Reply [EXM, STAR: REY] today announced the start of a collaboration with the Department of Pathophysiology and Transplantation of the University of Milan, together with the “Centro Dino Ferrari” of ...
Biocomputing research is testing living neurons for computation as scientists look for energy-efficient alternatives to ...
Graphics processing units (GPUs), the expensive computer chips made by companies like Nvidia, AMD, and Sima.ai, are no longer the only way to train and deploy artificial intelligence. Biological Black ...
Despite the unquestionably impressive advancements we’ve witnessed in recent years, AI is still lagging far behind human intelligence. While it can process vast amounts of data, recognize patterns, ...
TL;DR: Research in both biocomputing and neuromorphic computing may hold the key to better computer energy efficiency. By drawing inspiration from nature's own efficient systems, such as the human ...
Australian researchers are turning to nature for the next computing revolution, harnessing living cells and biological systems as potential replacements for traditional silicon chips. A new paper from ...
Melbourne, Australia - 12 August 2025 - Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a ...
When a molecule of tryptophan absorbs ultraviolet light, it glows faintly as it releases energy at a lower frequency. This effect, called fluorescence, is well known. But something extraordinary ...
Modern computers are a triumph of technology. A single computer chip contains billions of nanometre-scaled transistors that operate extremely reliably and at a rate of millions of operations per ...
Source: Via Tenor The human brain has been described as the most complex structure in the universe (Dolan, 2007; see also Pang, 2023). Researchers estimate that we have over 100 trillion connections ...
Source: Via Tenor The human brain has been described as the most complex structure in the universe (Dolan, 2007; see also Pang, 2023). Researchers estimate that we have over 100 trillion connections ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results