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Category: innovation – Page 8

When University of Texas at Dallas researchers tested a new surface that they designed to collect and remove condensates rapidly, the results surprised them. The mechanical engineers’ design collected more condensates, or liquid formed by condensation, than they had predicted based on a classic physics model.

The finding revealed a limitation in the existing model and inspired the researchers to develop a new theory to explain the phenomenon, which they outline in an article published online March 13 in the journal Newton.

The theory is critical to the researchers’ work to develop innovative surfaces for applications such as harvesting water from air without electricity.

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University of Queensland scientists have cracked a long-standing puzzle in nuclear physics, showing that nuclear polarization, once thought to hinder experiments with muonic atoms, has a much smaller effect than expected.

This surprising result clears a major obstacle and paves the way for a new era of atomic research, offering deeper insights into the mysterious inner workings of atomic nuclei using exotic, muon-based atoms.

Breakthrough in Muonic Atom Research.

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Artificial intelligence (AI) systems promise transformative advancements, yet their growth has been limited by energy inefficiencies and bottlenecks in data transfer. Researchers at Columbia Engineering have unveiled a groundbreaking solution: a 3D photonic-electronic platform that achieves unprecedented energy efficiency and bandwidth density, paving the way for next-generation AI hardware.

The study, “3D Photonics for Ultra-Low Energy, High Bandwidth-Density Chip Data Links,” led by Keren Bergman, Charles Batchelor Professor of Electrical Engineering, is published in Nature Photonics.

The research details a pioneering method that integrates photonics with advanced complementary-metal-oxide-semiconductor (CMOS) electronics to redefine energy-efficient, high-bandwidth data communication. This innovation addresses critical challenges in data movement, a persistent obstacle to realizing faster and more efficient AI technologies.

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Keywords: technological advances, economical inequality, GinI coefficient, Ricci flow, Perelman models, technological innovations, research and development, innovations, sensitive analyze, automatization, economic stability, socio-economic challenges.

JEL Classification: E22, O11, O32.

Cite as: Gondauri, D. (2024). SocioEconomic Challenges, 8, 161–175. https://doi.org/10.61093/sec.8.161-175.2024.

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A new kind of memristor mimics how the brain learns by combining analog and digital behavior, offering a promising solution to the problem of AI “catastrophic forgetting.”

Unlike traditional deep neural networks that erase past knowledge when learning something new, this innovative component may retain previous learning, just like our own brains.

Understanding “Catastrophic Forgetting” in AI.

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Scientists have developed a model that predicts a massive boost in OLED brightness using polaritons—hybrid light-matter states.

By fine-tuning the number of molecules involved, they achieved a staggering 10-million-fold improvement in efficiency. This discovery could transform OLED technology, making displays brighter and more power-efficient than ever.

A bright new future for oleds?

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This collaboration marks a significant step in both companies’ efforts to address the pressing needs in cancer treatment through innovative solutions.

OBT has developed a proprietary discovery platform, OGAP-Verify, which has enhanced sensitivity and specificity for identifying promising drug targets.

This platform is central to collaboration, as it allows for selecting targets with improved attributes crucial for effective drug development.

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In today’s column, I debunk the common myth that if we attain artificial general intelligence (AGI) the resultant AI will be a solo colossus or said-to-be “one big brain”

Let’s talk about it.

This analysis of an innovative AI breakthrough is part of my ongoing Forbes column coverage on the latest in AI, including identifying and explaining various impactful AI complexities (see the link here).

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A new type of time crystal could represent a breakthrough in quantum physics.

In a diamond zapped with lasers, physicists have created what they believe to be the first true example of a time quasicrystal – one in which patterns in time are structured, but do not repeat. It’s a fine distinction, but one that could help evolve quantum research and technology.

“They could store quantum memory over long periods of time, essentially like a quantum analog of RAM,” says physicist Chong Zu of Washington University in the US. “We’re a long way from that sort of technology. But creating a time quasicrystal is a crucial first step.”

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