesting look into the use of Neural Networks at Google: vimeo.com/77050653#t=24m37s