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Interview with Sukanya Mandal: Developing a cognitive digital twin framework for smart cities

We meet AAAI/SIGAI doctoral consortium participant Sukanya and find out about her PhD studies.
09 May 2024, by

Congratulations to the #ICLR2024 test of time and outstanding paper award winners

The winners of the best paper awards were announced at the opening session of the conference.
08 May 2024, by

AIhub coffee corner: Responsible and trustworthy AI

The AIhub coffee corner captures the musings of AI experts over a short conversation.
07 May 2024, by

Interview with Salena Torres Ashton: causality and natural language

We spoke to Salena about her research, the AAAI experience, and her career path from professional genealogist and historian to machine learning PhD student.
02 May 2024, by

AIhub monthly digest: April 2024 – explainable AI, access to compute, and noughts and crosses

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

DataLike: Interview with Motunrayo Kilanko

Ndane and Isabella talk to Motunrayo Kilanko about learning on the job, projects, and apprenticeships.



5 questions schools and universities should ask before they purchase AI tech products

Every few years, an emerging technology shows up at the doorstep of schools and universities promising to transform education.
01 May 2024, by

The Machine Ethics podcast: Good tech with Eleanor Drage and Kerry McInerney

In this episode, Ben chats Eleanor Drage and Kerry McInerney about good tech.
29 April 2024, by

AIhub coffee corner: Open vs closed science

The AIhub coffee corner captures the musings of AI experts over a short conversation.
26 April 2024, by

Are emergent abilities of large language models a mirage? – Interview with Brando Miranda

We hear about work that won a NeurIPS 2023 outstanding paper award.
25 April 2024, by

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

Interview with Mike Lee: Communicating AI decision-making through demonstrations

We hear from AAAI/SIGAI Doctoral Consortium participant Mike Lee about his research on explainable AI.
23 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

The Machine Ethics podcast: What is AI? Volume 3

This is a bonus episode looking back over answers to our question: What is AI?
19 April 2024, by

DataLike: Interview with Tẹjúmádé Àfọ̀njá

"I place an emphasis on wellness and meticulously plan my schedule to ensure I can make meaningful contributions to what's important to me."

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

Interview with Bálint Gyevnár: Creating explanations for AI-based decision-making systems

PhD student and AAAI/SIGAI Doctoral Consortium participant tells us about his research.
16 April 2024, by

2024 AI Index report published

Read the latest edition of the AI Index Report which tracks and visualises data related to AI.
15 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

Is compute the binding constraint on AI research? Interview with Rebecca Gelles and Ronnie Kinoshita

We hear from authors of work presented at AAAI 2024 studying access to compute and the impact this has on AI research and researchers.
10 April 2024, by

Forthcoming machine learning and AI seminars: April 2024 edition

A list of free-to-attend AI-related seminars that are scheduled to take place between 9 April and 31 May 2024.
09 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

Interview with Francesca Rossi – talking sustainable development goals, AI regulation, and AI ethics

“AI used to be a scientific and technical field, now it has become a socio-technical discipline"
28 March 2024, by

Datalike: Interview with Mariza Ferro

In their latest interview, Ndane and Isabella meet Mariza Ferro, professor at the Federal Fluminense University.

Interview with Amine Barrak: serverless computing and machine learning

PhD student, and AAAI/SIGAI Doctoral Consortium participant, Amine tells us about his research.
26 March 2024, by






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