Clik here to view.
Interview with Aaquib Tabrez: explainability and human-robot interaction
The AAAI/SIGAI Doctoral Consortium provides an opportunity for a group of PhD students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together...
View ArticleClik here to view.
The shift from models to compound AI systems
By Matei Zaharia, Omar Khattab, Lingjiao Chen, Jared Quincy Davis, Heather Miller, Chris Potts, James Zou, Michael Carbin, Jonathan Frankle, Naveen Rao, Ali Ghodsi AI caught everyone’s attention in...
View ArticleClik here to view.
#AAAI2024 workshops round-up 3: human-centric representation learning, and AI...
In this third round-up article of the workshops at AAAI 2024, we hear from the organisers of the workshops on: Human-Centric Representation Learning AI to Accelerate Science and Engineering...
View ArticleClik here to view.
Machine learning helps improve quality assurance for wind turbines
By Sandrine Perroud Faulty wind turbine blades can incur huge costs for the companies that operate them, especially if the defects go unnoticed until it’s too late. That’s why quality assurance is...
View ArticleClik here to view.
Interview with Raffaele Galliera: Deep reinforcement learning for...
The AAAI/SIGAI Doctoral Consortium provides an opportunity for a group of PhD students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together...
View ArticleClik here to view.
Using machine learning to discover stiff and tough microstructures
A new computational pipeline developed over three years efficiently identifies stiff and tough microstructures suitable for 3D printing in a wide range of engineering applications. The approach greatly...
View ArticleClik here to view.
How will generative artificial intelligence affect political advertising in...
Illinois advertising professor Michelle Nelson says voters should expect to see a lot more generative AI in political ads during the 2024 election cycle, warning that it might be difficult to...
View ArticleClik here to view.
AI UK 2024: Camden Council case study
Hosted by The Alan Turing Institute, AI UK is a yearly event that brings together representatives from government, academia and industry to showcase data science and AI research and innovation in the...
View ArticleClik here to view.
Interview with Amine Barrak: serverless computing and machine learning
Amine Barrak at the AAAI conference, Vancouver, in February 2024. The AAAI/SIGAI Doctoral Consortium provides an opportunity for a group of PhD students to discuss and explore their research interests...
View ArticleClik here to view.
Datalike: Interview with Mariza Ferro
Mariza Ferro is a professor at the Federal Fluminense University and a visiting professor at Bordeaux University. She has been working in the field of AI since 2002. She works on AI for good,...
View ArticleClik here to view.
Interview with Francesca Rossi – talking sustainable development goals, AI...
At the International Joint Conference on Artificial Intelligence (IJCAI) I was lucky enough to catch up with Francesca Rossi, IBM fellow and AI Ethics Global Leader, and President of AAAI. There were...
View ArticleClik here to view.
AIhub monthly digest: March 2024 – human-robot interaction, serverless...
Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we find out about explainability...
View ArticleClik here to view.
Navigating the new era of commerce: Exploring the relationship between...
Image created by Guillermo Calahorra-Candao using ChatGPT. Prompt: “create an image of a person conversing with a virtual voice assistant (just like Alexa, Siri, or Google), while simultaneously...
View ArticleClik here to view.
The moderating effect of instant runoff voting
Elections are the core tool of democracy, where we seek to combine the preferences of a society into a single collective decision: electing a president, deciding between policy proposals, or even...
View ArticleClik here to view.
Going top shelf with AI to better track hockey data
Researchers from the University of Waterloo got a valuable assist from artificial intelligence (AI) tools to help capture and analyze data from professional hockey games more quickly and more...
View ArticleClik here to view.
Modeling extremely large images with xT
By Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam As computer vision researchers, we believe that every pixel can tell a story. However, there seems to be a...
View ArticleClik here to view.
Forthcoming machine learning and AI seminars: April 2024 edition
This post contains a list of the AI-related seminars that are scheduled to take place between 9 April and 31 May 2024. All events detailed here are free and open for anyone to attend virtually. 9...
View ArticleClik here to view.
Is compute the binding constraint on AI research? Interview with Rebecca...
Rebecca Gelles and Ronnie Kinoshita In their work Resource Democratization: Is Compute the Binding Constraint on AI Research?, presented at AAAI 2024, Rebecca Gelles, Veronica Kinoshita, Micah Musser...
View ArticleClik here to view.
Deep learning-powered system maps corals in 3D
By Cécilia Carron Corals often provide a colorful backdrop to photographs of shimmering fish captured by amateur divers. But they’re also the primary focus of many scientists, on account of their...
View ArticleClik here to view.
#AAAI2024 workshops round-up 4: eXplainable AI approaches for deep...
Above: The workshop organisers : eXplainable AI approaches for deep reinforcement learning. Image credit: Biagio La Rosa. Below: Responsible language models workshop. In this fourth round-up article of...
View ArticleClik here to view.
2024 AI Index report published
The AI Index Report aims to track, collate, distil, and visualise data related to artificial intelligence. Its mission is “to provide unbiased, rigorously vetted, broadly sourced data in order for...
View ArticleClik here to view.
Interview with Bálint Gyevnár: Creating explanations for AI-based...
In a series of interviews, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. The Doctoral Consortium provides an opportunity for a group of...
View ArticleClik here to view.
Beyond the mud: Datasets, benchmarks, and methods for computer vision in...
By Jacob Tyo TL;DR: Off-the-shelf text spotting and re-identification models fail in basic off-road racing settings, even more so during muddy events. Making matters worse, there aren’t any public...
View ArticleClik here to view.
DataLike: Interview with Tẹjúmádé Àfọ̀njá
Profile Tẹjúmádé Àfọ̀njá is a doctoral researcher at CISPA Helmholtz Center for Information Security Saarbrücken, Saarland, Germany. Her research focuses on developing privacy-preserving generative...
View ArticleClik here to view.
The Machine Ethics podcast: What is AI? Volume 3
Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial...
View ArticleClik here to view.
Machine learning viability modelling of vertical-axis wind turbines
Sébastien Le Fouest and an experimental VAWT blade © Alain Herzog CC BY SA. By Celia Luterbacher EPFL researchers have used a genetic learning algorithm to identify optimal pitch profiles for the...
View ArticleClik here to view.
Interview with Mike Lee: Communicating AI decision-making through demonstrations
In a series of interviews, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. The Doctoral Consortium provides an opportunity for a group of...
View ArticleClik here to view.
We built an AI tool to help set priorities for conservation in Madagascar:...
Artificial Intelligence (AI) – models that process large and diverse datasets and make predictions from them – can have many uses in nature conservation, such as remote monitoring (like the use of...
View ArticleClik here to view.
Are emergent abilities of large language models a mirage? – Interview with...
Rylan Schaeffer, Brando Miranda, and Sanmi Koyejo won a NeurIPS 2023 outstanding paper award for their work Are Emergent Abilities of Large Language Models a Mirage?. In their paper, they present an...
View ArticleClik here to view.
AIhub coffee corner: Open vs closed science
The AIhub coffee corner captures the musings of AI experts over a short conversation. This month, we consider the debate around open vs closed science. Joining the conversation this time are: Joydeep...
View Article
