Forthcoming machine learning and AI seminars: April 2026 edition

#AAAI2026 invited talk: machine learning for particle physics

AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

A multi-armed robot for assisting with agricultural tasks

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

RWDS Big Questions: how do we highlight the role of statistics in AI?

A history of RoboCup with Manuela Veloso

Information-driven design of imaging systems

Machine learning framework to predict global imperilment status of freshwater fish

Interview with AAAI Fellow Yan Liu: machine learning for time series

A principled approach for data bias mitigation

An AI image generator for non-English speakers

AI and Theory of Mind: an interview with Nitay Alon

AIhub coffee corner: AI, kids, and the future – “generation AI”

AI chatbots can effectively sway voters – in either direction

Studying the properties of large language models: an interview with Maxime Meyer

What the Moltbook experiment is teaching us about AI

The malleable mind: context accumulation drives LLM’s belief drift

RWDS Big Questions: how do we balance innovation and regulation in the world of AI?

Studying multiplicity: an interview with Prakhar Ganesh

Top AI ethics and policy issues of 2025 and what to expect in 2026

The greatest risk of AI in higher education isn’t cheating – it’s the erosion of learning itself

Forthcoming machine learning and AI seminars: March 2026 edition

AIhub monthly digest: February 2026 – collective decision making, multi-modal learning, and governing the rise of interactive AI

The Good Robot podcast: the role of designers in AI ethics with Tomasz Hollanek

Reinforcement learning applied to autonomous vehicles: an interview with Oliver Chang

The Machine Ethics podcast: moral agents with Jen Semler

Extending the reward structure in reinforcement learning: an interview with Tanmay Ambadkar

The Good Robot podcast: what makes a drone “good”? with Beryl Pong

Relational neurosymbolic Markov models

AI enables a Who’s Who of brown bears in Alaska

Learning to see the physical world: an interview with Jiajun Wu

3 Questions: Using AI to help Olympic skaters land a quint

AAAI presidential panel – AI and sustainability

How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu

From Visual Question Answering to multimodal learning: an interview with Aishwarya Agrawal

Governing the rise of interactive AI will require behavioral insights

AI is coming to Olympic judging: what makes it a game changer?

Sven Koenig wins the 2026 ACM/SIGAI Autonomous Agents Research Award

Congratulations to the #AAAI2026 award winners

Forthcoming machine learning and AI seminars: February 2026 edition

#AAAI2026 social media round up: part 2

Interview with Zijian Zhao: Labor management in transportation gig systems through reinforcement learning

AIhub monthly digest: January 2026 – moderating guardrails, humanoid soccer, and attending AAAI

The Machine Ethics podcast: 2025 wrap up with Lisa Talia Moretti & Ben Byford

Interview with Kate Larson: Talking multi-agent systems and collective decision-making

#AAAI2026 social media round up: part 1

Congratulations to the #AAAI2026 outstanding paper award winners

3 Questions: How AI could optimize the power grid

Interview with Xiang Fang: Multi-modal learning and embodied intelligence

An introduction to science communication at #AAAI2026

Interview with Anindya Das Antar: Evaluating effectiveness of moderation guardrails in aligning LLM outputs

Guarding Europe’s hidden lifelines: how AI could protect subsea infrastructure

What’s coming up at #AAAI2026?

Taking humanoid soccer to the next level: An interview with RoboCup trustee Alessandra Rossi

Robots to navigate hiking trails

AAAI presidential panel – AI reasoning

The Machine Ethics podcast: Companion AI with Giulia Trojano

Learning from logical constraints with lower- and upper-bound arithmetic circuits

What are small language models and how do they differ from large ones?

Forthcoming machine learning and AI seminars: January 2026 edition

AAAI presidential panel – AI perception versus reality video discussion

More than half of new articles on the internet are being written by AI

2025 digest of digests

AIhub monthly digest: December 2025 – studying bias in AI-based recruitment tools, an image dataset for ethical AI benchmarking, and end of year compilations

Half of UK novelists believe AI is likely to replace their work entirely

RL without TD learning

AIhub interview highlights 2025

Identifying patterns in insect scents using machine learning

2025 AAAI / ACM SIGAI Doctoral Consortium interviews compilation

A backlash against AI imagery in ads may have begun as brands promote ‘human-made’

AIhub blog post highlights 2025

Using machine learning to track greenhouse gas emissions

AAAI 2025 presidential panel on the future of AI research – video discussion on AGI

The Machine Ethics podcast: the AI bubble with Tim El-Sheikh

Australia’s vast savannas are changing, and AI is showing us how

Generations in Dialogue: Human-robot interactions and social robotics with Professor Marynel Vasquez

AI language models show bias against regional German dialects

We asked teachers about their experiences with AI in the classroom — here’s what they said

Interview with Alice Xiang: Fair human-centric image dataset for ethical AI benchmarking

The Machine Ethics podcast: Fostering morality with Dr Oliver Bridge

Interview with Frida Hartman: Studying bias in AI-based recruitment tools

Forthcoming machine learning and AI seminars: December 2025 edition

AIhub monthly digest: November 2025 – learning robust controllers, trust in multi-agent systems, and a new fairness evaluation dataset

Generations in Dialogue: Embodied AI, robotics, perception, and action with Professor Roberto Martín-Martín

EU proposal to delay parts of its AI Act signal a policy shift that prioritises big tech over fairness

Better images of AI on book covers

What is AI poisoning? A computer scientist explains

New AI technique sounding out audio deepfakes

Learning robust controllers that work across many partially observable environments

ACM SIGAI Autonomous Agents Award 2026 open for nominations

Interview with Mario Mirabile: trust in multi-agent systems

Review of “Exploring metaphors of AI: visualisations, narratives and perception”

Designing value-aligned autonomous vehicles: from moral dilemmas to conflict-sensitive design

Generations in Dialogue: Human-centric AI and collaborative AI systems with Professor Andreea Bobu

Learning from failure to tackle extremely hard problems

How AI can improve storm surge forecasts to help save lives

Rewarding explainability in drug repurposing with knowledge graphs

AI Song Contest – vote for your favourite

Generations in Dialogue: Multi-agent systems and human-AI interaction with Professor Manuela Veloso

Generations in Dialogue: Bridging Perspectives in AI – a new podcast from AAAI

Forthcoming machine learning and AI seminars: November 2025 edition