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Madagascar’s ancient baobab forests are being restored by communities – with a little help from AI
The Conversation
24 May 2024
The collaboration between communities and scientists aims to restore baobab forests in Madagascar to their natural state.
#ICLR2024 invited talk: Priya Donti on why your work matters for climate more than you think
Lucy Smith
21 May 2024
How is AI research related to climate, and how can the AI community better align their work with climate change-related goals?
Trotting robots offer insights into animal gait transitions
EPFL
17 May 2024
A four-legged robot trained with machine learning has learned to avoid falls by spontaneously switching between walking, trotting, and pronking
Machine learning enhances monitoring of threatened marbled murrelet
Oregon State University
16 May 2024
CNN analysis of data gathered by acoustic recording devices is a promising new tool for monitoring secretive species.
Understanding AI outputs: study shows pro-western cultural bias in the way AI decisions are explained
The Conversation
14 May 2024
Researchers found that many existing systems may produce explanations that are primarily tailored to individualist, typically western, populations
5 questions schools and universities should ask before they purchase AI tech products
The Conversation
01 May 2024
Every few years, an emerging technology shows up at the doorstep of schools and universities promising to transform education.
monthly digest
AIhub monthly digest: April 2024 – explainable AI, access to compute, and noughts and crosses
Lucy Smith
30 Apr 2024
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
We built an AI tool to help set priorities for conservation in Madagascar: what we found
The Conversation
24 Apr 2024
Daniele Silvestro has developed a tool that can help identify conservation and restoration priorities.
Machine learning viability modelling of vertical-axis wind turbines
EPFL
22 Apr 2024
Researchers have used a genetic learning algorithm to identify optimal pitch profiles for the turbine blades.
Beyond the mud: Datasets, benchmarks, and methods for computer vision in off-road racing
ML@CMU
17 Apr 2024
Off-road motorcycle racing poses unique challenges that push the boundaries of what existing computer vision systems can handle
#AAAI2024 workshops round-up 4: eXplainable AI approaches for deep reinforcement learning, and responsible language models
AIhub
12 Apr 2024
We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
Deep learning-powered system maps corals in 3D
EPFL
11 Apr 2024
A system developed at EPFL can produce 3D maps of coral reefs from camera footage in just a few minutes.
Modeling extremely large images with xT
BAIR blog
08 Apr 2024
Introducing a new framework to model large images on contemporary GPUs while aggregating global context with local details.
Going top shelf with AI to better track hockey data
University of Waterloo
05 Apr 2024
Waterloo researchers get an assist from AI in identifying hockey players with greater accuracy and speed.
The moderating effect of instant runoff voting
Kiran Tomlinson
04 Apr 2024
Providing mathematical backing for the argument that IRV favors moderate candidates in a way that plurality doesn’t.
Navigating the new era of commerce: Exploring the relationship between anthropomorphism in voice assistants and user safety perception
Guillermo Calahorra-Candao and María José Martín-De Hoyos
03 Apr 2024
Research looks at the impact of anthropomorphism in voice assistants on the acceptance and utilization of voice shopping.
monthly digest
AIhub monthly digest: March 2024 – human-robot interaction, serverless computing, and deep reinforcement learning for communication networks
Lucy Smith
02 Apr 2024
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Using machine learning to discover stiff and tough microstructures
MIT News
21 Mar 2024
Combining simulations and physical testing to forge materials with durability and flexibility for diverse engineering uses.
Machine learning helps improve quality assurance for wind turbines
EPFL
19 Mar 2024
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.
#AAAI2024 workshops round-up 3: human-centric representation learning, and AI to accelerate science and engineering
AIhub
18 Mar 2024
We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
The shift from models to compound AI systems
BAIR blog
15 Mar 2024
State-of-the-art AI results are increasingly obtained by compound systems with multiple components, not just monolithic models.
#AAAI2024 workshops round-up 2: AI for credible elections, and are large language models simply causal parrots?
AIhub
12 Mar 2024
We hear from the organisers of two workshops at AAAI2024 and find out the key takeaways from their events.
Happy International Women’s Day!
Lucy Smith
08 Mar 2024
We take a look back over the past year of AIhub content and highlight some of our favourite articles and interviews.
#AAAI2024 workshops round-up 1: Cooperative multi-agent systems decision-making and learning
Qin Yang
06 Mar 2024
Read a summary of the cooperative multi-agent systems workshop which took place at AAAI 2024 in February.
#AAAI2024 invited talk: Milind Tambe – using ML for social good
Lucy Smith
01 Mar 2024
Winner of the 2024 AAAI Award for Artificial Intelligence for the Benefit of Humanity, Milind spoke about recent projects.
monthly digest
AIhub monthly digest: February 2024 – causal relations in text, applied reinforcement learning, and AAAI 2024
Lucy Smith
29 Feb 2024
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Unlocking the potential of entity-centric knowledge graphs: transforming healthcare and beyond
Christos Theodoropoulos and Leuven.AI Stories
27 Feb 2024
The concept of entity-centric knowledge graphs holds promise in reshaping how we organize, access, and leverage data.
AI will let us read ‘lost’ ancient works in the library at Herculaneum for the first time
The Conversation
19 Feb 2024
First passages of rolled-up Herculaneum scroll revealed.
RoboChem: a platform for optimising photochemical processes
University of Amsterdam
07 Feb 2024
Chemists at the University of Amsterdam have developed an autonomous chemical synthesis robot with an integrated machine learning unit.
Researchers train robotic sensor to read braille at high speed
University of Cambridge
05 Feb 2024
Researchers have developed a robotic sensor that incorporates artificial intelligence techniques to read braille at speeds roughly double that of most human readers.
Chameleon AI program classifies objects in satellite images faster
EPFL
02 Feb 2024
Programme uses just a handful of images to rapidly characterize new objects like ocean debris, deforestation zones, and urban areas.
monthly digest
AIhub monthly digest: January 2024 – closed-loop robot planning, crowdsourced clustering, and trustworthiness in GPT models
Lucy Smith
30 Jan 2024
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Large language models validate misinformation, according to research
University of Waterloo
29 Jan 2024
Systematic testing of OpenAI’s GPT-3 reveals that question format can influence models to agree with misinformation
We used AI and satellite imagery to map ocean activities that take place out of sight, including fishing, shipping and energy development
The Conversation
25 Jan 2024
A study combines satellite images, vessel GPS data and AI to reveal human industrial activities across the ocean
Crowdsourced clustering via active querying
Find out more about crowdsourcing clustering, work which was presented at HCOMP 2023.
#NeurIPS2023 invited talk: Lora Aroyo on data quality and diversity
Lucy Smith
17 Jan 2024
Data labelling requires raters to make binary decisions when things are often not that simple. What can experiments tell us about the annotation process?
