Top news of the week: 24.04.2020.
#news #tech #society #ai #ethics
Applied Use Cases
RT @DeepMind: What happens if AI ingenuity is applied to an imperfectly specified task? This can result in specification gaming: an agent exploiting a loophole at the expense of the intended outcome. Why does it happen, & how can it be overcome?
Read our latest post: https://t.co/FDm2iiutWX
OpenSpecification gaming: the flip side of AI ingenuity
Specification gaming is a behaviour that satisfies the literal specification of an objective without achieving the intended outcome. We have all had experiences with specification gaming, ...
Leading AI researchers propose ‘toolbox’ for verifying ethics claims https://t.co/PRWu1Jeez7 #news #tech #ethics #society #ai https://t.co/ts1unAxkIk
OpenLeading AI researchers propose ‘toolbox’ for verifying ethics claims
Researchers from OpenAI, Google Brain, Intel, and 28 other leading organisations have published a paper which proposes a ‘toolbox’ for verifying AI ethics claims.
RT @PyTorch: v1.5: autograd API for Hessians/Jacobians, C++ frontend stable and 100% parity with Python, Better performance on GPU and CPU with Tensor Format ‘channels last’, distributed.rpc stable, Custom C++ class binding
Release notes: https://t.co/P3iisDOoRg
Blog: https://t.co/svnBmPyGHV
OpenPyTorch 1.5.0 Release Notes
Tensors and Dynamic neural networks in Python with strong GPU acceleration - pytorch/pytorch
@ziebrah @RDBinns Much (but not all) of what I have to say on the topic is in the Mythos paper (CACM): https://t.co/o43Zbdf75W
OpenThe Mythos of Model Interpretability
In machine learning, the concept of interpretability is both important and slippery.
RT @EXGRV: Training with QuantNoise allows to strongly compress neural networks: 80.0% accuracy on ImageNet in 3.3MB, 82.5MB accuracy on MNLI in 14MB.
Blog: https://t.co/lfzoVpuvnv
Paper: https://t.co/CbSwRVePqd
OpenTraining with quantization noise for extreme model compression
Quant-Noise is a new technique to enable extreme compression of state-of-the-art NLP and CV models without significantly affecting performance.
RT @went1955: ‘Our message is that we need to be more careful about evaluating these techniques. Especially in this day and age when machine learning is getting more and more complicated, it’s important to have understanding of what can and cannot be done’ (ht @dmonett) https://t.co/WxVk55Gkae
OpenWidely Used AI Machine Learning Methods Don’t Work as Claimed
Researchers demonstrated the mathematical impossibility of representing social networks and other complex networks using popular methods of ‘low-dimensional embeddings.’ Models and ...
RT @D2L_ai: Here is an introduction to https://t.co/MzhIsafM8o by KDnuggets https://t.co/g8Uacp3U9u
OpenDive Into Deep Learning: The Free eBook
This freely available text on deep learning is fully interactive and incredibly thorough. Check out "Dive Into Deep Learning" now and increase your neural networks theoretical understanding ...
As a reader, I’m always so grateful for the sharp historical lens @ibogost brings to his work. Read him here on what will become of the post-pandemic grocery store: https://t.co/iTYsBBRoFd
OpenThe Supermarket After the Pandemic
The coronavirus will change grocery stores, and probably not for the better.