Summary: Researchers have bridged the gap between biology and silicon by creating a 3D programmable device that merges living brain cells with advanced electronics. Unlike previous “brain-on-a-chip” ...

In about one out of every 1,000 pregnancies, the neural tube, a key nervous system structure, fails to close properly. Georgia Tech physicists are now helping explain why this happens, having ...

"The Burning Man of snake hunting: it brings the wrong kind of attention to this problem." Oscope Labs has unveiled an official trailer for a documentary film titled The Python Hunt, going right into ...

Advanced 3D reconstructions of the comb jelly’s aboral organ reveal a sensory system far more complex than scientists expected. The organ contains a wide variety of specialized cells and is closely ...

Fei-Fei Li’s World Labs has secured a $200 million investment from software design giant Autodesk as part of a larger $1 billion round from backers, including AMD, Emerson Collective, Fidelity, Nvidia ...

Eric Gutiérrez, 6th February 2026. A Python implementation of a 1-hidden layer neural network built entirely from first principles. This project avoids deep learning libraries (like TensorFlow or ...

The COVID-19 pandemic highlighted an urgent need for efficient, durable, and widely accessible vaccines. This prompted several important innovations in vaccine technology, and researchers continue to ...

Researchers have used 3D-printing technology to improve the viral titer of microneedle array patches, resulting in effective immunogenicity and protection against infection in mice. (Nanowerk News) ...

Abstract: To address the degradation in radiation performance caused by external deformations in variable-curvature cylindrical conformal antenna arrays, this letter proposes a real-time beam pattern ...

Array Labs plans its first launch of formation-flying satellites in 2027. Credit: Array Labs Space, in military parlance, is “the ultimate high ground.” For years, the Pentagon has mused about ways to ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...