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Category: robotics/AI – Page 2
This best-selling book is freaking out national security advisors
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If we build something vastly smarter than us, with goals we don’t share and without knowing how to control it, we lose. That’s the core claim in the book, and I don’t think it’s all that controversial. The real question is whether that’s where we’re headed.
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Correction: at 14:18 I say \.
The Most Realistic AI Takeover Scenario (91% Accurate So Far)
In April 2025, a group of leading AI researchers published a 71-page report called \.
AI-powered lab discovers brighter lead-free nanomaterials in 12 hours
A new autonomous laboratory recently navigated through billions of potential material synthesis recipes to identify brighter, lead-free light-emitting nanomaterials in just 12 hours. The work could accelerate development of safer light-emitting nanoplatelets for use in applications ranging from photodetectors to the production of fuel from solar energy. A paper describing this work appears in Nature Communications.
Nanoplatelets are sheet-like crystals only billionths of a meter thick; in this case, they belong to a family of lead-free “double perovskites,” materials whose atomic recipe can be tuned to control how they absorb and emit light.
“One of the big challenges in developing safer optical nanomaterials is the sheer size of the material universe,” says Milad Abolhasani, Alcoa Professor and University Faculty Scholar in the department of chemical and biomolecular engineering at North Carolina State University. Abolhasani is the corresponding author of the research.
Beyond borders: Metaverse manufacturing envisions AI-linked local production built on digital twins
Over the past decades, technological advances have fueled great innovation in a wide range of fields. Emerging and rapidly developing technologies, such as artificial intelligence (AI) systems, three-dimensional (3D) and four-dimensional (4D) printing, digital twins (i.e., virtual representations of physical objects, systems or processes) and advanced robots, are set to further transform many industries and sectors.
Researchers at London South Bank University explored the idea of metaverse manufacturing, an industrial ecosystem that would blend technology-enhanced physical production processes with immersive visual environments. In a paper published in Journal of the Royal Society Interface, they tried to envision how this ecosystem could work and what technologies it would rely on, while also considering its possible advantages in terms of sustainability and productivity.
The study was conducted within the Mechanical Intelligence (MI) Research Group at London South Bank University, which focuses on bioinspired design and adaptive engineering systems.
After a 40-year wait, technology finally enables three-sided zipper design
In 1985, the Innovative Design Fund placed an ad in Scientific American offering up to $10,000 to support clever prototypes for clothing, home decor, and textiles. William Freeman Ph.D., then an electrical engineer at Polaroid and now an MIT professor, saw it and submitted a novel idea: a three-sided zipper. Instead of fastening pants, it’d be like a switch that seamlessly flipped chairs, tents, and purses between soft and rigid states, making them easier to pack and put together.
Freeman’s blueprint was much like a regular zipper, except triangular. On each side, he nailed a belt to connect narrow wooden “teeth” together. A slider wrapping around the device could be moved up to fasten the three strips into place, straightening them into a triangular tube. His proposal was rejected, but Freeman patented his prototype and stored it in his garage in the hopes it might come in handy one day.
Nearly 40 years later, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers wanted to revive the project to create items with “tunable stiffness.” Prior attempts to adjust that weren’t easily reversible or required manual assembly, so CSAIL built an automated design tool and adaptable fastener called the “Y-zipper.” The scientists’ software program helps users customize three-sided zippers, which it then builds on its own in a 3D printer using plastics. These devices can be attached or embedded into camping equipment, medical gear, robots, and art installations for more convenient assembly.
DNA-reading AI reconstructs ancestry in minutes, matching top statistical methods
Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way large language models like ChatGPT read text. Scanning the genome for biological mutation patterns, the computer model traces pairs of genes back in time to their last common ancestor.
It’s the first language model designed for population genetics, said Andrew Kern, a computational biologist in the UO College of Arts and Sciences. As described in a paper published April 10 in the Proceedings of the National Academy of Sciences, the AI tool offers scientists a fast and flexible alternative to classical methods for reconstructing evolutionary history.
In practice, it can help researchers like Kern understand when disease-resistance genes emerged in a population, for example, or when species evolved key traits.