Industry
PerfectDou: DominatingDouDizhuwith PerfectInformationDistillation
As a challenging multi-player card game, DouDizhu has recently drawn much attention for analyzing competition and collaboration in imperfect-information games. In this paper, we propose PerfectDou, a state-of-the-art DouDizhu AI system that dominates the game, in an actor-critic framework with a proposed technique named perfect information distillation.
A Creepy New Device Is Spreading Across School Campuses. Students Are Being Harassed. Teachers Are Sounding the Alarm.
Users Meta's A.I. Smart Glasses Are Wreaking Havoc in Schools Across the Country. It's Only Going to Get Worse. As the discreet wearable cameras become more popular, students are saying they feel constantly watched and harassed--and professors are reshaping their classrooms in response. Joziah was tabling on campus for his peer mentor job at the end of last semester at Florida State University when he noticed something strange happening across the quad: A trio of men, wearing Meta AI glasses, were stopping every young woman who passed by and asking them for their social media contacts. "I recognized them from TikTok, because they're kind of big, especially in Miami," the 19-year-old told me.
Supplementary Material for Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains 1 RansomwareDataset 1.1 BitcoinHeist features
Aou(n), where an output address au receives Aou(n) coins. On the Bitcoin network, an address may appear multiple times with different inputs and outputs. An address u that appears in a transaction at time t can be denoted as atu. Thenumberofblocksmeasuresthe speed in the 24-hour window that contains a transaction involving the coin. Second, temporal information of transactions, such as the local time, has been useful to cluster criminal transactions.
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
Hongteng Xu, Wenlin Wang, Wei Liu, Lawrence Carin
Theworddistributions of topics, their optimal transports to the word distributions of documents, and the embeddings of words are learned in a unified framework. When learning thetopic model, weleverage adistilled underlying distance matrix toupdate the topic distributions and smoothly calculate the corresponding optimal transports.