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Últimas noticias sobre aprendizaje automático

Below are excerpts of the latest Machine Learning news found online, copyrighted and direct link to their respective authors. Found, selected, and sorted. Any problem or additional source you would like to include here, please contact us.

  • Breaking the scaling limits of analog computing
    New technique could diminish errors that hamper the performance of super-fast analog optical neural networks....
    Fuente: MIT: Investigación por Adam Zewe | Oficina de Noticias del MIT
  • The task of magnetic classification suddenly looks easier
    MIT undergraduate researchers Helena Merker, Harry Heiberger, and Linh Nguyen, and PhD student Tongtong Liu, exploit machine-learning techniques to determine the magnetic structure of materials....
    Fuente: MIT: Investigación by Steve Nadis | Department of Nuclear Science and Engineering
  • How to Predict Customer Churn Using Machine Learning, Data Science, and Survival...
    Customer Churn and Data Science Customer churn is a major concern for any business. It is the process of customers leaving their service provider for a competitor’s service. This can be due to many different reasons, including financial constraints, poor customer experience, or just general dissatisfaction with the company. Predicting...
    Fuente: DZone by Stylianos Kampakis
  • Presentation: The Next Decade of Software is about Climate - What is the Role of...
    Sara Bergman introduces the field of green software engineering, showing options to estimate the carbon footprint and discussing ideas on how to make Machine Learning greener. By Sara Bergman...
    Fuente: InfoQ by Sara Bergman
  • Towards achieving lightweight intrusion detection systems in Internet of Things,...
    While the benefits of IoT cannot be overstated, its computational constraints make it challenging to deploy security methodologies that have been deployed in traditional computing systems. The benefits and computational constraints have made IoT systems attractive to cyber-attacks. One way to mitigate these attacks is to detect them. In this...
    Fuente: F1000 Research by Promise Ricardo Agbedanu
  • We could run out of data to train AI language programs 
    Large language models are one of the hottest areas of AI research right now, with companies racing to release programs like GPT-3 that can write impressively coherent articles and even computer code. But there’s a problem looming on the horizon, according to a team of AI forecasters: we might run...
    Fuente: MIT Technology Review by Tammy Xu
  • Teresa Gao named 2024 Mitchell Scholar
    The MIT senior will pursue postgraduate studies in computer science in Ireland....
    Fuente: MIT: Investigación by Julia Mongo | Office of Distinguished Fellowships
  • Efficient catalyst screening using graph neural networks to predict strain effec...
    Structure-aware machine learning captures strain impact on molecule-surface interactions for rapid catalyst evaluation....
    Fuente: Ciencia - Avances
  • Generative and reproducible benchmarks or comprehensive evaluation machine learn...
    Introducing DIGEN benchmark—a collection of synthetic datasets for classification of binary outcomes....
    Fuente: Ciencia - Avances
  • Meta’s game-playing AI can make and break alliances like a human
    Meta has created an AI that can beat humans at an online version of Diplomacy, a popular strategy game in which seven players compete for control of Europe by moving pieces around on a map. Unlike other board games that AI has mastered, such as chess and Go, Diplomacy requires...
    Fuente: MIT Technology Review by Will Douglas Heaven
  • A simpler path to better computer vision
    New research reveals a scalable technique that uses synthetic data to improve the accuracy of AI models that recognize images....
    Fuente: MIT: Investigación por Adam Zewe | Oficina de Noticias del MIT
  • Machine Learning Tools Automatically Classify 1,000 Supernovae
    Astronomers at Caltech have used a machine learning algorithm to classify 1,000 supernovae completely autonomously. The algorithm was applied to data captured by the Zwicky Transient Facility, or ZTF, a sky survey instrument based at Caltech's Palomar Observatory."We needed a helping hand, and we knew that once we trained our...
    Fuente: Caltech por Whitney Clavin
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