This demo uses a deep neural network and two generic cameras to perform 3D pose estimation. — matlab-deep-learning/pose-estimation-3D-with-stereo-camera
AI alignment may depend not only on how we control artificial intelligence, but on how we teach, socialize, and learn to live with the minds we create.
Researchers at the Department of Energy’s Pacific Northwest National Laboratory use a slew of autonomous robots to design and implement experiments. However, setting up an experiment on an autonomous lab robot is surprisingly slow. The effort requires a lengthy back-and-forth between a scientist and an engineer to design the experimental steps—a process that can take weeks.
To help researchers work more efficiently, a PNNL team developed a generative agentic AI that can quickly translate experimental goals into instructions for a laboratory robot. The translation agent, called AutoLabs, is currently designed to operate with Big Kahuna, an automated robot built by Unchained Labs that researchers use to study new and existing battery materials. The system can carry out multistep experimental workflows, including mixing, heating, stirring and filtering samples with minimal human intervention. By automating these processes, researchers can perform five to 10 times more experiments than would be practical by hand.
The team published a paper in Scientific Reports about AutoLabs, and the software is also available for other researchers to download on GitHub.
McGill University researchers have developed a light-detecting nanoscale structure that mimics how a neuron processes information. The neuron-like behavior emerges from the materials themselves, reducing the energy demand associated with similar devices that rely on circuits or software.
Instead of capturing data first and processing it elsewhere, the device senses and interprets light in the same place, similar to how the eye processes visual information.
The researchers say the discovery could increase the efficiency of vision-based technologies like artificial retinas and smart optical sensors. It could also transform how artificial neural networks (ANNs), a foundation of machine learning, are built. The research is published in the journal Nanoscale.
Jack Clark — co-founder of Anthropic, the company behind Claude — says something almost no AI executive will say out loud: \.
Ben Goertzel, the godfather of AGI research and CEO of SingularityNet, just dropped some mind-blowing insights about artificial general intelligence that will change how you think about AI forever. This isn’t your typical AI hype this is raw truth from someone who’s been building AGI for decades.
In this deep dive conversation, Ben reveals the shocking reality behind current AI limitations, why decentralized AI infrastructure is crucial for humanity’s future, and his honest timeline for when we’ll actually achieve AGI. Plus, he shares what it’s like running a global AI empire while living on a remote island accessible only by ferry.
Key Topics Covered:
The real timeline for AGI development.
Why current AI models aren’t actually intelligent.
How SingularityNet is building decentralized AI infrastructure.
The ASI Alliance and the future of artificial superintelligence.
Ben’s daily routine managing hundreds of AI researchers globally.
Why math and music drive breakthrough AI thinking.
⏰ Timestamps:
0:00 — Introduction to Ben Goertzel.
2:30 — Daily life of an AGI pioneer.
8:45 — Managing a global AI empire.
15:20 — The truth about current AI limitations.
25:10 — SingularityNet and decentralized AI
35:40 — When will AGI actually happen?
45:30 — The future of artificial superintelligence.
58:15 — Closing thoughts.
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💬 What do you think about Ben’s AGI timeline? Drop your thoughts in the comments below!
TAMPA, Fla. — British startup Shield Space plans to combine its autonomous satellite operations software with ClearSpace’s in-orbit servicing capabilities to address emerging orbital threats.
The startup signed a memorandum of understanding June 23 with ClearSpace’s British subsidiary to develop sovereign space defense capabilities for the United Kingdom and its allies, which they say are increasingly important as adversaries step up efforts to monitor, disrupt and potentially disable critical satellite infrastructure.
Founded in 2025, Shield Space is developing software designed to keep satellites operating autonomously even when communications with the ground are disrupted.
🚀 WELCOME TO THE PREMIERE OF DIMENSION ZERO LIVE!
Join award-winning screenwriter Danny Alex for the very first live episode of Dimension Zero, where science, science fiction, physics, astronomy, and popular culture collide.
Tonight we’ll introduce the vision behind the channel and explore some of the biggest questions in science fiction and the real science behind them.
Tonight’s topics include:
• Star Trek.
• Battlestar Galactica.
• Supergirl.
• The Odyssey.
• Antimatter.
• Physics vs. Science Fiction.
• Space Exploration.
• Audience Q&A and more!
If you’ve ever wondered whether warp drives, antimatter reactors, faster-than-light travel, artificial intelligence, or the incredible technologies of science fiction could ever become reality, this is the show for you.
Dimension Zero explores The Science of Science Fiction, separating scientific fact from fiction while celebrating the worlds we love.