Top news of the week: 26.03.2019.
#Robotics #DeepLearning #EmergingTech #Fintech #AI #robots #BigData #DataScience #MachineLearning #HealthTech
Robotics
Both companies and researchers publish videos of robots doing various tasks but they often fail to point out the limitations of the technology or that those results were achieved in lab conditions. https://t.co/gDJUQFYvDi
OpenRobotic Dreams, Robotic Realities: Why Is It So Hard to Build Profitable Robot Companies?
Roboticists need to discuss openly and honestly not only our successes but also our failures
GITAI Partners With JAXA to Send Telepresence Robots to Space
The founder and CEO of SCHAFT joins space robotics startup GITAI to develop telepresence robots
Both companies and researchers publish videos of robots doing various tasks but they often fail to point out the limitations of the technology or that those results were achieved in lab conditions. https://t.co/gDJUQFYvDi
OpenRobotic Dreams, Robotic Realities: Why Is It So Hard to Build Profitable Robot Companies?
Roboticists need to discuss openly and honestly not only our successes but also our failures
GITAI Partners With JAXA to Send Telepresence Robots to Space
The founder and CEO of SCHAFT joins space robotics startup GITAI to develop telepresence robots
Research
RT @seb_ruder: My PhD thesis Neural Transfer Learning for Natural Language Processing is now online. It includes a general review of transfer learning in NLP as well as new material that I hope will be useful to some.
https://t.co/PxfVRYuyjx https://t.co/XrYYYHx1ln
OpenNeural Transfer Learning for Natural Language Processing (PhD thesis)
This post discusses my PhD thesis "Neural Transfer Learning for Natural Language Processing" and some new material presented in it.
RT @lilianweng: If you are, like me, often ponder over the question of why DNN with so many parameters can generalize without severe overfitting, check this out: https://t.co/7uVIerFboE
OpenAre Deep Neural Networks Dramatically Overfitted?
If you are, like me, confused by why deep neural networks can generalize to out-of-sample data points without drastic overfitting, keep on reading.
RT @marcgbellemare: New post looking back at RL research at Google Brain in Montreal over the last ~18 months:
https://t.co/UAYh4DB8bR
One more year and we'll know why distributional RL works? @wwdabney @pcastr @hugo_larochelle @cholodovskis
OpenEighteen Months of RL Research at Google Brain in Montreal
Back in the summer of 2017, in-between a few farewell vacations around Europe, I became a (then-remote) member of the newly-formed Google Brain team in Montreal. My home office offered a ...
Ethics
Stanford’s new AI institute is inadvertently showcasing one of tech’s biggest problems https://t.co/DjM8rJSI1U via @qz Nice, @ruchowdh!
OpenStanford’s new AI institute is inadvertently showcasing one of tech’s biggest problems
"I do genuinely worry about the erasure of all the women and women of color who have built this industry."
Applications for the Governance of AI Fellowship, a 3 month research programme close this Thursday. It's an opportunity to do AI governance research, working with Allan Dafoe, @jjding99, @SophieCFischer, @JadeFLeung & Ben Garfinkel.
https://t.co/wTwlA6INlw
OpenGovernance of AI Fellowship
The Future of Humanity Institute is a multidisciplinary research institute at the University of Oxford.
Robotic Dreams, Robotic Realities: Why Is It So Hard to Build Profitable Robot Companies? https://t.co/ylCZMmxghP #robots #Robotics https://t.co/8sLzKx3apk
OpenRobotic Dreams, Robotic Realities: Why Is It So Hard to Build Profitable Robot Companies?
Roboticists need to discuss openly and honestly not only our successes but also our failures
Applied Use Cases
RT @jackclarkSF: @mark_riedl @Miles_Brundage Worth noting this scheme seems modelled on DeepDrive, a 2016-launched Berkeley program where a bunch of auto companies funded shared&pooled research https://t.co/0EJXi3afvA
OpenGuiding the Next Generation of Research
We are at the forefront of research on deep automotive perception through the integration of two very important technologies: vision and vehicles. Our Mission We seek to merge deep learning ...
RT @lilianweng: If you are, like me, often ponder over the question of why DNN with so many parameters can generalize without severe overfitting, check this out: https://t.co/7uVIerFboE
OpenAre Deep Neural Networks Dramatically Overfitted?
If you are, like me, confused by why deep neural networks can generalize to out-of-sample data points without drastic overfitting, keep on reading.
RT @MikeQuindazzi: 250 years of #economic growth fueled #EmergingTech Innovations >>> Enter #AI >>> @HarvardBiz via @MikeQuindazzi >>> #MachineLearning #DeepLearning #BigData #Fintech #DataScience #Robotics #HealthTech >>> https://t.co/PcAykcd0ea https://t.co/eIea6zoyNf
Open