In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of artificial intelligence can resemble those of a human brain.
The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating these networks can boost learning, according to a study published in the open-access journal PLOS ...
A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex visual patterns could mark a major change in how next-generation AI is developed, according to a ...
How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that allows for the exact calculation of how reliably a neural network operates within a defined input ...
Research led by the National Institute of Biological Sciences in Beijing has discovered that switching on a single dormant gene enables mice to regenerate ear tissue.
Anxiety, the psychological and physiological state characterized by an anticipation of potential threats and a heightened sense of vigilance, is regularly experienced by many humans worldwide. Research suggests that anxiety ...
Ribosomes are tiny molecular machines inside all living cells that build proteins, and ribosome biogenesis is the complex, multi-step process by which they are made. During brain development, neural stem cell proliferation ...
Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, nuclear physicists at the U.S. Department of Energy's Thomas Jefferson National Accelerator Facility ...
A small dinosaur that once dashed along North American riverbanks has found a new home in London. The new species, named Enigmacursor mollyborthwickae, is the most complete named specimen of its kind and is now on permanent ...
A research team led by the University of Aberdeen has developed a pioneering AI model to improve accuracy and reduce computational time in land cover mapping, particularly for vegetation.
