AI experts warn that AI could eliminate millions of jobs, and advocates for Universal Basic Income believe such a system might become necessary.
Category: robotics/AI – Page 165
Curved neural networks enable AI memory recall through geometric design
A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the “space” in which AI “thinks” can create explosive memory recall—an effect similar to a lightbulb moment in the human brain. The research opens new paths for brain-inspired computing, neuroscience, and even next-gen robotics, offering tools to better understand memory itself.
What if artificial intelligence could remember things not just well, but faster or more reliably? A new international study has introduced a novel type of AI memory —one that addresses the challenge not with more data, but with geometry.
A team of researchers from the Basque Center for Applied Mathematics (BCAM), Araya Inc., the University of Sussex, and Kyoto University has developed a new class of AI models called Curved Neural Networks.
No more insulin shots? This 3D-printed scientific leap could change diabetes treatment forever
Unlike traditional islet transplants — which are expensive, donor-limited, and prone to rejection — these 3D-printed islets are designed for better integration into the body. Implanted under the skin, the new islets respond to glucose fluctuations and begin producing insulin in real time, offering a more natural and automated regulation process.
Early tests revealed that the printed islets remained viable and fully functional for at least three weeks, a major improvement over past transplantation methods that often fail due to tissue damage and immune response.
Pushing the limits of chip design
Khalifa University is building the foundation for a smarter, more secure and more connected world, one silicon chip at a time.
In the rapidly evolving world of artificial intelligence and smart devices, the System-on-Chip Lab (SoCL) at Khalifa University is emerging as a regional hub of innovation. Led by Baker Mohammad, a professor of Computer and Information Engineering and a veteran with 15 years of experience at tech giants Intel and Qualcomm, the lab is uniquely positioned to bridge the gap between fundamental research and market-ready solutions.
“We’re the only facility in the region with comprehensive expertise across the full electronics design stack, from devices to circuits to systems,” Mohammad explains. This distinctive capability allows the lab to address critical challenges in energy-efficient, high-performance edge devices for data-intensive AI applications, while also integrating hardware security to protect sensitive user data.
Hybrid Crystal-Glass Materials from Meteorites Transform Heat Control
Crystals and glasses have opposite heat-conduction properties, which play a pivotal role in a variety of technologies. These range from the miniaturization and efficiency of electronic devices to waste-heat recovery systems, as well as the lifespan of thermal shields for aerospace applications.
The problem of optimizing the performance and durability of materials used in these different applications essentially boils down to fundamentally understanding how their chemical composition and atomic structure (e.g., crystalline, glassy, nanostructured) determine their capability to conduct heat. Michele Simoncelli, assistant professor of applied physics and applied mathematics at Columbia Engineering, tackles this problem from first principles — i.e., in Aristotle’s words, in terms of “the first basis from which a thing is known” — starting from the fundamental equations of quantum mechanics and leveraging machine-learning techniques to solve them with quantitative accuracy.
In research published on July 11 in the Proceedings of the National Academy of Sciences, Simoncelli and his collaborators Nicola Marzari from the Swiss Federal Technology Institute of Lausanne and Francesco Mauri from Sapienza University of Rome predicted the existence of a material with hybrid crystal-glass thermal properties, and a team of experimentalists led by Etienne Balan, Daniele Fournier, and Massimiliano Marangolo from the Sorbonne University in Paris confirmed it with measurements.