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AIhub monthly digest: November 2021 – avoiding hype, musical dissonance, and AI thanksgiving

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
30 November 2021, by

What’s coming up at NeurIPS 2021?

Find out about the talks, workshops, tutorials, and other events scheduled at NeurIPS this year, taking place from 6-14 December, 2021.
29 November 2021, by

EMNLP 2021 in tweets

We bring you the livetweeted keynotes and papers from EMNLP in different languages.
26 November 2021, by

AIhub coffee corner: AI thanksgiving

The AIhub coffee corner captures the musings of AI experts over a 30-minute conversation.
25 November 2021, by

Interview with Tao Chen, Jie Xu and Pulkit Agrawal: CoRL 2021 best paper award winners

The award-winning authors describe their work on a system for general in-hand object re-orientation.
24 November 2021, by

How to spot AI hype

We share 10 tips to spot AI hype in the wild.
19 November 2021, by


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Machine learning in chemistry – a symposium

Four talks demonstrate the variety of ways in which machine learning can be applied to chemistry problems.
23 November 2021, by

A first-principles theory of neural network generalization

Find out more about research trying to shed light on the workings of deep neural networks.
22 November 2021, by

Compression, transduction, and creation: a unified framework for evaluating natural language generation

Our framework classifies language generation tasks into compression, transduction, and creation.
18 November 2021, by

Natural language processing model for African languages

AfriBERTa model enables computers to analyse text in African languages for many useful tasks.
17 November 2021, by

Machine learning for climate science and Earth observation – a webinar from Climate Change AI

Hear from Maike Sonnewald and Gustau Camps-Valls, as they talk about trustworthy AI for climate analysis and physics-aware machine learning.
16 November 2021, by

Making RL tractable by learning more informative reward functions: example-based control, meta-learning, and normalized maximum likelihood

This article presents MURAL, a method for learning uncertainty-aware rewards for RL.
15 November 2021, by

Analysing ice hockey videos with deep learning

Identifying players by their sweater numbers using multi-task learning.
12 November 2021, by

Stanford HAI 2021 fall conference: four radical proposals for a better society

Watch the recordings of the live streams from this two day event.
11 November 2021, by

Radical AI podcast: featuring Sasha Costanza-Chock

In this episode, Dylan and Jess chat to Sasha Costanza-Chock about design justice.
10 November 2021, by

Focus on sustainable cities and communities: call for contributions

We are looking for AI researchers, users and stakeholders to write, or talk, about their work relating to sustainable cities and communities.
09 November 2021, by

Forthcoming machine learning and AI seminars: November 2021 edition

A list of free-to-attend AI-related seminars that are scheduled to take place between 8 November and 31 December 2021.
08 November 2021, by

PICO: Pragmatic compression for human-in-the-loop decision-making

In this post, we outline a pragmatic compression algorithm called PICO.
05 November 2021, by

AI and music festival brings together musicians, artists and scientists

The Universitat Politècnica de Catalunya brings artificial intelligence to the AI and Music S+T+ARTS Festival in Barcelona.

AIhub coffee corner: are deep learning’s returns diminishing?

The AIhub coffee corner captures the musings of AI experts over a 30-minute conversation.
03 November 2021, by

We are delighted to announce the launch of Scicomm – a joint science communication project from AIhub and Robohub

Our new science communication platform aims to empower people to share stories about their robotics & AI work.
02 November 2021, by

Hot papers on arXiv from the past month: October 2021

What’s hot on arXiv? Here are the most tweeted papers that were uploaded onto arXiv during October 2021.
01 November 2021, by

Using imaging and machine learning tools to analyse features of plant leaves

Scientists have developed tools to discover attributes that contribute to water-use efficiency in crop plants during photosynthesis.
29 October 2021, by

Call for nominations: ACM SIGAI Autonomous Agents Research Award 2022

Find out more about this award and how you can make a nomination.
28 October 2021, by

AIhub monthly digest: October 2021 – life on land, foundation models and Beethoven’s 10th

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
27 October 2021, by

Unsolved ML safety problems

We provide a new roadmap for ML Safety and aim to refine the technical problems that the field needs to address.
26 October 2021, by

How to avoid hype when promoting your AI research

The AIhub trustees have compiled a handy guide to help you avoid hype when communicating your research.
25 October 2021, by

The Machine Ethics Podcast: AI readiness with Tim El-Sheikh

In this episode, Ben chats with Tim El-Sheikh about ethical AI as the smarter AI, the importance of a business AI strategy, getting data ready, and more.
22 October 2021, by

Join our team of AIhub ambassadors!

We are looking for people to join us as AIhub ambassadors.
21 October 2021, by

Interview with Lily Xu – applying machine learning to the prevention of illegal wildlife poaching

Lily Xu tells us about her work applying machine learning and game theory to wildlife conservation.
20 October 2021, by







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