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Category: internet

AI-powered LED system delivers stable wireless power for indoor IoT devices

The world’s first automatic and adaptive, dual-mode light-emitting diode (LED)-based optical wireless power transmission system, that operates seamlessly under both dark and bright lighting conditions, has been developed by scientists at Science Tokyo. The system, along with artificial intelligence-powered image recognition, can efficiently power multiple devices in order without interruption. Because it is LED-based, it offers a low-cost and safe solution ideal for building sustainable indoor Internet of Things infrastructure.

With the rapid development of Internet of Things (IoT), the demand for efficient and flexible power solutions is also increasing. Traditional power delivery methods, such as batteries and cable connections, have many drawbacks. Batteries need frequent charging and replacement, while cables restrict device mobility.

Optical wireless power transmission (OWPT) is an emerging technology that can address these limitations. In OWPT, energy is transmitted through , without physical wires, by converting electricity to light, transmitting it, and then reconverting light back into using photovoltaic (PV) receivers.

How sound and light act alike—and not—at the smallest scale

A world-famous light experiment from 1801 has now been carried out with sound for the first time. Research by physicists in Leiden has produced new insights that could be applied in 5G devices and the emerging field of quantum acoustics. The study is published in the journal Optics Letters.

Ph.D. student Thomas Steenbergen says, “We saw that in materials behave in the same way as light, but also slightly differently. With a mathematical model, we can now explain and predict this behavior.”

Microsoft finds security flaw in AI chatbots that could expose conversation topics

Your conversations with AI assistants such as ChatGPT and Google Gemini may not be as private as you think they are. Microsoft has revealed a serious flaw in the large language models (LLMs) that power these AI services, potentially exposing the topic of your conversations with them. Researchers dubbed the vulnerability “Whisper Leak” and found it affects nearly all the models they tested.

When you chat with AI assistants built into major search engines or apps, the information is protected by TLS (Transport Layer Security), the same used for online banking. These secure connections stop would-be eavesdroppers from reading the words you type. However, Microsoft discovered that the metadata (how your messages are traveling across the internet) remains visible. Whisper Leak doesn’t break encryption, but it takes advantage of what encryption cannot hide.

The Age of Sustainable Abundance Is Here!

Advancements in AI, robotics, and space exploration are driving us towards a future of sustainable abundance, enabled by innovations such as space-based solar power, humanoid robots, and scalable AI infrastructure. ## ## Questions to inspire discussion.

Terafabs and AI Chips.

🛠️ Q: What are Elon Musk’s plans for terafabs?

A: Musk plans to build terafabs with 10 lines, each producing 100k wafers/month, costing **$10–20 billion/line.

🔋 Q: What challenges do AI chips face for scaling?

A: Scaling AI faces bottlenecks in AI chips and energy, with Musk’s terafabs and solar power as key solutions.

Continue reading “The Age of Sustainable Abundance Is Here!” | >

Machine learning automates material analysis and design using X-ray spectroscopy data

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights about a material’s composition, structure, and functional characteristics. The technique works by directing a beam of high-energy X-rays at a sample and recording how X-rays of different energy levels are absorbed.

Similar to how splits into a rainbow after passing through a prism, XAS produces a spectrum of X-rays with different energies. This spectrum is called as , which acts like a unique fingerprint of a material, helping scientists to identify the elements present in the material and see how the atoms are arranged. This information, known as the “electronic state,” determines the functional properties of materials.

Boron compounds have significant applications in semiconductors, Internet-of-Things (IoT) devices, and energy storage. In these materials, atomic modifications, structural defects, impurities, and doped elements, each produce unique, complex variations in spectral data. Detailed analyses of these variations provides key insights into their electronic state and is crucial for rational material design. Traditionally, however, such analyses required extensive expertise and manual labor, especially when large datasets have to be examined visually.

Two independent quantum networks successfully fused into one

Many quantum researchers are working toward building technologies that allow for the existence of a global quantum internet, in which any two users on Earth would be able to conduct large-scale quantum computing and communicate securely with the help of quantum entanglement. Although this requires many more technological advancements, a team of researchers at Shanghai Jiao Tong University in China have managed to merge two independent networks, bringing the world a bit closer to realizing a quantum internet.

A true global will require interconnectivity between many networks, and this has proven to be a much more difficult task for than it is for classical networks. While researchers have demonstrated the ability to connect quantum computers within the same network, multi-user fusion remains a major challenge. Fully connected networks using dense wavelength division multiplexing (DWDM) have been achieved, but have scalability and complexity issues.

However, the research team involved in the new study, published in Nature Photonics, has merged two independent networks with 18 different users. All 18 users can communicate securely using -based protocols using this method. This represents the most complex multi-user quantum network to date.

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