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 journalCell, 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., electromagnetic radiation 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.
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Anyone who speculates on likely events ahead of time and prepares accordingly can react quicker to new developments. What practically every person does every day, consciously or unconsciously, is also used by modern computer processors to speed up the execution of programs. They have so-called speculative technologies which allow them to execute instructions on reserve that experience suggests are likely to come next. Anticipating individual computing steps accelerates the overall processing of information.
However, what boosts computer performance in normal operation can also open up a backdoor for hackers, as recent research by computer scientists from the Computer Security Group (COMSEC) at the Department of Information Technology and Electrical Engineering at ETH Zurich shows.
The computer scientists have discovered a new class of vulnerabilities that can be exploited to misuse the prediction calculations of the CPU (central processing unit) in order to gain unauthorized access to information from other processor users. They will present their paper at the 34th USENIX Security Symposium (USENIX 2025), to be held August 13–15, 2025, in Seattle.
In a new Nature Communications study, researchers have developed an in-memory ferroelectric differentiator capable of performing calculations directly in the memory without requiring a separate processor.
The proposed differentiator promises energy efficiency, especially for edge devices like smartphones, autonomous vehicles, and security cameras.
Traditional approaches to tasks like image processing and motion detection involve multi-step energy-intensive processes. This begins with recording data, which is transmitted to a memory unit, which further transmits the data to a microcontroller unit to perform differential operations.
Please see my latest Security & Tech Insights newsletter. Thanks and have a great weekend!
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Dear Friends & Colleagues, please refer to the latest issue of the Security & Tech Insights newsletter. In this issue, several articles highlight emerging tech trends for 2025. Some of these topics were also selected by Forrester’s research on emerging technologies in 2025, which highlights tech that will help drive AI-led innovation while enabling long-term resilience. Thanks for reading and stay safe! Chuck Brooks.
Countries in the Global South risk being left out of the quantum revolution — along with its economic, technological and security benefits — due to growing export controls, siloed research initiatives and national security concerns, a new policy analysis argues.
In the first of a series of articles on quantum technologies published by the policy journal Just Securit y, researchers Michael Karanicolas, of Dalhousie University, and Alessia Zornetta, of UCLA Law, examine how the geopolitics of emerging quantum technologies are replicating long-standing patterns of technological exclusion. The authors argue that absent meaningful interventions, quantum could become another engine of global inequality, one that threatens to lock poorer nations out of the next era of technological and economic development.
The authors trace the roots of this divide to export control regimes that are quickly expanding in response to the strategic potential of quantum systems. Since 2020, governments in the U.S., EU and China have implemented targeted restrictions on quantum-enabling hardware, software, and communications systems.
