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Quantum teleportation between photons from two distant light sources achieved

Everyday life on the internet is insecure. Hackers can break into bank accounts or steal digital identities. Driven by AI, attacks are becoming increasingly sophisticated. Quantum cryptography promises more effective protection. It makes communication secure against eavesdropping by relying on the laws of quantum physics. However, the path toward a quantum internet is still fraught with technical hurdles.

Researchers at the Institute of Semiconductor Optics and Functional Interfaces (IHFG) at the University of Stuttgart have now made a decisive breakthrough in one of the most technically challenging components, the . They report their results in Nature Communications.

New ShadowRay attacks convert Ray clusters into crypto miners

A global campaign dubbed ShadowRay 2.0 hijacks exposed Ray Clusters by exploiting an old code execution flaw to turn them into a self-propagating cryptomining botnet.

Developed by Anyscale, the Ray open-source framework allows building and scaling AI and Python applications in a distributed computing ecosystem organized in clusters, or head nodes.

According to researchers at runtime security company Oligo, a threat actor they track as IronErn440 is using AI-generated payloads to compromise vulnerable Ray infrastructure that is reachable over the public 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.

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.

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