Artificial intelligence (AI) researchers in New York have achieved another milestone with their development of synthetic ‘genome’ compression, allowing artificial neural networks to learn and evolve in a manner that mirrors the processes of living creatures, opening up new possibilities in AI research.
In nature, the fittest survive to pass on their traits and behaviors to the next generation through their DNA. At Cold Springs Harbor Laboratory (CSHL), Professors Anthony Zador and Alex Koulakov solved for the exponential compression rate of the human genome to develop a ‘nested’ AI that can perform well from initialization like an instinctual animal
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