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Artificial Intelligence

Top news of the week: 10.03.2022.

#AI
#ScientificResearch
#deeplearning
#bias
#Racism
#NLP

Research

@shakir_za shared
On Mar 6, 2022
RT @network_alba: This webinar is interrogating how scientific advancements might be entangled with racialised ways of thinking: #AI & #Racism – What are the implications for #ScientificResearch? 7 March at 5 pm CET/11 am EST 👉🏿 Register here https://t.co/c3ZAJ5DXzZ @shakir_za #deeplearning #bias https://t.co/ORqpKeUyFG
Open
Artificial Intelligence and Racism – What are the implications for scientific research?

Artificial Intelligence and Racism – What are the implications for scientific research?

In this webinar, Dr Shakir Mohamed (DeepMind) looks at the ways scientific advancements might be entangled with racialised ways of thinking.

@stanfordnlp shared
On Mar 6, 2022
RT @elenaneira: Take Stanford's Natural Language Understanding For Free #AI #NLP https://t.co/2Bq6wsEYwu https://t.co/XDt3Brh8V5
Open
Take Stanford's Natural Language Understanding For Free

Take Stanford's Natural Language Understanding For Free

Programming book reviews, programming tutorials,programming news, C#, Ruby, Python,C, C++, PHP, Visual Basic, Computer book reviews, computer history, programming history, joomla, theory, ...

@jeremyphoward shared
On Mar 4, 2022
If you're interested in living in one of the world's most beautiful, safe, fun, and awesome places, and working with fascinating people on high impact AI research and teaching, talk to me! Australia has a great visa program for AI talent. https://t.co/rVINFLr59h
Open
We’re building a better future through pioneering Artificial Intelligence research, teaching and partnerships.

We’re building a better future through pioneering Artificial Intelligence research, teaching and partnerships.

The University of Queensland recognises the long-term implications of AI and is committed to drive innovations in AI research and its application. The research strengths of UQ …

@mxlearn shared
On Mar 7, 2022
[R] Collaborator Needed: Looking for Collaborators in Unique Study of Butterflies https://t.co/RWSavEWL19
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[R] Collaborator Needed: Looking for Collaborators in Unique Study of Butterflies

[R] Collaborator Needed: Looking for Collaborators in Unique Study of Butterflies

1 vote and 0 comments so far on Reddit

@MSFTResearch shared
On Mar 8, 2022
When a neural network is too large to pretrain more than once, tuning its hyperparameters is practically impossible. Today, we announce μTransfer—a new technique that can tune the 6.7 billion parameter GPT-3 model using only 7% of the pretraining compute: https://t.co/RnS5HZboq0
Open
µTransfer: A technique for hyperparameter tuning of enormous neural networks

µTransfer: A technique for hyperparameter tuning of enormous neural networks

Great scientific achievements cannot be made by trial and error alone. Every launch in the space program is underpinned by centuries of fundamental research in aerodynamics, propulsion, and ...

@rsalakhu shared
On Mar 4, 2022
Assessing Generalization of SGD via Disagreement – Machine Learning Blog | ML@CMU | Carnegie Mellon University https://t.co/V9NETZFoBu
Open
Assessing Generalization of SGD via Disagreement

Assessing Generalization of SGD via Disagreement

Imagine training a deep network twice with two different random seeds on the same data, and then measuring the rate at which they disagree on unlabeled test points. Naively, they can ...

@peteskomoroch shared
On Mar 7, 2022
RT @EdgeImpulse: Google has patented technology that enables users to control wearables like smartwatches and earbuds by simply touching their skin. https://t.co/ckOeEvrkpA
Open
Google may be developing wearables that respond to skin gestures

Google may be developing wearables that respond to skin gestures

Google has patented tech that allows users to control wearables like smartwatches and earbuds using skin gestures. Here's how it works.

@mxlearn shared
On Mar 6, 2022
"[Research]" How should variable-length input data be handled during the testing stage? https://t.co/XVNKf6nvRP
Open
"[Research]" How should variable-length input data be handled during the testing stage?

"[Research]" How should variable-length input data be handled during the testing stage?

6 votes and 1 comment so far on Reddit

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