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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.”

Newly discovered brain cells are wired for uncertainty

Newly identified brain cells evolved along the theme, “Life is uncertain; Eat dessert first.” The neurons, located in the front part of the brain, are most active when the outcome of a decision is uncertain, suggesting that they help with decision making, along with learning and mental flexibility in general.

This UCLA discovery in rats could aid the development of new treatments that involve the targeting of rigid thought patterns such as those in anxiety and in humans, who also have the same kind of .

“If we have full knowledge of the things that will happen, then we really don’t need to learn, and we don’t have to adapt our behavior,” said Alicia Izquierdo, a UCLA professor of behavioral neuroscience in the department of psychology and the senior author of the paper published in the journal Nature Communications.

1,000-year-old gut microbiome revealed for young man who lived in pre-Hispanic Mexico

Analysis of preserved feces and intestinal tissue has revealed specific types of bacteria that were present in the microbiome of a young adult man who lived in Mexico about 1,000 years ago, prior to Spanish colonization. Santiago Rosas-Plaza of Universidad Nacional Autónoma de México and colleagues present these findings in PLOS One.

The consists of microorganisms, including , that naturally live in people’s intestines. Certain types of bacteria are widely associated with the human gut microbiome, but a person’s particular mix of bacteria may vary depending on factors such as age, diet, health, and where they live. Studying ancient microbiomes using mummies and can therefore deepen understanding of ancient populations and show how the human microbiome may have changed over time.

A growing number of ancient microbiomes have been revealed, including for an ancient Incan person and Germany’s “Tyrolean Iceman.” To further expand the field, Rosas-Plaza and colleagues analyzed the exceptionally well-preserved remains of a man discovered in a in Zimapán, Mexico. Prior analyses suggest the “Zimapán man” was most likely a seasonal seminomadic hunter-gatherer who was part of the ancient Mesoamerican Otopame culture and died about 1,000 years ago between the ages of 21 and 35.

‘Traffic controller’ protein that protects DNA discovered, and it may help kill cancer cells

Mayo Clinic researchers have identified a protein that acts like a traffic controller for DNA, preventing damage during cell division—a discovery that could lead to new cancer therapies, according to a study published in Nature.

“DNA is the code of life. It’s critical for how a cell functions, but it’s also critical for our own being and defines what we are,” says Zhenkun Lou, Ph.D., the Swanson/Schmucker Endowed Professor to Support Health and Cancer Research at Mayo Clinic and the senior author of the new study.

When cells divide, DNA must be copied from one cell to the next—a process called replication. Dr. Lou’s research team discovered that a protein called KCTD10 plays a surprising role in protecting DNA during this critical stage. Acting like a built-in sensor, KCTD10 helps shield the DNA replication from damage.

HALO: hierarchical causal modeling for single cell multi-omics data

Chromatin accessibility dynamics causally influence changes in gene expression levels, but these fluctuations may not be directly coupled over time. Here, authors develop computational causal framework HALO, examining epigenetic plasticity and gene regulation dynamics in single-cell multi-omic data.

Computational Creativity Research: Towards Creative Machines

Computational Creativity, Concept Invention, and General Intelligence in their own right all are flourishing research disciplines producing surprising and captivating results that continuously influence and change our view on where the limits of intelligent machines lie, each day pushing the boundaries a bit further. By 2014, all three fields also have left their marks on everyday life – machine-composed music has been performed in concert halls, automated theorem provers are accepted tools in enterprises’ R&D departments, and cognitive architectures are being integrated in pilot assistance systems for next generation airplanes.

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