Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Prediction Intervals01:03

Prediction Intervals

2.2K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
2.2K
Precipitation Processes01:12

Precipitation Processes

421
The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
421
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

106
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
106
What is Weather?01:07

What is Weather?

18.2K
Overview
18.2K
Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

1.7K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
1.7K
Random Error01:04

Random Error

821
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
821

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Contextualizing ancient texts with generative neural networks.

Nature·2025
Same author

End-to-end data-driven weather prediction.

Nature·2025
Same author

Efficacy of Antibiotic Therapy Alone Versus Antibiotics With Percutaneous Drainage in Periappendiceal Abscess: A Systematic Review and Meta-Analysis.

Cureus·2024
Same author

Advancements in Cholelithiasis Diagnosis: A Systematic Review of Machine Learning Applications in Imaging Analysis.

Cureus·2024
Same author

Neural general circulation models for weather and climate.

Nature·2024
Same author

STELA: a community-centred approach to norm elicitation for AI alignment.

Scientific reports·2024
Same journal

Retraction Note: NSD2 targeting reverses plasticity and drug resistance in prostate cancer.

Nature·2026
Same journal

Enhanced B cell priming induces broadly neutralizing HIV-1 apex antibodies.

Nature·2026
Same journal

Vaccination elicits HIV broadly neutralizing antibodies in primates.

Nature·2026
Same journal

Child online safety needs more than social-media bans.

Nature·2026
Same journal

Ebola preparedness must start with ecosystems and before humans show symptoms.

Nature·2026
Same journal

AI tools can speed up thinking, but evidence still comes from the lab bench.

Nature·2026
関連記事をすべて見る

関連する実験動画

Updated: Jun 5, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.2K

機械学習による確率天気予報

Ilan Price1, Alvaro Sanchez-Gonzalez2, Ferran Alet2

  • 1Google DeepMind, London, UK. pricei@google.com.

Nature
|December 5, 2024
PubMed
まとめ
この要約は機械生成です。

GenCastは新しい機械学習の天気予報モデルで 概率的な予測を伝統的な方法よりも速く正確に生成します この進歩により 極端な天候の予測と 気候に依存する重要なアプリケーションの 意思決定が改善されます

さらに関連する動画

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.7K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K

関連する実験動画

Last Updated: Jun 5, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.2K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.7K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K

科学分野:

  • 大気科学
  • 人工知能
  • データサイエンス

背景:

  • 天気予報は伝統的に数値天気予報 (NWP) に依存し,予測の不確実性とリスクを表現するのに苦労します.
  • 最近の機械学習天気予報 (MLWP) モデルは有望ですが,NWPのアンサンブル予報の正確さはしばしば欠けている.

研究 の 目的:

  • 既存の最先端の天気予報を上回るように設計された新しい確率的なML天気モデルであるGenCastを導入します.
  • 中期的な天気予報の精度と効率を高め,特に極端な天気予報を行う.

主な方法:

  • GenCastは,何十年もの大気再分析データで訓練された MLの天気予報モデルです.
  • 高解像度で80以上の変数について ストキャスティックで15日間のグローバル予測を大量に生成します
  • このモデルは,高速で確率的な天気予報のための高度なML技術を活用することで,これを達成しています.

主要な成果:

  • GenCastは,評価対象の97.2%で,欧州中期気象予報センター (ENS) に比べて優れたスキルを実証しています.
  • モデルでは,極端な天候現象,熱帯サイクロンの軌跡,風力発電の予測能力が向上しています.
  • GenCastは 15日間の世界の予測を たった8分で作ります 従来の方法よりもかなり速いです

結論:

  • GenCastは運行上の天気予報の重要な進歩であり,より高い精度,速度,確率の洞察を提供します.
  • このMLベースのアプローチは,天候に依存する分野において,より情報に基づいた,より効率的な意思決定を容易にする.
  • この開発は,次世代のAI駆動の天気予報システムへの道を開きます.