All posts by Robotics Research News -- ScienceDaily

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Photonic quantum chips are making AI smarter and greener

A team of researchers has shown that even small-scale quantum computers can enhance machine learning performance, using a novel photonic quantum circuit. Their findings suggest that today s quantum technology isn t just experimental it can already outperform classical systems in specific tasks. Notably, this photonic approach could also drastically reduce energy consumption, offering a sustainable path forward as machine learning s power needs soar.

How outdated phones can power smart cities and save the seas

In a world where over a billion smartphones are produced yearly, a team of researchers is flipping the script on electronic waste. Instead of tossing out older phones, they ve demonstrated a groundbreaking approach: turning outdated smartphones into micro data centers. This low-cost innovation (just 8 euros per phone) offers practical applications from tracking bus passengers to monitoring marine life without needing new tech.

Scientists built a transistor that could leave silicon in the dust

Shrinking silicon transistors have reached their physical limits, but a team from the University of Tokyo is rewriting the rules. They've created a cutting-edge transistor using gallium-doped indium oxide with a novel "gate-all-around" structure. By precisely engineering the material's atomic structure, the new device achieves remarkable electron mobility and stability. This breakthrough could fuel faster, more reliable electronics powering future technologies from AI to big data systems.

Attachment theory: A new lens for understanding human-AI relationships

Human-AI interactions are well understood in terms of trust and companionship. However, the role of attachment and experiences in such relationships is not entirely clear. In a new breakthrough, researchers from Waseda University have devised a novel self-report scale and highlighted the concepts of attachment anxiety and avoidance toward AI. Their work is expected to serve as a guideline to further explore human-AI relationships and incorporate ethical considerations in AI design.

Self-powered artificial synapse mimics human color vision

Despite advances in machine vision, processing visual data requires substantial computing resources and energy, limiting deployment in edge devices. Now, researchers from Japan have developed a self-powered artificial synapse that distinguishes colors with high resolution across the visible spectrum, approaching human eye capabilities. The device, which integrates dye-sensitized solar cells, generates its electricity and can perform complex logic operations without additional circuitry, paving the way for capable computer vision systems integrated in everyday devices.

Electronic tattoo gauges mental strain

Researchers gave participants face tattoos that can track when their brain is working too hard. The study introduces a non-permanent wireless forehead e-tattoo that decodes brainwaves to measure mental strain without bulky headgear. This technology may help track the mental workload of workers like air traffic controllers and truck drivers, whose lapses in focus can have serious consequences.

Traditional diagnostic decision support systems outperform generative AI for diagnosing disease

Researchers compared their long-standing diagnostic decision support systems AI tool, DXplain, with modern large language models like ChatGPT and Gemini, finding DXplain performed slightly better. They say their findings suggest that combining DXplain with LLMs could enhance clinical diagnosis and improve both technologies.

A chip with natural blood vessels

Miniature organs on a chip could allow us to do scientific studies with great precision, without having to resort to animal testing. The main problem, however, is that artificial tissue needs blood vessels, and they are very hard to create. Now, new technology has been developed to create reproducible blood vessels using high-precision laser pulses. Tissue has been created that acts like natural tissue.

Breakthrough AI model could transform how we prepare for natural disasters

From deadly floods in Europe to intensifying tropical cyclones around the world, the climate crisis has made timely and precise forecasting more essential than ever. Yet traditional forecasting methods rely on highly complex numerical models developed over decades, requiring powerful supercomputers and large teams of experts. According to its developers, Aurora offers a powerful and efficient alternative using artificial intelligence.
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