AI News– category –
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School of Engineering welcomes new faculty
The School of Engineering welcomes 15 new faculty members across six of its academic departments. This new cohort of faculty members, who have either recently started their roles at MIT or will start within the next year, conduct researc... -
2024 MAD Design Fellows announced
Since its launch in 2022, the MIT Morningside Academy for Design (MAD) has supported MIT graduate students with a fellowship, allowing recipients to pursue design research and projects while creating community. Pulling from different cor... -
今更ながら、アニメ『パトレーバー』が先進的だったということをまとめた
GPT-4oで生成してた内容です。（アイキャッチ画像もAIで生成したものです） 【1989年に上映されたアニメ映画「パトレイバー」の基本情報】 タイトル: 機動警察パトレイバー the Movie 公開年: 1989年 監督: 押井守 脚本: 伊藤和典 原作: ヘッドギア（ゆう... -
Scientists use generative AI to answer complex questions in physics
When water freezes, it transitions from a liquid phase to a solid phase, resulting in a drastic change in properties like density and volume. Phase transitions in water are so common most of us probably don’t even think about them, but p... -
Using ideas from game theory to improve the reliability of language models
Imagine you and a friend are playing a game where your goal is to communicate secret messages to each other using only cryptic sentences. Your friend's job is to guess the secret message behind your sentences. Sometimes, you give clues d... -
A better way to control shape-shifting soft robots
Imagine a slime-like robot that can seamlessly change its shape to squeeze through narrow spaces, which could be deployed inside the human body to remove an unwanted item. While such a robot does not yet exist outside a laboratory, resea... -
Generative AI to quantify uncertainty in weather forecasting
Posted by Lizao (Larry) Li, Software Engineer, and Rob Carver, Research Scientist, Google Research Accurate weather forecasts can have a direct impact on people’s lives, from helping make routine decisions, like what to pack for a day’s ... -
AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
Posted by Urs Köster, Software Engineer, Google Research Time series problems are ubiquitous, from forecasting weather and traffic patterns to understanding economic trends. Bayesian approaches start with an assumption about the data's p... -
Computer-aided diagnosis for lung cancer screening
Posted by Atilla Kiraly, Software Engineer, and Rory Pilgrim, Product Manager, Google Research Lung cancer is the leading cause of cancer-related deaths globally with 1.8 million deaths reported in 2020. Late diagnosis dramatically reduc... -
Using AI to expand global access to reliable flood forecasts
Posted by Yossi Matias, VP Engineering & Research, and Grey Nearing, Research Scientist, Google Research Floods are the most common natural disaster, and are responsible for roughly $50 billion in annual financial damages worldwide. ...
