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We built an AI tool to help set priorities for conservation in Madagascar: what we found

Daniele Silvestro has developed a tool that can help identify conservation and restoration priorities.
24 April 2024, by

Machine learning viability modelling of vertical-axis wind turbines

Researchers have used a genetic learning algorithm to identify optimal pitch profiles for the turbine blades.
22 April 2024, by

Beyond the mud: Datasets, benchmarks, and methods for computer vision in off-road racing

Off-road motorcycle racing poses unique challenges that push the boundaries of what existing computer vision systems can handle
17 April 2024, by

#AAAI2024 workshops round-up 4: eXplainable AI approaches for deep reinforcement learning, and responsible language models

We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
12 April 2024, by

Deep learning-powered system maps corals in 3D

A system developed at EPFL can produce 3D maps of coral reefs from camera footage in just a few minutes.
11 April 2024, by

Modeling extremely large images with xT

Introducing a new framework to model large images on contemporary GPUs while aggregating global context with local details.
08 April 2024, by



Going top shelf with AI to better track hockey data

Waterloo researchers get an assist from AI in identifying hockey players with greater accuracy and speed.
05 April 2024, by

The moderating effect of instant runoff voting

Providing mathematical backing for the argument that IRV favors moderate candidates in a way that plurality doesn’t.
04 April 2024, by

Navigating the new era of commerce: Exploring the relationship between anthropomorphism in voice assistants and user safety perception

Research looks at the impact of anthropomorphism in voice assistants on the acceptance and utilization of voice shopping.

AIhub monthly digest: March 2024 – human-robot interaction, serverless computing, and deep reinforcement learning for communication networks

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

Using machine learning to discover stiff and tough microstructures

Combining simulations and physical testing to forge materials with durability and flexibility for diverse engineering uses.
21 March 2024, by

Machine learning helps improve quality assurance for wind turbines

A collaboration between EPFL and the University of Glasgow has led to a ML algorithm to effectively detect concealed manufacturing defects in wind turbine composite blades.
19 March 2024, by

#AAAI2024 workshops round-up 3: human-centric representation learning, and AI to accelerate science and engineering

We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
18 March 2024, by

The shift from models to compound AI systems

State-of-the-art AI results are increasingly obtained by compound systems with multiple components, not just monolithic models.
15 March 2024, by

#AAAI2024 workshops round-up 2: AI for credible elections, and are large language models simply causal parrots?

We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
12 March 2024, by

Happy International Women’s Day!

We take a look back over the past year of AIhub content and highlight some of our favourite articles and interviews.
08 March 2024, by

#AAAI2024 workshops round-up 1: Cooperative multi-agent systems decision-making and learning

Read a summary of the cooperative multi-agent systems workshop which took place at AAAI 2024 in February.
06 March 2024, by

#AAAI2024 invited talk: Milind Tambe – using ML for social good

Winner of the 2024 AAAI Award for Artificial Intelligence for the Benefit of Humanity, Milind spoke about recent projects.
01 March 2024, by

AIhub monthly digest: February 2024 – causal relations in text, applied reinforcement learning, and AAAI 2024

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

Unlocking the potential of entity-centric knowledge graphs: transforming healthcare and beyond

The concept of entity-centric knowledge graphs holds promise in reshaping how we organize, access, and leverage data.
27 February 2024, by and

AI will let us read ‘lost’ ancient works in the library at Herculaneum for the first time

First passages of rolled-up Herculaneum scroll revealed.
19 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

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

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

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

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






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