Microsoft has released an emergency update to fix a bug that prevents Azure virtual machines from launching when the Trusted Launch setting is disabled and Virtualization-Based Security (VBS) is enabled.
The bug impacted Windows Server 2025 and Windows 11 24H2 and was introduced during the July Patch Tuesday security updates.
“This update addresses an issue that prevented some virtual machines (VMs) from starting when Virtualization-Based Security (VBS) was enabled,” explains Microsoft.
With so many people using devices that can be connected to the internet, reliably securing wireless communications and protecting the data they are exchanging is of growing importance. While computer scientists have devised increasingly advanced security measures over the past decades, the most effective techniques rely on complex algorithms and intensive computations, which can consume a lot of energy.
Researchers at Peking University, Southeast University, University of Sannio and other institutes recently introduced a new approach for securing communications both effectively and energy-efficiently, which relies on a reconfigurable metasurface with properties that are modulated by chaotic patterns.
This approach, outlined in a paper published in Nature Communications, is based on an idea conceived by the senior authors Vincenzo Galdi, Lianlin Li and Tie Jun Cui, who oversaw the project. The idea was then realized at Peking University and Southeast University by junior authors JiaWen Xu Menglin Wei and Lei Zhang.
Tesla’s launch of a robo-taxi network marks the beginning of a significant transportation disruption that will transform mobility, economy, geopolitics, and urban landscapes with the widespread adoption of electric autonomous vehicles ## ## Questions to inspire discussion.
Transportation Revolution.
🚗 Q: How will Tesla’s Robotaxi network impact transportation? A: Tesla’s Robotaxi network in Austin, Texas marks the ignition point for transportation disruption, with multiple companies competing to provide taxi rides without human drivers, potentially capturing 80–90% market share in 10–15 years.
🛢️ Q: What industries will be disrupted by autonomous electric vehicles? A: Autonomous electric vehicles will disrupt the oil and agriculture industries, as vehicles are the number one users of crude oil, and corn is the top agricultural product in the US, used to produce ethanol for gasoline.
🌆 Q: How will urban planning change with the rise of autonomous vehicles? A: Cities will repurpose parking spaces for retail, living areas, and solar panels, transforming urban planning and enabling new forms of transportation, including drones and aircraft.
Environmental Impact.
Google is sharing more information on how Chrome operates when Android mobile users enable Advanced Protection, highlighting strong security improvements.
The tech giant recently extended its Advanced Protection Program to the device level with the release of Android 16, aimed at offering a robust, holistic security posture for high-risk individuals likely to be targeted by sophisticated spyware attacks.
Starting Android 16, Advanced Protection can be activated from the settings, strengthening security measures across the board, including on Google apps such as Chrome, Messages, and Phone.
(AP) — Ilya Sutskever, one of the founders of OpenAI who was involved in a failed effort to push out CEO Sam Altman, said he’s starting a safety-focused artificial intelligence company.
Sutskever, a respected AI researcher who left the ChatGPT maker last month, said in a social media post Wednesday that he’s created Safe Superintelligence Inc. with two co-founders. The company’s only goal and focus is safely developing “superintelligence” — a reference to AI systems that are smarter than humans.
The company vowed not to be distracted by “management overhead or product cycles,” and under its business model, work on safety and security would be “insulated from short-term commercial pressures,” Sutskever and his co-founders Daniel Gross and Daniel Levy said in a prepared statement.
If you’ve ever consumed food made with olive oil, there’s a good chance you’ve unknowingly ingested materials capable of producing lasers. Researchers have recently demonstrated edible microlasers—tiny lasers made entirely from food-safe materials—that can be used for food monitoring, product authentication and tagging. These edible microlasers are composed of droplets of oil or water–glycerol mixtures doped with natural optical gain substances, such as chlorophyll (the green pigment in leaves) or riboflavin (vitamin B2).
Researchers have shown that olive oil already contains enough chlorophyll to be used directly as a laser in the form of droplets without the need for additional ingredients. They can be excited using external light, such as a pulsed laser. The research is published in the journal Advanced Optical Materials.
Edible microlasers can be realized in different configurations, including whispering gallery modes (where light circulates inside a droplet) and Fabry–Pérot cavities (where light reflects back and forth between two surfaces). Their emission properties can be tuned by varying the cavity size or the surrounding conditions, such as the refractive index of the medium.
The Spanish police have arrested two individuals in the province of Las Palmas for their alleged involvement in cybercriminal activity, including data theft from the country’s government.
The duo has been described as a “serious threat to national security” and focused their attacks on high-ranking state officials as well as journalists. They leaked samples of the stolen data online to build notoriety and inflate the selling price.
“The investigation began when agents detected the leakage of personal data affecting high-level institutions of the State across various mass communication channels and social networks,” reads the police announcement.
Making the exchange of a message invulnerable to eavesdropping doesn’t strictly require quantum resources. All you need to do is to encrypt the message using a one-use-only random key that is at least as long as the message itself. What quantum physics offers is a way to protect the sharing of such a key by revealing whether anyone other than sender and recipient has accessed it.
Imagine that a sender (Alice) wants to send a message to a recipient (Bob) in the presence of an eavesdropper (Eve). First, Alice creates a string of random bits. According to one of the most popular quantum communication protocols, known as BB84, Alice then encodes each bit in the polarization state of an individual photon. This encoding can be performed in either of two orientations, or “bases,” which are also chosen at random. Alice sends these photons one at a time to Bob, who measures their polarization states. If Bob chooses to measure a given photon in the basis in which Alice encoded its bit, Bob’s readout of the bit will match that of Alice’s. If he chooses the alternative basis, Bob will measure a random polarization state. Crucially, until Alice and Bob compare their sequence of measurement bases (but not their results) over a public channel, Bob doesn’t know which measurements reflect the bits encoded by Alice. Only after they have made this comparison—and excluded the measurements made in nonmatching bases—can Alice and Bob rule out that eavesdropping took place and agree on the sequence of bits that constitutes their key.
The efficiency and security of this process depend on Alice’s ability to generate single photons on demand. If that photon-generation method is not reliable—for example, if it sometimes fails to generate a photon when one is scheduled—the key will take longer to share. If, on the other hand, the method sometimes generates multiple photons simultaneously, Alice and Bob run the risk of having their privacy compromised, since Eve will occasionally be able to intercept one of those extra photons, which might reveal part of the key. Techniques for detecting such eavesdropping are available, but they involve the sending of additional photons in “decoy states” with randomly chosen intensities. Adding these decoy states, however, increases the complexity of the key-sharing process.