Robohub.org
The AI resurgence: Why now? | Wired
jeffedoe/Flickr Artificial Intelligence (AI) has been enjoying a major resurgence in recent months and for some seasoned professionals, who have been in the AI industry since the 1980s, it feels like déjà vu all over again.
Hallie Siegel
robotics editor-at-large
Hallie Siegel
robotics editor-at-large
AUAI is supported by:
Related posts :
Robot Talk Episode 153 – Origami-inspired robots, with Chenying Liu
Robot Talk
24 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Chenying Liu from University of Oxford about how a robot's physical form can actively contribute to sensing, processing, decision-making, and movement.
Sony AI table tennis robot outplays elite human players
AIhub
22 Apr 2026
New robot and AI system has beaten professional and elite table tennis players.
AI system learns to keep warehouse robot traffic running smoothly
MIT News
20 Apr 2026
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
Robot Talk Episode 152 – Dexterous robot hands, with Rich Walker
Robot Talk
17 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Rich Walker from Shadow Robot Company about their advanced robotic hands for research and industry.
What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King
Ella Scallan and AIhub
14 Apr 2026
Ross King created the first robot scientist back in 2009. He spoke to us about the nature of scientific discovery, the role AI has to play, and his recent work in DNA computing.
Robot Talk Episode 151 – Robots to study the ocean, with Simona Aracri
Robot Talk
10 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Simona Aracri from National Research Council of Italy about innovative robot designs for oceanography and environmental monitoring.
Generative AI improves a wireless vision system that sees through obstructions
MIT News
08 Apr 2026
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.
Resource-constrained image generation and visual understanding: an interview with Aniket Roy
AIhub
07 Apr 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.
