Experts say the emerging tech can dramatically accelerate advances in drug discovery, diagnostics and precision medicine.

Andes Y. L. Kei, Sherman S. M. Chow PAPER SHAFT: Secure, Handy, Accurate and Fast Transformer Inference Adoption of transformer-based machine learning models is growing, raising concerns about ...

Last year, our most detailed map of the universe yet suggested our understanding of dark energy has been wrong for decades. The shock result is reigniting the search for a better cosmic story ...

Quantum computing in 2026 still isn't a faster laptop. It doesn't make email snappier, and it won't speed up spreadsheets.

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

What if staying alive depends on minimizing surprise? The Free Energy Principle suggests that feeling itself may be what that process is like from the inside.

This important work identifies phlda2 as a specific marker for primordial cardiomyocytes in the adult zebrafish heart and demonstrates their essential role in myocardial morphogenesis and coronary ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

Friedli, S. and Velenik, Y. Statistical Mechanics of Lattice Systems: A Concrete Mathematical Introduction Cambridge: Cambridge University Press, 2017. ISBN: 978-1-107-18482-4 DOI: ...

A common type of error-correcting mechanism in biology is called kinetic proofreading. For example, if errors turn up when cells are making new DNA, enzymes can cut out incorrect nucleotides. They can ...

This notebook is provided as a learning resource to aid students of machine learning in understanding artificial neural networks (ANNs). With this resource, you are able to visualise an animation of ...