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What’s coming up at #AAAI2024?

Find out what's on the programme at AAAI, due to take place in Vancouver next week.
15 February 2024, by

Interview with Elizabeth Ondula: Applied reinforcement learning

We spoke to Elizabeth Ondula about her work applying reinforcement learning in different domains.
13 February 2024, by

Forthcoming machine learning and AI seminars: February 2024 edition

A list of free-to-attend AI-related seminars that are scheduled to take place between 12 February and 31 March 2024.
12 February 2024, by

The Good Robot Podcast: Featuring Emily M. Bender and Alex Hanna

In this episode, Eleanor and Kerry talk to Emily M. Bender and Alex Hanna about AI hype.
09 February 2024, by

Long-term monitoring of bird flocks in the wild – interview with Kshitiz

Developing and applying computer vision techniques and datasets for non-invasive monitoring and analysis of migratory bird flocks in their natural habitats.
08 February 2024, by

RoboChem: a platform for optimising photochemical processes

Chemists at the University of Amsterdam have developed an autonomous chemical synthesis robot with an integrated machine learning unit.
07 February 2024, by



A list of resources, articles, and opinion pieces relating to generative AI models – February 2024 update

We've updated our list to include the latest LLM and generative AI resources.
06 February 2024, by and

Researchers train robotic sensor to read braille at high speed

Researchers have developed a robotic sensor that incorporates artificial intelligence techniques to read braille at speeds roughly double that of most human readers.
05 February 2024, by

Chameleon AI program classifies objects in satellite images faster

Programme uses just a handful of images to rapidly characterize new objects like ocean debris, deforestation zones, and urban areas.
02 February 2024, by

Interview with Fiona Anting Tan: Researching causal relations in text

In the second of our series of interviews with AAAI Doctoral Consortium participants, we hear from Fiona Anting Tan, PhD student at the National University of Singapore.
01 February 2024, by

The Good Robot Podcast: Melissa Heikkilä on why the stories we tell about AI matter

In this episode, Eleanor and Kerry talk to Melissa Heikkilä about why the stories we tell about AI matter
31 January 2024, by

AIhub monthly digest: January 2024 – closed-loop robot planning, crowdsourced clustering, and trustworthiness in GPT models

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
30 January 2024, by

Large language models validate misinformation, according to research

Systematic testing of OpenAI’s GPT-3 reveals that question format can influence models to agree with misinformation
29 January 2024, by

“Legal AI is a bit of a Wild West right now”

Leiden researcher Masha Medvedeva talks about the growing number of AI tools being developed for the legal sector.
26 January 2024, by

We used AI and satellite imagery to map ocean activities that take place out of sight, including fishing, shipping and energy development

A study combines satellite images, vessel GPS data and AI to reveal human industrial activities across the ocean
25 January 2024, by

Interview with Bo Li: A comprehensive assessment of trustworthiness in GPT models

Find out more about work that won an outstanding datasets and benchmark track award at NeurIPS 2023.
24 January 2024, by

Forthcoming machine learning and AI seminars: January 2024 edition

A list of free-to-attend AI-related seminars that are scheduled to take place between 23 January and 29 February 2024.
23 January 2024, by

The Good Robot Podcast: Rebecca Woods on large language models, language and meaning

In this episode, Eleanor and Kerry talk to Rebecca Woods about large language models.
22 January 2024, by

The Machine Ethics podcast: Avoidable misery with Adam Braus

In this episode, Ben chats to Adam Braus about natural stupidity, natural intelligence, misericordianism and avoidable misery, the positive outcomes of AI and more.
19 January 2024, by

Crowdsourced clustering via active querying

Find out more about crowdsourcing clustering, work which was presented at HCOMP 2023.
18 January 2024, by , and

#NeurIPS2023 invited talk: Lora Aroyo on data quality and diversity

Data labelling requires raters to make binary decisions when things are often not that simple. What can experiments tell us about the annotation process?
17 January 2024, by

Theoretical remarks on feudal hierarchies and reinforcement learning

Read about work that won an ECAI 2023 outstanding paper award.
16 January 2024, by

We and AI free online course “Living with AI” is back – tell your friends!

The second run of a five-week free course for anyone on AI starts on the 15th January 2023.
15 January 2024, by and

On noisy evaluation in federated hyperparameter tuning

Our work explores key sources of noise and shows that even small amounts of noise can have a significant impact on tuning methods.
12 January 2024, by

Interview with Changhoon Kim – enhancing the reliability of image generative AI

In the first of our series of interviews with AAAI Doctoral Consortium participants, we hear from Changhoon Kim, PhD student at Arizona State University.
11 January 2024, by

#NeurIPS2023 invited talk: Linda Smith on young humans and self-generated experience

In her invited talk, Linda Smith spoke about research monitoring young babies and how the findings could inform ML research.
10 January 2024, by

Generating physically-consistent local-scale climate change projections

Find out more about work presented at the AAAI 2023 Fall Symposium.
09 January 2024, by

Agent Teaming in Mixed-Motive Situations – an AAAI Fall symposium

Read some of the highlights of this symposium from one of the organisers.
08 January 2024, by

The Truth about AI – 2023 Royal Institute Christmas Lectures with Mike Wooldridge

If you missed the Christmas lectures you can catch up on the series of three here.
05 January 2024, by

Interview with Christopher Chandler: closed-loop robot reactive planning

Christopher Chandler tells us about work creating multi-step plans for a wheeled robot so that it can avoid immediate danger.
04 January 2024, by






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