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The future of transportation in waterway-rich cities such as Amsterdam, Bangkok, and Venice — where canals run alongside and under bustling streets and bridges — may include autonomous boats that ferry goods and people, helping clear up road congestion. Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Senseable City Lab in the Department of Urban Studi
iSAM: Incremental Smoothing and Mapping What is iSAM? iSAM is an optimization library for sparse nonlinear problems as encountered in simultaneous localization and mapping (SLAM). The iSAM library provides efficient algorithms for batch and incremental optimization, recovering the exact least-squares solution. The library can easily be extended to new problems, and functionality for often encounte
Summer 2024. Brains Minds and Machines Summer Course Spring 2024 Class. Harvard Neuro 140/240. Biological and Artificial Intelligence Fall 2023 Class. Harvard Neuro 130/230. Visual Object Recognition. Congratulations to Will Xiao on his succcessful thesis defense! Click here to read the thesis Congratulations to Yuchen Xiao on her succcessful thesis defense! Click here to read the thesis Congratul
News † 2024/05/16: ACL 2024 Findingsに下記の論文が採択されました Masashi Oshika, Makoto Morishita, Tsutomu Hirao, Ryohei Sasano, Koichi Takeda: Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs Yi Han, Ryohei Sasano, Koichi Takeda: Definition Generation for Automatically Induced Semantic Frame 2024/04/10: 情報処理学会論文誌に下記の論文が採択されました 山田康輔,笹野遼平,武田浩一: 深層距離学習を用いた意味
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CCCC MS XXX p. XX. By kind permission of the Master and Fellows of Corpus Christi College, Cambridge. Global Currents is an international research project using visual language processing and feature modeling to study western and non-western manuscripts through large-scale data analysis. Stanford Global Currents 2.0 has developed from an NEH-funded Project in collaboration with McGill University
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where $V$ is the value of getting a full meal, and $C$ is the cost of getting injured in a competition. Like most EGT games the governing equation in the Dove-Hawk game is the replicator dynamic equation: $$ \frac{\partial x_i}{\partial t} = x_i \left [ f_i(x) - \sum_{j=1}^n x_j f_j(x) \right ] $$ where $x_i$ is the proportional ratio of strategy $i$ in the population and $f_i(x)$ is the fitness s
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