Replicating the brain’s capabilities, an impossible task, may theoretically require thousands of H100, one of NVIDIA’s most powerful GPUs. At 700 watts per chip, we are looking at power consumption in the megawatt range. The brain runs on 20 watts. Scientists have taken inspiration from this remarkable organ to create chips that could cut conventional energy use by 70%.
Researchers at the University of Cambridge have developed a new brain-inspired nanoscale device that they say could dramatically reduce the enormous energy demands of artificial intelligence hardware. The team created an ultra-low-power “memristor”: a device that can both store and process information in the same location, much like synapses in the human brain.
In conventional computing architectures, memory and processing units are physically separated, requiring data to shuttle back and forth between these units for every task. This seemingly simple process consumes enormous amounts of electricity and is a significant contributor to AI’s exploding power demands.
Today’s advances in robotics are often driven by breakthroughs in artificial intelligence, machine learning, and perception. But in complex and constrained environments, the limiting factor is often hardware, not software. Systems that rely on constant data processing, high-bandwidth communication, and centralized compute can face delays, power constraints, and vulnerabilities that limit performance or prevent mission success altogether.
DARPA is looking to tackle these challenges by embedding intelligence directly into the physical materials of robotic systems. A new Request for Information (RFI), calls on the research community to help define a new class of materials capable of intermixed sensing, adapting, and acting in real time without relying on continuous external computation or communication links.
While the RFI itself is exploratory, it is a first step toward a more immediate opportunity: an invite-only, in-person workshop planned for the summer 2026. Selected participants will have the chance to present their ideas, engage with DARPA, and inform future program directions.
An exploit has been published for a local privilege escalation vulnerability dubbed “Copy Fail” that impacts Linux kernels released since 2017, allowing an unprivileged local attacker to gain root permissions.
The vulnerability is tracked as CVE-2026–31431 and was discovered by the offensive security company Theori, using its AI-driven pentesting platform Xint Code after scaning the Linux crypto/ sybsystem for about an hour.
Theori reported the finding to the Linux kernel security team on March 23, and patches became available within a week. Technical details and a proof-of-concept exploit for the flaw emerged publicly yesterday.
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The Fermi Paradox is the question of why we haven’t been contacted by any extraterrestrial species. In a recent paper, astrophysicists analyzed the paradox by instead examining how civilizations with the ability to send signals through space might develop. Unfortunately for us, their findings are quite bleak – but let’s take a look anyway.
Paper: https://arxiv.org/abs/2602.
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📩 Free weekly science newsletter ➜ https://sabinehossenfelder.com/newsle… Audio only podcast ➜ https://open.spotify.com/show/0MkNfXl… 🔗 Join this channel to get access to perks ➜ / @sabinehossenfelder 📚 Buy my book ➜ https://amzn.to/3HSAWJW #science #sciencenews #aliens #astrophysics This video discusses the Fermi Paradox, questioning the absence of extraterrestrial life despite the vastness of the cosmos. The Milky Way has had billions of years to produce civilizations, so where is everybody? A new paper’s analysis suggests a concerning conclusion regarding this silence, prompting us to consider what the lack of alien life tells us about our universe. 🔭
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#science #sciencenews #aliens #astrophysics.
This video discusses the Fermi Paradox, questioning the absence of extraterrestrial life despite the vastness of the cosmos. The Milky Way has had billions of years to produce civilizations, so where is everybody? A new paper’s analysis suggests a concerning conclusion regarding this silence, prompting us to consider what the lack of alien life tells us about our universe. 🔭