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Category: robotics/AI
This tiny grain-of-rice sensor gives robots a new sense and changes what delicate tools can detect
Researchers have developed a sensor about the size of a grain of rice that can measure forces and twisting motions in all directions using light instead of traditional electronics. The new sensor could help robotic tools and medical devices “feel” what they are touching, especially at very small scales.
“Although modern imaging systems can show structures clearly, they do not provide information about physical interaction, such as force or torque, and existing force sensors are often too bulky or complex to fit into miniature tools,” said research team leader Jianlong Yang from Shanghai Jiao Tong University in China. “By allowing machines to measure contact force, pressure, shear and twisting, our technology could make it possible for robots to detect unsafe contact early and adjust their actions in real time, especially in small and sensitive environments.”
In Optica journal, the researchers describe their new sensor, which measures just 1.7 millimeters and uses a single optical signal to measure forces and torques in all directions at once. Proof-of-concept tests showed that the sensor can detect stiffness variations and locate hidden structures in models that mimic a tumor embedded in tissue.
Hybrid AI architecture could turn neuromorphic systems into reliable discovery machines
The artificial intelligence (AI) machines that guide the world can be grouped into three main categories: inference machines, learning machines and discovery machines. Researchers at Washington University in St. Louis are tackling the rarest of these machines. A new study points to a better way to build discovery machines, thanks to recent research led by Shantanu Chakrabartty, the Clifford W. Murphy Professor and vice dean for research in the McKelvey School of Engineering at Washington University in St. Louis.
The work, now published in Nature Communications, builds off previous research on establishing a hybrid systems architecture, one that employs “neuromorphic” architecture modeled on human neurobiology functions combined with systems that leverage quantum mechanics to find optimal solutions to complex problems.
The research shows that these machines can consistently produce state-of-the-art solutions with high reliability and with competitive time-to-solution metrics, Chakrabartty said.
Google: Hackers used AI to develop zero-day exploit for web admin tool
Researchers at Google Threat Intelligence Group (GTIG) say that a zero-day exploit targeting a popular open-source web administration tool was likely generated using AI.
The exploit could be leveraged to bypass the two-factor authentication (2FA) protection in a popular open-source, web-based system administration tool that remains unnamed.
Although the attack was foiled before the mass exploitation phase, the incident shows that threat actors are relying more on AI assistance for their vulnerability discovery and exploitation efforts.
TrickMo Android banker adopts TON blockchain for covert comms
A new variant of the TrickMo Android banking malware, delivered in campaigns targeting users across Europe, introduces new commands and uses The Open Network (TON) for stealthy command-and-control communications.
The TrickMo banker was first spotted in September 2019 and has remained in active development, constantly receiving updates since then.
In October 2024, Zimperium analyzed 40 variants of the malware delivered via 16 droppers, communicating with 22 distinct command-and-control (C2) infrastructures, and targeting sensitive data belonging to users worldwide.
Our Extropian Future, with Natasha Vita-More
Our extropian future: natasha vita-more on AI, nanotechnology, mind uploading, and the birth of transhumanism.
What happened to the future we dreamed about on the Extropian mailing list 30 years ago? Did we get the timelines wrong, or was the architecture of our thinking correct? In this compelling follow-up to the conversation with Max More, Giulio Prisco sits down with Natasha Vita-More—futurist, designer, and co-founder of the Extropian movement—to assess the state of \.
The Hammer of AI: When Every Problem Looks Like a Nail
There is no dataset for grief.
No metric for justice.
No optimizer for legitimacy.
And yet we keep bringing the Hammer of AI to every problem we face. Climate change. Pandemics. Cancer. Energy. War. Political corruption. There is no problem that the omnipresent, all-knowing, all-mighty artificial superintelligence will not eventually crack.
This is a religion. Technology is its faith. Silicon Valley is its Promised Land. Entrepreneurs are its prophets. And we are all believers.
I should know. I used to be one.
In my latest piece on Singularity Weblog, I argue that some problems do bend to computation: fusion, protein folding, the genome. But others do not. They are not computable, only livable. And when we hammer them anyway, things break. Sometimes the thing that breaks is the problem. Sometimes it is us.
AI Will Replace Most Jobs
AI is moving faster than most people realize.
In this video, Geoffrey Hinton (the “Godfather of AI”) explains why we may not be able to slow it down, what happens to jobs, and why the future could be very different from what we expect.
If this video helped you understand AI a bit better and you’d like to support the channel, I’d really appreciate it:
👉 https://www.paypal.com/ncp/payment/ML… job displacement to loss of control and growing inequality, this is a clear look at where AI is heading. — 🎥 Resources related to this topic: 🤖 AI Voice & Tools (ElevenLabs): https://try.elevenlabs.io/dw64rd295juq #ad 📚 Want to understand where AI is going? 👉 “Not Insects: The Life of Geoffrey Hinton” – Paul D. Johnson: https://amzn.to/4eYKYrm #ad — ⏱️ Video Chapters: 00:00 AI Can’t Be Slowed Down 00:40 AI and Job Loss Explained 01:45 AI Will Replace Most Jobs 03:10 AI Replaces Human Intelligence 04:05 The Control Problem 05:10 Real AI in Action (Agents) 06:10 The Future of Work 06:50 Why This Is Hard to Accept — 📚 Recommended reading on AI: 👉 “How to Create a Mind: The Secret of Human Thought Revealed” – Ray Kurzweil: https://amzn.to/3R3oMlV #ad 👉 “Scary Smart” – Mo Gawdat: https://amzn.to/4b8n9v0 #ad 👉 “Co-Intelligence” – Ethan Mollick: https://amzn.to/4bmUe57 #ad — 🧠 About this channel: Synth Insights highlights the most important ideas from leading voices in AI — breaking them down into clear, practical insights you can actually understand and use. The goal is simple: help you stay ahead of what’s coming. — (As an Amazon Associate, I earn from qualifying purchases. This description may contain affiliate links, which means I may receive a commission at no extra cost to you.) #AI #ArtificialIntelligence #GeoffreyHinton #FutureOfAI #AGI
From job displacement to loss of control and growing inequality, this is a clear look at where AI is heading.
🎥 Resources related to this topic:
🤖 AI Voice & Tools (ElevenLabs):