AI Startup Temporal in Talks for a Valuation of at Least $12 Billion - Bloomberg.com
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We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply. AbstractRoad traffic accidents claim roughly 1.35 million lives each year, with delayed hazard perception rather than mechanical failure implicated in most collisions. Dashcam-based accident anticipation offers a low-cost complement to sensor-heavy ADAS, yet controlled comparisons across architectures remain rare. We present DashGuard, which trains and evaluates six spatio-temporal models a 3D CNN, CNN+LSTM, CNN+Transformer, and three two-stream variants (lightweight CNN, ResNet-18, and Transformer) on the Car Crash Dataset (1500 crash and 2000 normal videos) under a consistent, leak-free protocol. A video-level 70/15/15 split prevents clip-level contamination; four-level soft labels encode temporal distance to the accident frame; and a two-clip temporal consistency gate substantially cuts false-positive alerts.

Today’s NYT Strands Hints, Spangram and Answers for Sunday, Oct. 18, #959 - CNET
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WARNING: ConnectWise Supply-Chain Attack Exposes Microsoft 365 Tenants - LinkedIn
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