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Rover Perseverance, by contrast, will dive in straight away for a harrowing sky crane touchdown similar to the Curiosity rover’s grand Martian entrance in 2012. The odds are in NASA’s favour: It’s nailed eight of its nine attempted Mars landings. Despite their differences the 1 ton Perseverance is larger and more elaborate than the Tianwen 1 rover both will prowl for signs of ancient microscopic life.

The bigger story may be what was missing from the Korean theatrical market. The past week saw the online only release of “Space Sweepers,” an astronautical adventure that has been billed as Korea’s first space opera. It had previously been set as one of the highlights of the peak holiday season in fall last year, but with release dates in flux and audience behavior difficult to predict the film was instead licensed to Netflix..

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216 S Hamilton Street: Commercial building constructed in 1894, according to the City Assessor’s Office records. Applicant: Christopher Gosch, Populance Applicant’s Comments: Existing house converted to commercial use in UMX Zoning District. Staff Findings: The preservation file for this property indicates that the vernacular brick house was constructed in 1853 for Gabriel Bjornson.

From our rules: R4. Topics should drive discussion. All top level posts are expected to be about FI, RE, or FIRE, with discussion being the main goal of this sub. The vanishing gradients problem inherent in Simple Recurrent Networks (SRN) trained with back propagation, has led to a significant shift towards the use of Long Short term Memory (LSTM) and Echo State Networks (ESN), which overcome this problem through either second order error carousel schemes or different learning algorithms respectively. This paper re opens the case for SRN based approaches, by considering a variant, the Multi recurrent Network (MRN). We show that memory units embedded within its architecture can ameliorate against the vanishing gradient problem, by providing variable sensitivity to recent and more historic information through layer and self recurrent links with varied weights, to form a so called sluggish state based memory.