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Top news of the week: 30.03.2021.

#neuralnetworks
#NLP
#Day1
#deeplearning
#aws
#ml

Research

@hardmaru shared
On Mar 27, 2021
RT @SchmidhuberAI: 26 March 1991: Neural nets learn to program neural nets with fast weights - like today’s Transformer variants. Deep learning through additive weight changes. 2021: New work with Imanol & Kazuki. Also: fast weights for metalearning (1992-) and RL (2005-) https://t.co/pJ1raBlpwJ
Open
26 March 1991: Neural nets learn to program neural nets with fast weights—like today's Transformer variants. 2021: New stuff!

26 March 1991: Neural nets learn to program neural nets with fast weights—like today's Transformer variants. 2021: New stuff!

FWPs can solve the famous vanishing gradient problem aka deep learning problem (analyzed a few months later in 1991[VAN1]) through additive fast weight changes (Sec. 1991: NNs …

@lawrennd shared
On Mar 29, 2021
RT @MagnusRattray: New postdoc position in probabilistic machine learning for biological systems modelling, working with the @TheAsheLab on their beautiful data - we're flexible about methods, recent work includes Gaussian processes and deep learning approaches https://t.co/ne6r7EQFK2
Open
Research Associate in probabilistic machine learning for biological systems modelling Oxford Road, Manchester

Research Associate in probabilistic machine learning for biological systems modelling Oxford Road, Manchester

Job reference: BMH-016533 Location: Oxford Road, Manchester Closing date (DD/MM/YYYY): 22/04/2021 Salary: £32,816 to £38,017 per annum (according to relevant experience) …

@peteskomoroch shared
On Mar 24, 2021
RT @hervenivon: Look at these smiles! Today @huggingface and @awscloud are happy to announce their collaboration to help ML practitioners scale their #NLP projects. 🚀 An amazing achievement @julien_c, @ClementDelangue, and team! 🤗 Still #Day1! https://t.co/Z7Agn3Cg9F #aws #ml #deeplearning
Open
The Partnership: Amazon SageMaker and Hugging Face

The Partnership: Amazon SageMaker and Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

@stanfordnlp shared
On Mar 24, 2021
RT @StanfordHAI: The words we choose reveal what we think, how we feel and what our biases are. Linguist and computer scientist @jurafsky explores how natural language processing can reveal the human emotions and social meanings behind our words. https://t.co/mqhy6eCRUa
Open
How AI is Changing Our Understanding of Language

How AI is Changing Our Understanding of Language

Linguist and computer scientist Dan Jurafsky explores how AI is expanding from capturing individual words and sentences to modeling the social nature of language. 

@peteskomoroch shared
On Mar 25, 2021
RT @Techmeme: Apple bought the most AI companies globally from 2016 to 2020, with 25 acquisitions; Apple, Google, Microsoft, and Facebook collectively bought 60 AI companies (GlobalData) https://t.co/z1OUDon7Vf https://t.co/OjKbgnKDhz
Open
25 Mar 2021 Apple the top acquirer of AI companies while other US tech giants also among the forerunners, says GlobalData

25 Mar 2021 Apple the top acquirer of AI companies while other US tech giants also among the forerunners, says GlobalData

US tech giants are leading the AI companies acquisition race Four FAAMG companies feature in the list of top five acquirers of AI companies, with...

@johnplattml shared
On Mar 24, 2021
RT @GoogleAI: Predicting the function of proteins using #neuralnetworks can greatly aid medical research. We are proud to collaborate with @emblebi to extend the @PfamDB database of functionally annotated proteins by 10% as part of the v34.0 release. Learn more below! https://t.co/vYnPpGZGaC
Open
Google Research Team bring Deep Learning to Pfam

Google Research Team bring Deep Learning to Pfam

We are delighted to announce the first fruits of a collaboration between the Pfam team and a Google Research team led by Dr Lucy Colwell, with Maxwell Bileschi and David Belanger. In 2019, ...

@MSFTResearch shared
On Mar 24, 2021
Microsoft researchers used network machine learning to analyze collaboration in Microsoft 365 for this year’s Work Trend Index. Learn how Graph AI reveals insights into changes in workplace communication and what that may mean for the future of innovation: https://t.co/sq5FXvAsjH
Open
Advancing organizational science using network machine learning to measure innovation in the workplace

Advancing organizational science using network machine learning to measure innovation in the workplace

Is innovation another loss due to the global COVID-19 pandemic? Indicators reveal challenges to overcome—as well as opportunities to build on our collective experience gained in the last ...

@mxlearn shared
On Mar 24, 2021
[R] Mastering Real-Time Strategy Games with Deep Reinforcement Learning: Mere Mortal Edition https://t.co/H9tgDr6YAt
Open
[R] Mastering Real-Time Strategy Games with Deep Reinforcement Learning: Mere Mortal Edition

[R] Mastering Real-Time Strategy Games with Deep Reinforcement Learning: Mere Mortal Edition

16 votes and 3 comments so far on Reddit

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