In a move reflective of a viral meme, a new study shows that an ancient fish really did evolve to walk out of the water, only to then go back to the sea.
Source: This fish evolved to walk on land — then said ‘nope’ and went back to the water : NPR
Scientists have found the first examples of similar plant forms evolving repeatedly within different regions, suggesting that evolution can be predicted.
Source: Plant study hints evolution may be predictable | YaleNews
Scientists are examining evolutionary breadcrumbs to reconstruct the vision of whales that lived as long as 55 million years ago.
Source: What Did Ancient Whales See? – The Atlantic
The human brain is neither a huge homogeneous set of neurons nor a massive set of task-specific programs that each solves a single problem.
Source: Combining Neuroscience, Psychology, and AI Yields a Foundational Model of Human Thought
The VMAT1 gene evolved through natural selection in human evolution. Those with the Ile-type variant of the VMAT1 gene are less prone to anxiety and depression.
Source: Brain Mechanism Underlying Evolution of Anxiety – Neuroscience News
I was in medical limbo for four days which broke my obsessive drafting of the book, fortunate. There will be more drafts but the basic versioning is done, I suspect. There are now two versions, at…
Source: The Last Revolution: Postcapitalist Futures…//8_1_22 – 1848+: The End(s) of History
The good news is we still have time to close the gap between “could” and “should” in how scientists redesign and reengineer genetic code.
Source: Just Because You Can Doesn’t Mean You Should: What Genetic Engineers Can Learn From ‘Jurassic World’
The numbat genome can help scientists piece together the Tasmanian tiger’s genome—and maybe even resurrect Australia’s iconic lost species.
Source: How the Newly Decoded Numbat Genome Could Help Bring the Tasmanian Tiger Back From Extinction
The algorithm is deep learning’s first foray into building proteins around their functions, opening a door to previously unimaginable treatments.
Source: Protein-Designing AI Opens Door to Medicines Humans Couldn’t Dream Up