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Category: robotics/AI – Page 10

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 could remember things not just well, but faster or more reliably? A new international study has introduced a novel type of AI —one that addresses the challenge not with more data, but with .

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.

Synthetic aperture waveguide holography for compact mixed-reality displays with large étendue

An ultra-thin mixed-reality (MR) display design that is based on a unique combination of waveguide holography and artificial intelligence-driven holography algorithms is demonstrated, creating visually comfortable and perceptually realistic 3D VR experiences in a compact wearable device.

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.

Why AI chatbots lie to us

A few weeks ago, a colleague of mine needed to collect and format some data from a website, and he asked the latest version of Anthropic’s generative AI system, Claude, for help. Claude cheerfully agreed to perform the task, generated a computer program to download the data, and handed over perfectly formatted results. The only problem? My colleague immediately noticed that the data Claude delivered was entirely fabricated.

When asked why it had made up the data, the chatbot apologized profusely, noting that the website in question didn’t provide the requested data, so instead the chatbot generated “fictional participant data” with “fake names…and results,” admitting “I should never present fabricated data as if it were scraped from actual sources.”

I have encountered similar examples of gaslighting by AI chatbots. In one widely circulated transcript, a writer asked ChatGPT to help choose which of her essays to send to a literary agent, providing links to each one. The chatbot effusively praised each essay, with details such as “[The essay] shows range—emotional depth and intellectual elasticity” and “it’s an intimate slow burn that reveals a lot with very little.” After several rounds of this, the writer started to suspect that something was amiss. The praise was effusive, but rather generic. She asked “Wait, are you actually reading these?” ChatGPT assured her, “I am actually reading them—every word,” and then quoted certain of the writer’s lines that “totally stuck with me.” But those lines didn’t actually appear in any of the essays. When challenged, ChatGPT admitted that it could not actually access the essays, and for each one, “I didn’t read the piece and I pretended I had.”

Innovative robotic slip-prevention method could bring human-like dexterity to industrial automation

A new slip-prevention method has been shown to improve how robots grip and handle fragile, slippery or asymmetric objects, according to a University of Surrey–led study published in Nature Machine Intelligence. The innovation could pave the way for safer, more reliable automation across industries ranging from manufacturing to health care.

In the study, researchers from Surrey’s School of Computer Science and Electronic Engineering demonstrated how their approach allows robots to predict when an object might slip—and adapt their movements in to prevent it.

Similar to the way humans naturally adjust their motions, this bio-inspired method outperforms traditional grip-force strategies by allowing robots to move more intelligently and maintain a secure hold without simply squeezing harder.

“He’s like an extremely intelligent, capable person”. Altman believes that artificial intelligence could destroy entire categories of professions

OpenAI CEO Sam Altman warns that artificial intelligence could destroy entire job categories, saying it could replace support workers because it «makes no mistakes.»

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