Top news of the week: 09.10.2019.
Machine learning, Artificial intelligence, Evolutionary robotics, University of California, Berkeley, Computer vision, Embedded system
Robotics
RT @Robohub: 30 women in robotics you need to know about – 2019 https://t.co/TFGfiZdgKJ https://t.co/1i5ynwLXk5
Open30 women in robotics you need to know about – 2019
30 women in robotics you need to know about – 2019
svrobo: World's most publicized robotics company? - Guess who! https://t.co/Yvo3q0wwlf https://t.co/WNcVykEDEJ
Open2020 East Bay Innovation Awards
https://robohub.org/2019-robot-launch-startup-competition-is-open/ Applications are now open until September 2nd 6pm PDT. Finalists may receive up to $500k in investment offers, plus space ...
svrobo: So pleased to be partnering with LitQuake on a great robotics and AI event with ken_goldberg tiffanyshlain timoreilly janemetcalfe and Duncande - SF Oct 15th! https://t.co/dsfXDWhmR2
Open
RT @Robohub: 30 women in robotics you need to know about – 2019 https://t.co/TFGfiZdgKJ https://t.co/1i5ynwLXk5
Open30 women in robotics you need to know about – 2019
30 women in robotics you need to know about – 2019
svrobo: World's most publicized robotics company? - Guess who! https://t.co/Yvo3q0wwlf https://t.co/WNcVykEDEJ
Open2020 East Bay Innovation Awards
https://robohub.org/2019-robot-launch-startup-competition-is-open/ Applications are now open until September 2nd 6pm PDT. Finalists may receive up to $500k in investment offers, plus space ...
svrobo: So pleased to be partnering with LitQuake on a great robotics and AI event with ken_goldberg tiffanyshlain timoreilly janemetcalfe and Duncande - SF Oct 15th! https://t.co/dsfXDWhmR2
OpenApplied Use Cases
RT @DeepMindAI: In our new blog post, @csilviavr and @wsisaac explain how Causal Bayesian Networks can be used to identify and address biases embedded in datasets:
https://t.co/clzlyjQ2XN
OpenCausal Bayesian Networks: A flexible tool to enable fairer machine learning
We research and build safe AI systems that learn how to solve problems and advance scientific discovery for all. Explore our work: deepmind.com/research
RT @gdb: A GPT-2 written essay was submitted to the Economist's youth essay contest.
One judge, who did not know the essay was written by an AI, gave this review: "It is strongly worded and backs up claims with evidence, but the idea is not incredibly original."
https://t.co/RbKrQvN8C0
OpenHow to respond to climate change, if you are an algorithm
We ran our youth essay question through an artificial-intelligence system to produce an essay
A remarkable thing about this whole “AI Ethics” trend is how the people and companies who make technology products and services all seem to think this is just *happening to them*, as if they are mere bystanders to a natural phenomenon. https://t.co/WielwJkzdE
OpenHow to operationalize AI ethics
Panelists from LinkedIn, Center for Data Ethics, and Georgian Partners at TWIMLcon discussed how teams and organizations can operationalize responsible AI.
Ethics
RT @oiioxford: Monday 21 October, ‘The Ethics of Artificial Intelligence’, in conversation with Rt Revd Steven Croft, Bishop of Oxford and @oiioxford Professor @Floridi part of the IF Oxford Science and Ideas Festival. Register: https://t.co/UZy9uPl0BI @oxfordethicslab@pnhoward
OpenThe ethics of artificial intelligence
he brave new world of artificial intelligence is coming to a mobile phone, hospital or a supermarket near you. What are the challenges and opportunities autonomous systems may bring as they ...
RT @OfficeforAI: We're organising workshops throughout the month to test our draft Guidelines for #AI procurement, and have a few places left.
📩 DM if you want to get involved.
📖 Read the Guidelines: https://t.co/3dWfSPJyuo https://t.co/dGCLDW8HjP
OpenDraft Guidelines for AI procurement
A summary of best practice addressing specific challenges of acquiring Artificial Intelligence in the public sector
Research
RT @rsalakhu: Ultra-Wide Deep Nets and the Neural Tangent Kernel (NTK) – Blog | Machine Learning | Carnegie Mellon University https://t.co/Yw5uAftH5F
OpenUltra-Wide Deep Nets and the Neural Tangent Kernel (NTK)
Traditional wisdom in machine learning holds that there is a careful trade-off between training error and generalization gap. There is a "sweet spot" for the model complexity such that the ...
RT @egrefen: Announcing TorchBeast, an IMPALA-inspired @pytorch platform for distributed RL research. Used in a growing number of projects here at @facebookai. Project lead by Heinrich Küttler, with major effort by @nntsn et al.
Paper: https://t.co/HMYTtesSqC
Code: https://t.co/vadpUsyvaZ
OpenPlease note that GitHub no longer supports your web browser.
A PyTorch Platform for Distributed RL. Contribute to facebookresearch/torchbeast development by creating an account on GitHub.