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#AAAI2023 invited talk: Isabelle Augenstein on modelling information change in scientific communication
Lucy Smith
14 Mar 2023
Isabelle spoke about using natural language processing to address problems in science communication.
RLPrompt: Optimizing discrete text prompts with reinforcement learning
ML@CMU
07 Mar 2023
We propose an efficient discrete prompt optimization approach with reinforcement learning.
Think like a human: the present and future of logic for trustworthy rational robots
Daniele Meli
03 Mar 2023
Learning-based solutions are efficient, but are they trustworthy enough to be embedded in a robot cooperating with or assisting humans?
#AAAI2023 workshops round-up 1: AI for credible elections, and responsible human-centric AI
AIhub
01 Mar 2023
The organisers of two of the AAAI2023 workshops tell us their key takeaways from their respective events.
monthly digest
AIhub monthly digest: February 2023 – attending AAAI, awards galore, and GPT-3 for 5-minute crafts
Lucy Smith
28 Feb 2023
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Deep learning tool boosts X-ray imaging resolution with application to hydrogen fuel cells
University of New South Wales
27 Feb 2023
Researchers develop algorithm to significantly enhance images of hydrogen fuel cells.
#AAAI2023 invited talk: Manuela Veloso on experience-based insights from AI in robotics and AI in finance
Lucy Smith
24 Feb 2023
The winner of the 2023 Robert S. Engelmore Memorial Award talks about autonomous robots and AI in finance.
AI can track bees on camera. Here’s how that will help farmers
The Conversation
23 Feb 2023
AI offers a new way to track the insect pollinators essential to farming.
Researchers develop machine learning model to improve Amazon carbon storage estimates
Oregon State University
22 Feb 2023
A research collaboration has used very-high-resolution satellite imagery to develop a ML model for estimating carbon stocks.
#AAAI2023 invited talk: Tuomas Sandholm on organ exchanges
Lucy Smith
21 Feb 2023
The winner of the 2023 AAAI Award for Artificial Intelligence for the Benefit of Humanity talks about his work on using algorithms to assist in organ exchanges.
The fight against antibiotic resistance is growing more urgent, but artificial intelligence can help
The Conversation
20 Feb 2023
How can AI models help in the search for new antibiotics?
A survey on knowledge-enhanced multimodal learning
Giorgos Stamou and Maria Lymperaiou
15 Feb 2023
Maria Lymperaiou and Giorgos Stamou survey the state of the knowledge-enhanced visiolinguistic (KVL) learning field.
Fully autonomous real-world reinforcement learning with applications to mobile manipulation
BAIR blog
07 Feb 2023
A system that learns to clean up a room directly with a real robot via continual learning.
Riemannian score-based generative modelling
Valentin De Bortoli
01 Feb 2023
The winners of a NeurIPS 2022 best paper award write about their work on generative modelling.
monthly digest
AIhub monthly digest: January 2023 – low-resource language projects, Earth’s nightlights and a Lanfrica milestone
Lucy Smith
31 Jan 2023
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
UrbanTwin: seeing double for sustainability
EPFL
26 Jan 2023
A digital twin for urban infrastructure: assessing the effectiveness of climate-related policies and actions.
Bottom-up top-down detection transformers for open vocabulary object detection
ML@CMU
23 Jan 2023
We introduce a model that detects all objects that a phrase mentions.
Applying AI to pathology reveals insights in endometrial cancer diagnostics
Universiteit Leiden
19 Jan 2023
Interpretable deep learning model to predict the molecular classification of endometrial cancer from slide images.
Natural Language Processing for low-resource languages
Lucy Smith
18 Jan 2023
We highlight some of the NLP recent work that focusses on low-resource languages.
Using machine learning to forecast amine emissions
EPFL
16 Jan 2023
Scientists at EPFL and Heriot-Watt University have developed a machine learning approach to predict potentially harmful amine emissions from carbon-capturing plants.
Using machine learning to improve the toxicity assessment of chemicals
University of Amsterdam
04 Jan 2023
Researchers from the University of Amsterdam, the University of Queensland and the Norwegian Institute for Water Research, have developed a strategy for assessing the toxicity of chemicals using machine learning.
Artificial intelligence in 2022: the AIhub roundup
Lucy Smith
30 Dec 2022
As 2022 draws to a close, we look back on some of the notable research developments, awards, news and policy in the world of artificial intelligence.
Text-to-image AI: powerful, easy-to-use technology for making art – and fakes
The Conversation
27 Dec 2022
What lessons can be learned as this technology continues its trajectory?
AI holidays 2022
AIhub
23 Dec 2022
Here's a sample of AI-themed holiday videos, images and stories to get you into the spirit this season.
AIhub blog post highlights 2022
Lucy Smith
21 Dec 2022
As the year draws to a close, we take a look back at some of our favourite blog posts from researchers.
monthly digest
AIhub monthly digest: December 2022 – AI around the world, teleoperation, and multilingual translation
Lucy Smith
20 Dec 2022
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Benchmarking quality-diversity algorithms on neuroevolution for reinforcement learning
Manon Flageat and Bryan Lim
14 Dec 2022
We propose to apply QD to deep reinforcement learning tasks, and introduce a set of benchmarks to facilitate the comparison of approaches.
Causal confounds in sequential decision making
ML@CMU
06 Dec 2022
Using techniques from causal inference, we derive provably correct and scalable algorithms for sequential decision making in certain settings.
Estimating manipulation intentions to ease teleoperation
Anna Belardinelli
01 Dec 2022
Introducing an intention estimation model that relies on both gaze and motion features.
monthly digest
AIhub monthly digest: November 2022 – musical improvisation, two-player games, and interviews galore
Lucy Smith
29 Nov 2022
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
Collaboration the key to realising the potential of AI
Linköping University
28 Nov 2022
We are currently far from achieving full autonomy for rescue robotic systems. Consequently, well-functioning collaboration between human and machine is crucial.
Practical complexity of optimal play in games for two
Tomáš Peitl, Benjamin Böhm and Olaf Beyersdorff write about their IJCAI2022 award-winning paper on Quantified Conflict-Driven Clause Learning.
AI system for live music accompaniment and improvisation
Olga Vechtomova and Gaurav Sahu
23 Nov 2022
Musicians can perform together with LyricJam Sonic to explore connections between their live music and past recordings to generate new original compositions in real-time.
Studying AI recruitment tools: race, gender, and AI’s “eradication of difference”
University of Cambridge
11 Nov 2022
Claims AI can boost workplace diversity are ‘spurious and dangerous’, researchers argue.
Predicting properties of complex metamaterials
University of Amsterdam
08 Nov 2022
A research team tested how well machine learning can predict the properties of combinatorial mechanical metamaterials.
How shoring up drones with artificial intelligence helps surf lifesavers spot sharks at the beach
The Conversation
04 Nov 2022
Australian surf lifesavers are increasingly using drones to spot sharks at the beach before they get too close to swimmers. But just how reliable are they?
