Interesting Engineering

Testing living neurons as a computing substrate

Biocomputing research is testing living neurons for computation as scientists look for energy-efficient alternatives to ...

The rise of Moltbook suggests viral AI prompts may be the next big security threat

History may soon repeat itself with a novel new platform: networks of AI agents carrying out instructions from prompts and sharing them with other AI agents, which could spread the instructions ...

AI agent social network Moltbook left millions of credentials publicly exposed

Moltbook, the recently launched social media platform for artificial intelligence agents, has been hit by a major security ...
Tech Xplore

Brain-inspired hardware uses single-spike coding to run AI more efficiently

The use of artificial intelligence (AI) systems, such as the models underpinning the functioning of ChatGPT and various other online platforms, has grown exponentially over the past few years. Current ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Frontiers

Population coding and self-organized ring attractors in recurrent neural networks for continuous variable integration

Representing and integrating continuous variables is a fundamental capability of the brain, often relying on ring attractor circuits that maintain a persistent bump of activity. To investigate how ...
Frontiers

The nature of quantum parallel processing and its implications for coding in brain neural networks: a novel computational mechanism

Conventionally it is assumed that the nerve impulse is an electrical process based upon the observation that electrical stimuli produce an action potential as defined by Hodgkin Huxley (1952) (HH).
IEEE

Neural Network Coding Layer (NNCL): Enhancing Deep Learning Robustness against Feature Erasure

Abstract: This paper proposes a novel Neural Network Coding Layer (NNCL) that applies network coding theory to provide structured redundancy and enable reconstruction of lost features, thereby ...