Toggle light / dark theme

Notably in April, Sierra Space announced the completion of successful hypervelocity impact trials conducted at NASA’s White Sands Test Facility in Las Cruces, New Mexico, to optimize the structural integrity of Sierra Space’s LIFE habitat space station technology. This included the use of NASA’s .50 caliber two-stage light gas gun to replicate micrometeoroid and orbital debris (MMOD) impacts to LIFE’s outer shield, to prepare the space station of use in orbit.

About Sierra Space.

Sierra Space is a leading commercial space company and emerging defense tech prime that is building an end-to-end business and technology platform in space to benefit and protect life on Earth. With more than 30 years and 500 missions of space flight heritage, the company is reinventing both space transportation with Dream Chaser®, the world’s only commercial spaceplane, and the future of space destinations with the company’s expandable space station technology. Using commercial business models, the company is also delivering orbital services to commercial, DoD and national security organizations, expanding production capacity to meet the needs of constellation programs. In addition, Sierra Space builds a host of systems and subsystems across solar power, mechanics and motion control, environmental control, life support, propulsion and thermal control, offering myriad space-as-a-service solutions for the new space economy.

A joint team of researchers led by scientists at King Abdullah University of Science and Technology (KAUST) and King Abdulaziz City for Science and Technology (KACST) has reported the fastest quantum random number generator (QRNG) to date based on international benchmarks. The QRNG, which passed the required randomness tests of the National Institute of Standards and Technology, could produce random numbers at a rate nearly a thousand times faster than other QRNG.

“This is a significant leap for any industry that depends on strong data security,” said KAUST Professor Boon Ooi, who led the study, which is published in Optics Express. KAUST Professor Osman Bakr also contributed to the study.

Random number generators are critical for industries that depend on security, such as health, finance, and defense. But the random number generators currently used are vulnerable because of an intrinsic flaw in their design.

To guarantee high data security, encryption must be unbreakable while the data remains rapidly and easily readable. A novel strategy for optical encryption/decryption of information has now been introduced in the journal Angewandte Chemie by a Chinese research team. It is based on compounds with carefully modulated luminescent properties that change in response to external stimuli.

The compounds are hybrid two-dimensional organic-inorganic metal-halide perovskites, whose structure consists of inorganic layers formed from lead and iodide ions (linked PbI6 octahedra) with organic cations arranged between them. They are easy to produce, inexpensive, and printable, while demonstrating interesting optoelectronic properties.

A team led by Shenlong Jiang, Qun Zhang, and Yi Luo at the University of Science and Technology of China (Hefei) worked with three perovskites with only slight variations in their cations (phenethylammonium lead iodide (PEA)2PbI4 and its fluoridated (2-F-PEA)2PbI4 and brominated (4-Br-PEA)2PbI4 derivatives).

As many as 60 malicious npm packages have been discovered in the package registry with malicious functionality to harvest hostnames, IP addresses, DNS servers, and user directories to a Discord-controlled endpoint.

The packages, published under three different accounts, come with an install‑time script that’s triggered during npm install, Socket security researcher Kirill Boychenko said in a report published last week. The libraries have been collectively downloaded over 3,000 times.

“The script targets Windows, macOS, or Linux systems, and includes basic sandbox‑evasion checks, making every infected workstation or continuous‑integration node a potential source of valuable reconnaissance,” the software supply chain security firm said.

Neuroscientists and materials scientists have created contact lenses that enable infrared vision in both humans and mice by converting infrared light into visible light. Unlike infrared night vision goggles, the contact lenses, described in the journal Cell, do not require a power source—and they enable the wearer to perceive multiple infrared wavelengths. Because they’re transparent, users can see both infrared and visible light simultaneously, though infrared vision was enhanced when participants had their eyes closed.

“Our research opens up the potential for noninvasive wearable devices to give people super-vision,” says senior author Tian Xue, a neuroscientist at the University of Science and Technology of China. “There are many potential applications right away for this material. For example, flickering infrared light could be used to transmit information in security, rescue, encryption or anti-counterfeiting settings.”

The contact lens technology uses nanoparticles that absorb infrared light and convert it into wavelengths that are visible to mammalian eyes (e.g., in the 400–700 nm range). The nanoparticles specifically enable the detection of “near-infrared light,” which is infrared light in the 800‑1600 nm range, just beyond what humans can already see.

Computer scientists at ETH Zurich have uncovered a serious flaw in Intel processors that could let attackers steal sensitive information by exploiting how modern chips predict upcoming actions. Using specially designed sequences of instructions, hackers can bypass security boundaries and gradually read the entire memory of a shared processor. This vulnerability affects a wide range of Intel chips used in personal computers, laptops, and cloud servers.

Since Nick Bostrom wrote Superintelligence, AI has surged from theoretical speculation to powerful, world-shaping reality. Progress is undeniable, yet there is an ongoing debate in the AI safety community – caught between mathematical rigor and swiss-cheese security. P(doom) debates rage on, but equally concerning is the risk of locking in negative-value futures for a very long time.

Zooming in: motivation selection-especially indirect normativity-raises the question: is there a structured landscape of possible value configurations, or just a chaotic search for alignment?

From Superintelligence to Deep Utopia: not just avoiding catastrophe but ensuring resilience, meaning, and flourishing in a’solved’ world; a post instrumental, plastic utopia – where humans are ‘deeply redundant’, can we find enduring meaning and purpose?

This is our moment to shape the future. What values will we encode? What futures will we entrench?

0:00 Highlights.
3:07 Intro.
4:15 Interview.

P.s. the background music at the start of the video is ’ Eta Carinae ’ which I created on a Korg Minilogue XD: https://scifuture.bandcamp.com/track/.… music at the end is ‘Hedonium 1′ which is guitar saturated with Strymon reverbs, delays and modulation: / hedonium-1 Many thanks for tuning in! Please support SciFuture by subscribing and sharing! Buy me a coffee? https://buymeacoffee.com/tech101z Have any ideas about people to interview? Want to be notified about future events? Any comments about the STF series? Please fill out this form: https://docs.google.com/forms/d/1mr9P… Kind regards, Adam Ford

ASILAB is excited to introduce Asinoid – the world’s first true artificial superintelligence built on the architecture of the human brain. Designed to think, learn, and evolve autonomously like a living organism.

Learn more on our website: http://asilab.com.

Asinoid isn’t just another AI. Unlike today’s pre-trained, prompt-driven models and agents, Asinoid is a self-improving and proactive mind. It learns over time. It remembers. It sets its own goals. And it gets smarter by rewiring itself from within.

An Asinoid can power a fleet of autonomous drones. Act as the brain inside your security system. It can drive your R&D, run your meetings, become the cognitive layer behind your SaaS product or even co-found a company with you.

The possibilities are endless. And we want to explore them with you.

We’re opening access to pioneering companies, researchers, and developers who want to build with us. If you’re ready to create something groundbreaking, let’s get started.

AI surveillance, AI surveillance systems, AI surveillance technology, AI camera systems, artificial intelligence privacy, AI tracking systems, AI in public surveillance, smart city surveillance, facial recognition technology, real time surveillance ai, AI crime prediction, predictive policing, emotion detecting ai, AI facial recognition, privacy in AI era, AI and data collection, AI spying tech, surveillance capitalism, government surveillance 2025, AI monitoring tools, AI tracking devices, AI and facial data, facial emotion detection, emotion recognition ai, mass surveillance 2025, AI in smart cities, china AI surveillance, skynet china, AI scanning technology, AI crowd monitoring, AI face scanning, AI emotion scanning, AI powered cameras, smart surveillance system, AI and censorship, privacy and ai, digital surveillance, AI surveillance dangers, AI surveillance ethics, machine learning surveillance, AI powered face id, surveillance tech 2025, AI vs privacy, AI in law enforcement, AI surveillance news, smart city facial recognition, AI and security, AI privacy breach, AI threat to privacy, AI prediction tech, AI identity tracking, AI eyes everywhere, future of surveillance, AI and human rights, smart cities AI control, AI facial databases, AI surveillance control, AI emotion mapping, AI video analytics, AI data surveillance, AI scanning behavior, AI and behavior prediction, invisible surveillance, AI total control, AI police systems, AI surveillance usa, AI surveillance real time, AI security monitoring, AI surveillance 2030, AI tracking systems 2025, AI identity recognition, AI bias in surveillance, AI surveillance market growth, AI spying software, AI privacy threat, AI recognition software, AI profiling tech, AI behavior analysis, AI brain decoding, AI surveillance drones, AI privacy invasion, AI video recognition, facial recognition in cities, AI control future, AI mass monitoring, AI ethics surveillance, AI and global surveillance, AI social monitoring, surveillance without humans, AI data watch, AI neural surveillance, AI surveillance facts, AI surveillance predictions, AI smart cameras, AI surveillance networks, AI law enforcement tech, AI surveillance software 2025, AI global tracking, AI surveillance net, AI and biometric tracking, AI emotion AI detection, AI surveillance and control, real AI surveillance systems, AI surveillance internet, AI identity control, AI ethical concerns, AI powered surveillance 2025, future surveillance systems, AI surveillance in cities, AI surveillance threat, AI surveillance everywhere, AI powered recognition, AI spy systems, AI control cities, AI privacy vs safety, AI powered monitoring, AI machine surveillance, AI surveillance grid, AI digital prisons, AI digital tracking, AI surveillance videos, AI and civilian monitoring, smart surveillance future, AI and civil liberties, AI city wide tracking, AI human scanner, AI tracking with cameras, AI recognition through movement, AI awareness systems, AI cameras everywhere, AI predictive surveillance, AI spy future, AI surveillance documentary, AI urban tracking, AI public tracking, AI silent surveillance, AI surveillance myths, AI surveillance dark side, AI watching you, AI never sleeps, AI surveillance truth, AI surveillance 2025 explained, AI surveillance 2025, future of surveillance technology, smart city surveillance, emotion detecting ai, predictive AI systems, real time facial recognition, AI and privacy concerns, machine learning surveillance, AI in public safety, neural surveillance systems, AI eye tracking, surveillance without consent, AI human behavior tracking, artificial intelligence privacy threat, AI surveillance vs human rights, automated facial ID, AI security systems 2025, AI crime prediction, smart cameras ai, predictive policing technology, urban surveillance systems, AI surveillance ethics, biometric surveillance systems, AI monitoring humans, advanced AI recognition, AI watchlist systems, AI face tagging, AI emotion scanning, deep learning surveillance, AI digital footprint, surveillance capitalism, AI powered spying, next gen surveillance, AI total control, AI social monitoring, AI facial mapping, AI mind reading tech, surveillance future cities, hidden surveillance networks, AI personal data harvesting, AI truth detection, AI voice recognition monitoring, digital surveillance reality, AI spy software, AI surveillance grid, AI CCTV analysis, smart surveillance networks, AI identity tracking, AI security prediction, mass data collection ai, AI video analytics, AI security evolution, artificial intelligence surveillance tools, AI behavioral detection, AI controlled city, AI surveillance news, AI surveillance system explained, AI visual tracking, smart surveillance 2030, AI invasion of privacy, facial detection ai, AI sees you always, AI surveillance rising, future of AI spying, next level surveillance, AI technology surveillance systems, ethical issues in AI surveillance, AI surveillance future risks.