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Dernières nouvelles sur l'apprentissage automatique

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.

  • Computers, Vol. 11, Pages 174: Exploration of the Impact of Cybersecurity Awaren...
    Intelligent software packages have become fast-growing in popularity for large businesses in both developed and developing countries, due to their higher availability in detecting and preventing cybercrime. However, small and medium enterprises (SMEs) are showing prominent gaps in this adoption due to their level of awareness and knowledge towards cyber...
    Source : MDPI by Nisha Rawindaran
  • Open Source SkyPilot Targets Cloud Cost Optimization for ML and Data Science
    A team of researchers at the RISELab at UC Berkeley recently released Skypilot, an open-source framework for running machine learning workloads on the major cloud providers through a unified interface. The project focuses on cost optimization automatically finding the cheapest availability zone, region, and provider for the requested resources. By...
    Source : InfoQ by Renato Losio
  • Brace yourself for smarter robots that don’t fall over (as easily)
    Easy does it there, pal. YouTubeResearchers tipped over their robot over 882,000 times to teach its neural network how to keep from tumbling. The post Brace yourself for smarter robots that don’t fall over (as easily) appeared first on Popular Science....
    Source : Popular Science par Andrew Paul
  • Large language models help decipher clinical notes
    Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine....
    Source : MIT : Recherche by Rachel Gordon | MIT CSAIL
  • MIT researchers use quantum computing to observe entanglement
    Researchers at the Center for Theoretical Physics lead work on testing quantum gravity on a quantum processor....
    Source : MIT : Recherche by Julia C. Keller | School of Science
  • Crystals, Vol. 12, Pages 1740: A Fast, Low-Cost and Simple Method for Predicting...
    Calculations with high accuracy for atomic and inter-atomic properties, such as nuclear magnetic resonance (NMR) spectroscopy and bond dissociation energies (BDEs) are valuable for pharmaceutical molecule structural analysis, drug exploration, and screening. It is important that these calculations should include relativistic effects, which are computationally expensive to treat. Non-relativistic calculations...
    Source : MDPI by Peng Gao
  • Entropy, Vol. 24, Pages 1763: The Diagnosis of Congestive Heart Failure Based on...
    Congestive heart failure (CHF) is a chronic heart condition associated with debilitating symptoms that can lead to mortality. The electrocardiogram (ECG) is a noninvasive and simple diagnostic method that can show detectable changes in CHF. However, manual diagnosis of ECG signals is often erroneous due to the small amplitude and...
    Source : MDPI by Juanjuan Yang
  • Concentrated poverty, ambient air pollution, and child cognitive development | S...
    Early exposure to neurotoxic air pollution partly explains the harmful effects of neighborhood poverty on cognitive development....
    Source : Science - Advances
  • Breaking the scaling limits of analog computing
    New technique could diminish errors that hamper the performance of super-fast analog optical neural networks....
    Source : MIT : Recherche par Adam Zewe | MIT News Office
  • 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....
    Source : MIT : Recherche 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...
    Source : 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...
    Source : InfoQ by Sara Bergman
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