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MIT apologizes, permanently pulls offline huge dataset that taught AI systems to use racist, misogynistic slurs

On Jul 2, 2020
@dmonett shared
RT @oliviasolon: "Thanks to MIT's cavalier approach when assembling its training set, though, these systems may also label women as whores or bitches, and Black and Asian people with derogatory language." https://t.co/PIhjcVTGpO
Open

Top uni takes action after El Reg highlights concerns by academics

www.theregister.com
On Jul 2, 2020
@dmonett shared
RT @oliviasolon: "Thanks to MIT's cavalier approach when assembling its training set, though, these systems may also label women as whores or bitches, and Black and Asian people with derogatory language." https://t.co/PIhjcVTGpO
Open


On Jun 30, 2020
@davegershgorn shared
RT @Sam_L_Shead: NEW: Twitter A.I. guru Ferenc Huszár is set to join Cambridge University's Department of Computer Science and Technology. Huszár was an early employee at Magic Pony, which was acquired by Twitter for a reported $150 million in 2016. https://t.co/OInhuEnlou
Open

Twitter A.I. guru who worked for Magic Pony is set to join Cambridge University

Twitter A.I. guru who worked for Magic Pony is set to join Cambridge University

Artificial intelligence expert Ferenc Huszár is set to leave his full-time role at Twitter and join the University of Cambridge.

On Jun 29, 2020
@Sam_L_Shead shared
Some context on why he's leaving in this piece https://t.co/6unVetQwvn
Open

AI Weekly: A deep learning pioneer’s teachable moment on AI bias

AI Weekly: A deep learning pioneer’s teachable moment on AI bias

Facebook chief AI scientist Yann LeCun got into a debate with Google AI ethics co-lead Timnit Gebru about bias, and there are lessons to draw from this.

On Jul 1, 2020
@vnfrombucharest shared
RT @brandondamos: One more interesting interpretation of the softmax is that it is a projection onto the simplex. The usual solution comes from the KKT conditions. Details in Ch 2 of my thesis: https://t.co/J2WhEWU4mw And you can implement it this way in PyTorch/TF with: https://t.co/BJcZasljk3 https://t.co/VGbeyXWwo5 https://t.co/Qtgymx2MGy
Open

Differentiable Convex Optimization Layers

Differentiable Convex Optimization Layers

CVXPY creates powerful new PyTorch and TensorFlow layers

On Jul 1, 2020
@Sam_L_Shead shared
Interesting Reddit thread here: "The machine learning community has a toxicity problem." https://t.co/JnyxQ0zRgM If you work in AI/machine learning and you'd like to talk about that then please feel free to get in touch. Contact details in bio.
Open
On Jul 3, 2020
@MIRIBerkeley shared
RT @FLIxrisk: Evan Hubinger from @MIRIBerkeley joins us on this episode of the AIAP to discuss how to ensure alignment between a model being trained and the objective function used to train it, as well as to evaluate three proposals for building safe advanced AI. https://t.co/zcrSz3ycSD
Open

Evan Hubinger on Inner Alignment, Outer Alignment, and Proposals for Building Safe Advanced AI

Evan Hubinger on Inner Alignment, Outer Alignment, and Proposals for Building Safe Advanced AI

In this episode of the AI Alignment Podcast, Evan Hubinger of MIRI joins us to discuss inner alignment, outer alignment, and three proposals for building safe advanced AI.

On Jun 30, 2020
@Sam_L_Shead shared
Pretty astonishing how many academic papers @demishassabis continues to contribute to while running a ~1000-person company. Here's his latest looking at a particular aspect of how monkey brains work. I like how it's called "macaque IT" in the paper https://t.co/cy4VdJrcta
Open

Click here to read the article

Click here to read the article

In particular, we showed that the axes of variation represented by single IT neurons align with single semantically meaningful “disentangled” latent units discovered by the β-VAE, a recent ...

On Jul 2, 2020
@math_rachel shared
@TimDasgupta @rctatman The https://t.co/ktYtgBpxGr NLP course covers transformers (and is free): https://t.co/yORn9f0Cgw
Open

new fast.ai course: A Code-First Introduction to Natural Language Processing

new fast.ai course: A Code-First Introduction to Natural Language Processing

The course teaches a blend of traditional NLP topics (including regex, SVD, naive bayes, tokenization) and recent neural network approaches (including RNNs, seq2seq, attention, and the ...

On Jul 2, 2020
@math_rachel shared
@TimDasgupta @rctatman The https://t.co/ktYtgBpxGr NLP course covers transformers (and is free): https://t.co/yORn9f0Cgw
Open

Making neural nets uncool again

Making neural nets uncool again

It’s a small world indeed… The dataset collection The following categories are currently included in the collection: Image classification, with a focus on fine-grained classification and ...

On Jun 29, 2020
@NathanBenaich shared
RT @Eric_Wallace_: Not everyone can afford to train huge neural models. So, we typically *reduce* model size to train/test faster. However, you should actually *increase* model size to speed up training and inference for transformers. Why? [1/6] 👇 https://t.co/GcjytCEmox https://t.co/HatYO5GfhP https://t.co/ivKyNo1ve0
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On Jul 1, 2020
@Raspberry_Pi shared
You can now use @thekhronosgroup OpenVX 1.3, an open, royalty-free API standard for cross-platform acceleration of computer vision applications, with your Raspberry Pi: https://t.co/yteFjo1A2Y https://t.co/i5HUKFS7vp
Open

OpenVX API for Raspberry Pi

OpenVX API for Raspberry Pi

Raspberry Pi is excited to bring the Khronos OpenVX 1.3 API to our line of single-board computers.

On Jul 1, 2020
@GoAbiAryan shared
RT @jeffclune: Fiber, an open source platform for distributed machine learning, esp population-based methods like Enhanced POET. Program locally with a standard multiprocessing API then deploy to thousands of workers on any cluster. https://t.co/KC727aFMQL @_calio @ruiwang2uiuc @kenneth0stanley
Open

Fiber: Distributed Computing for AI Made Simple

Fiber: Distributed Computing for AI Made Simple

Project Homepage: GitHub Over the past several years, increasing processing power of computing machines has led to an increase in machine learning advances. More and more, algorithms ...

On Jun 30, 2020
@dmonett shared
#AI "is a bag of disparate models and the future may need to involve a fundamental redesign of the popular connectionist approach of neural networks with the logical approach of reasoning systems to achieve a higher degree of generality & fault-tolerance." https://t.co/4OioEOUv18
Open

The Status and Future of AI

The Status and Future of AI

This article will present some thoughts on the status and the next years of AI evolution. Center stage are two dichotomies: (1) real AI applications vs.

On Jul 1, 2020
@Jaguilam2003 shared
RT @schmarzo: Unlearning opens the opportunity to “bend, break or blend” what you already know to create something new and more powerful in today’s digital age. Learn anew @DataScienceCtrl: https://t.co/kDs1BcGTRa #ML #AI #IoT @CloudExpo @ipfconline1 @HitachiVantara https://t.co/MTLlSdHbak
Open

2020 Challenge: Unlearn to Change Your Frame

2020 Challenge: Unlearn to Change Your Frame

Maybe the biggest challenge we face as a society is our ability to unlearn – to let go of – outdated concepts and beliefs in order to adopt new approaches. Our…

On Jul 1, 2020
@johnchavens shared
RT @maria_axente: @humanosmaistec @johnchavens @AnnCavoukian @dmonett @ShannonVallor @vdignum @DorotheaBaur Also, you might want to consult @tortoise AI index that analyses how 54 countries are driving and adapting to AI’s accelerating development through three pillars; investment, innovation and implementation. Some but not all have AI national strategies https://t.co/1PEAvDlmlY
Open

The Global AI Index

The Global AI Index

The Global AI Index analyses how 54 countries are driving and adapting to AI’s accelerating development through three pillars; investment, innovation and implementation. Our methodology The ...

On Jul 1, 2020
@ibogost shared
It is just so remarkable that “maybe computer people should, like, know something about the world and stuff” is the cutting-edge of “AI ethics” research. https://t.co/zzyIbcf90h https://t.co/7L9S5W2p0Q
Open

If AI is going to help us in a crisis, we need a new kind of ethics

If AI is going to help us in a crisis, we need a new kind of ethics

Jess Whittlestone at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge and her colleagues published a comment piece in Nature Machine Intelligence this ...

On Jun 28, 2020
@GoAbiAryan shared
RT @mrtz: Today we're launching WhyNot, an experimental sandbox for decision making in dynamics. WhyNot is a Python package connecting tools from causal inference and reinforcement learning with a range of complex simulators. Check it out: https://t.co/zXCIejXIK1
Open

Join GitHub today

Join GitHub today

A Python sandbox for decision making in dynamics. Contribute to zykls/whynot development by creating an account on GitHub.

On Jun 30, 2020
@AI_TechNews shared
RT @Developer_Tech: Amazon’s AI-powered code reviewer CodeGuru is now available https://t.co/CYiXJgRKxc #amazon #aws #coding #ai #news #tech https://t.co/H5QVrazaNA
Open

Amazon’s AI-powered code reviewer CodeGuru is now available

Amazon’s AI-powered code reviewer CodeGuru is now available

An artificial intelligence-powered code reviewer from Amazon Web Services (AWS) called CodeGuru has reached general availability.