TL; DR when you look at the 10% most-cited papers in AI---China will surpass us next year. Of course, publishing research papers isn't zero-sum game, but the US being relegated to number two is no picnic either. https://t.co/m77VYGwF97
— Oren Etzioni (@etzioni) March 13, 2019
If you care about inclusivity and diversity in tech, read this take by @chipro. If we want an inclusive culture, we can't have misogynists and people who discriminate minorities act as gatekeepers in our field. Thank you, @chipro, for speaking openly about this! https://t.co/r4iH1QAgS8
— Sebastian Ruder (@seb_ruder) March 12, 2019
Tweaks to the training loop needed for mixed precision training: pic.twitter.com/aRWf1PAKu1
— Rachel Thomas (@math_rachel) March 12, 2019
Leslie Smith @lnsmith613 is one of my machine learning heros too, so I'm thrilled that @bhutanisanyam1 has made this interview available for us! :) https://t.co/YHSSmVqXwS
— Jeremy Howard (@jeremyphoward) March 12, 2019
When I first heard about OpenAI LP, I was concerned, as OAI's non-profit status was part of what attracted me. But I've since come around about the idea for two reasons: 1. As I dug into the details, I realized many steps had been taken to ensure the org remains mission-centric.
— Miles Brundage (@Miles_Brundage) March 11, 2019
I would like to pre-order one AGI, please. Gotta get the revenue stream started to get to the 100x cap ;) https://t.co/GSM7EZOfpA
— Denny Britz (@dennybritz) March 11, 2019
We’ve created OpenAI LP, a new “capped-profit” company that allows us to rapidly increase our investments in compute and talent while including checks and balances to actualize our mission. https://t.co/OAkatL2vyy pic.twitter.com/loqckUZPzB
— OpenAI (@OpenAI) March 11, 2019
Reminder that major tech companies spend a lot of money lobbying against privacy lawshttps://t.co/Mftvi3qZJJ pic.twitter.com/DZcODQSMzm
— Rachel Thomas (@math_rachel) March 11, 2019
Soooo.... the hospital and or doctor/staff ratted out this stage 4 cancer patient to the police?
— Bryan William Jones (@BWJones) March 9, 2019
What happened to do no harm? https://t.co/8rdp5Dsgoz
Nice piece. Lack of proper normalization is the tip of the "avoiding #Statistics" iceberg: Forbes: How Data Scientists Turned Against Statistics.https://t.co/xptxDfbBHj
— Frank Harrell (@f2harrell) March 9, 2019
via @GoogleNews
Earlier this week, we launched #Bolo in India: a reading tutor app powered by #GoogleAI text-to-speech & speech recognition. Had the chance to visit some students today who are learning to read using Bolo, excited for all the great books they’ll discover! https://t.co/HVwZe4SAMk pic.twitter.com/H6vVYD8SNV
— Sundar Pichai (@sundarpichai) March 8, 2019
Machine Learning and Testing, from the perspective of a developer
— Radek Osmulski (@radekosmulski) March 8, 2019
Indirectly touches on:
✅what are the various facets of testing?
✅does automated testing have a place in ML?
✅what are the responsibilities of orgs writing life impacting code?https://t.co/VHCUlrgKHk
