This is a ~58 minute talk titled “The Embodied Mind of a New Robot Scientist: symmetries between AI and bioengineering the agential material of life and their impact on technology and on our future” which I gave as a closing Keynote to the ALIFE conference in Japan (https://2025.alife.org/). This is a different talk than any I’ve done before, in that besides going over the remarkable capacities of living material, I discuss 1) the symmetries between how all agents navigate their world and how science discoveries are made, and 2) a new robot scientist platform that we have created. With respect to the latter, I discuss how the body and mind of this new embodied AI can serve as a translation and integration layer between human scientists and living matter such as the cells which make up Xenobots.
Category: robotics/AI – Page 3
Google is powering Belgium’s digital future with a two-year €5 billion investment in AI infrastructure
Google is investing an additional €5 billion in Belgium over the next two years to expand its cloud and AI infrastructure. This includes expansions of our data center campuses in Saint-Ghislain and will add another 300 full time jobs. We’ve also announced new agreements with Eneco, Luminus and Renner which will support the development of new onshore wind farms and support the grid with clean energy.
Our commitment goes beyond infrastructure. We’re also equipping Belgians with the skills needed to thrive in an AI-driven economy, at no cost and will fund non-profits to provide free, practical AI training for low-skilled workers.
This is an extraordinary time for European innovation and its digital and economic future. Google is deepening its roots in Belgium and investing in its residents to unlock significant economic opportunities for the country, helping to ensure it remains a leader in technology and AI.
The Limits of AI: Generative AI, NLP, AGI, & What’s Next?
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🤖 How far can AI go? Jeff Crume examines generative AI, NLP, and AGI, unpacking solved milestones like reasoning and creativity while tackling ongoing challenges like hallucinations and sustainability. Learn about the limits of AI and its role alongside humans in shaping the future.
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Hardware vulnerability allows attackers to hack AI training data
Researchers from NC State University have identified the first hardware vulnerability that allows attackers to compromise the data privacy of artificial intelligence (AI) users by exploiting the physical hardware on which AI is run.
The paper, “GATEBLEED: A Timing-Only Membership Inference Attack, MoE-Routing Inference, and a Stealthy, Generic Magnifier Via Hardware Power Gating in AI Accelerators,” will be presented at the IEEE/ACM International Symposium on Microarchitecture (MICRO 2025), being held Oct. 18–22 in Seoul, South Korea. The paper is currently available on the arXiv preprint server.
“What we’ve discovered is an AI privacy attack,” says Joshua Kalyanapu, first author of a paper on the work and a Ph.D. student at North Carolina State University. “Security attacks refer to stealing things actually stored somewhere in a system’s memory—such as stealing an AI model itself or stealing the hyperparameters of the model. That’s not what we found. Privacy attacks steal stuff not actually stored on the system, such as the data used to train the model and attributes of the data input to the model. These facts are leaked through the behavior of the AI model. What we found is the first vulnerability that allows successfully attacking AI privacy via hardware.”
Theoretical Foundations of Artificial General Intelligence
This book is a collection of writings by active researchers in the field of Artificial General Intelligence, on topics of central importance in the field. Each chapter focuses on one theoretical problem, proposes a novel solution, and is written in sufficiently non-technical language to be understandable by advanced undergraduates or scientists in allied fields.
This book is the very first collection in the field of Artificial General Intelligence (AGI) focusing on theoretical, conceptual, and philosophical issues in the creation of thinking machines. All the authors are researchers actively developing AGI projects, thus distinguishing the book from much of the theoretical cognitive science and AI literature, which is generally quite divorced from practical AGI system building issues.
AI-based model can help traffic engineers predict future sites of possible crashes
In a significant step toward improving road safety, Johns Hopkins University researchers have developed an AI-based tool that can identify the risk factors contributing to car crashes across the United States and to accurately predict future incidents.
The tool, called SafeTraffic Copilot, aims to provide experts with both crash analyses and crash predictions to reduce the rising number of fatalities and injuries that happen on U.S. roads each year.
The work, led by Johns Hopkins University researchers, is published in Nature Communications.
BatShadow Group Uses New Go-Based ‘Vampire Bot’ Malware to Hunt Job Seekers
In October 2024, Cyble also disclosed details of a sophisticated multi-stage attack campaign orchestrated by a Vietnamese threat actor that targeted job seekers and digital marketing professionals with Quasar RAT using phishing emails containing booby-trapped job description files.
BatShadow is assessed to be active for at least a year, with prior campaigns using similar domains, such as samsung-work[.]com, to propagate malware families including Agent Tesla, Lumma Stealer, and Venom RAT.
“The BatShadow threat group continues to employ sophisticated social engineering tactics to target job seekers and digital marketing professionals,” Aryaka said. “By leveraging disguised documents and a multi-stage infection chain, the group delivers a Go-based Vampire Bot capable of system surveillance, data exfiltration, and remote task execution.”