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A rare and unusual large solitary discoidal fossil has been discovered on a paving slab quarried from the cyclothems of the Central Clare Group (Kinderscoutian, Pennsylvanian, Carboniferous), western Ireland. The fossil impression consists of a smooth raised inner discoidal area, surrounded by a slightly lower relief outer ring, ca. 130–135 mm in diameter, with eight prominent equidistant ovoid raised nodes towards the outermost margin. The octoradial body plan of this enigmatic specimen suggests a cnidarian connection and, as it is preserved as a positive hyporelief cast, it is tentatively interpreted as the resting trace of a large benthic anemone, which was either partially or fully infaunal. The discoidal fossil is interesting palaeoecologically; it occurs within the well-known Liscannor flag-stone, which consists of thinly bedded, fine-grained sandstone that is extensively covered by prominent, sinuous to meandering, horizontal grazing trails attributed to Psammichnites plummeri. This sedimentary facies likely represents mouth-bar sedimentation on a delta front of a river-dominated delta. The discoidal impression occurs on a portion of the slab where these trace fossils are relatively scarce. Uncertainty surrounds the classification and interpretation of the disc due to its relatively simple morphological form, coupled with a lack of unequivocally diagnostic features — a problem commonly encountered in studies of discoidal fossils from both the Ediacaran and the Phanerozoic

Abstract Deep neural network algorithms are becoming intimately involved in the politics of the border, and are themselves bordering devices in that they classify, divide and demarcate boundaries in data. Deep learning involves much more than the deployment of technologies at the border, and is reordering what the border means, how the boundaries of political community can be imagined. Where the biometric border rendered the border mobile through its inscription in the body, the deep border generates the racialized body in novel forms that extend the reach of state violence. The deep border is written through the machine learning models that make the world in their own image – as clusters of attributes and feature spaces from which data examples can be drawn. The ‘depth’ that becomes imaginable in computer science models of the indefinite multiplication of layers in a neural network begins to resonate with state desires for a reach into the attributes of population. The border is spatially reimagined as a set of always possible functions, features, and clusters – as a ‘line of best fit’ where the fraught politics of the border can be condensed and resolved.

Abstract This essay explores how mid-twentieth-century mathematicians at New York University envisioned their discipline, cultural identities and social roles, and how these self-constructed identities materialized in the planning of their new academic building, Warren Weaver Hall. These mathematicians considered their research to be a ‘living part of the stream of science’, requiring a mathematics research library which they equated to a scientific laboratory and a complex of computing rooms which served as an interdisciplinary research centre. Identifying as ‘scientists’, they understood their societal value to be that of researchers, outputting mathematics research valuable to the natural sciences, the emerging field of computer science and the United States government and military, as well as educators. When the building opened in 1965, it was touted by the university administration as an ‘example of excellence’; it later, in 1970, became the site of heated negotiations when university student and faculty protestors staged a sit-in rebuking the Atomic Energy Commission's Computing Center housed on the second floor. A close study of the correspondence between the mathematicians and their peers in the university's administration, private foundations, government agencies and an architectural firm not only illuminates the day-to-day work practices of this eminent group of mathematicians, but also sheds light on their own self-constructed academic and social identities within their contemporaneous Cold War culture.