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#IJCAI invited talk: engineering social and collaborative agents with Ana Paiva

In her invited talk at IJCAI, Ana Paiva talked about some of her work on social robots and agents.
02 September 2022, by

AIhub monthly digest: August 2022 – cross-lingual transfer, philosophy of cognitive science, and #DLIndaba

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
30 August 2022, by

#IJCAI2022 invited talk: Insights in medicine with Mihaela van der Schaar

Mihaela van der Schaar talks about some of the opportunities for machine learning in medicine.
26 August 2022, by

auton-survival: An open-source package for regression, counterfactual estimation, evaluation and phenotyping censored time-to-event data

We present auton-survival – a comprehensive Python code repository of user-friendly, machine learning tools for working with censored time-to-event data.
22 August 2022, by

Using reinforcement learning for control of direct ink writing

Improving the printing technique of viscous materials using reinforcement learning and numerical simulation.

Why do policy gradient methods work so well in cooperative MARL? Evidence from policy representation

We show how policy gradient methods can converge to an optimal policy in certain cases, and that they can learn multi-modal policies.
15 August 2022, by


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Using AI to tackle the challenge of materials structure prediction

Researchers have designed a machine learning method to predict the structure of new materials.
12 August 2022, by

Using AlphaFold to find complex protein knots

Theoretical physicists at Johannes Gutenberg University Mainz put AlphaFold to the test to find complex protein knots.

#ICML2022 invited talk round-up 2: estimating causal effects and drug discovery and development

We summarise the final two invited talks from the International Conference on Machine Learning.
10 August 2022, by

Art meets AI algorithms

Find out about a collaboration between an artist and AI researchers.

#ICML2022 invited talk round-up 1: towards a mathematical theory of ML and using ML for molecular modelling

We summarise the first two invited talks from the International Conference on Machine Learning.
02 August 2022, by

Does AutoML work for diverse tasks?

Can the available AutoML tools quickly and painlessly attain near-expert performance on diverse learning tasks?
01 August 2022, by

AIhub monthly digest: July 2022 – conferences galore, Lanfrica talks, and song contest winner announced

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
29 July 2022, by

AI-powered BirdNET app makes citizen science easier

The team behind BirdNET have published a paper about their work and what it means for citizen science.
13 July 2022, by

FIGS: Attaining XGBoost-level performance with the interpretability and speed of CART

In this blog post we cover a new method for fitting an interpretable model that takes the form of a sum of trees.
12 July 2022, by

Illustrating the materiality of AI

By picturing the physicality of artificial intelligence we hope to foster more accurate representations of these emerging technologies.
01 July 2022, by

AIhub monthly digest: June 2022 – bootstrapped meta-learning, ethical AI, and a song contest

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
28 June 2022, by

The Berkeley Crossword Solver

We recently built the Berkeley Crossword Solver (BCS), the first computer program to beat every human competitor in the world’s top crossword tournament.
27 June 2022, by

Deep attentive variational inference

The expressivity of current deep probabilistic models can be improved by selectively prioritizing statistical dependencies between latent variables that are potentially distant from each other.
24 June 2022, by

AI and machine learning are improving weather forecasts, but they won’t replace human experts

Machine learning can help with some of the challenges faced by weather forecasters.
20 June 2022, by

Rethinking human-in-the-loop for artificial augmented intelligence

How do we build and evaluate an AI system for real-world applications?
17 June 2022, by

Robotics people – #ICRA2022 Day 5 big wrap-up

The best part about participating in a robotics venue with nearly eight thousand attendees is, with no doubt, the robotics people.
10 June 2022, by and

Images Matter!

How we depict the state of technology (imagined, current or future) visually and verbally, helps us position ourselves in relation to what is already there and what is coming.
08 June 2022, by and

Designing societally beneficial reinforcement learning systems

Studying the risks associated with using reinforcement learning for real-world applications.
31 May 2022, by

AIhub monthly digest: May 2022 – RoboCup virtual, neural collapse, and human-AI collaboration

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
30 May 2022, by

The AI pretenders

Researchers in Australia have investigated digital assistants and related privacy concerns of users.

New framework for cooperative bots aims to mimic high-performing human teams

Researchers have developed a robotics system for collaborative bots that work independently to achieve a shared goal.

Researching EU regulation around AI

A new research project will investigate regulation around AI, and how the EU approaches this issue.
23 May 2022, by

An experimental design perspective on model-based reinforcement learning

We propose a simple algorithm that is able to solve a wide variety of control tasks.
19 May 2022, by

Investigating neural collapse in deep classification networks

The winners of an outstanding paper award at ICLR 2022 tell us about their work on understanding deep neural networks.
18 May 2022, by







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