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New MIT Research Suggests That Training An AI Model With Mathematically...

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The prevalence of superhuman artificial intelligence (AI) in competitive games such as chess, Atari, StarCraft II, DotA, and poker is growing. Recent advances in deep...

CMU Researchers Propose Deep Attentive VAE: The First Attention-Driven Framework For...

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This Article is written as a summay by Marktechpost Staff based on the Research Paper 'DEEP ATTENTIVE VARIATIONAL INFERENCE'. All Credit For This Research...

In The Latest AI Research, CMU And Adobe Researchers Propose An...

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This Article Is Based On The Research Paper 'Ensembling Off-the-shelf Models for GAN Training'. All Credit For This Research Goes To The Researchers of...

In A Latest ML Research, CMU Researchers Explains The Connection Between...

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This Article Is Based On The Research Paper 'An Experimental Design Perspective on Model-Based Reinforcement Learning'. All Credit For This Research Goes To The...

Meta AI and CMU Team Releases New Dataset For Green Hydrogen...

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This Article Is Based On The Meta AI's article 'Accelerating renewable energy with new data set for green hydrogen fuel'. All Credit For This...

CMU Researchers Introduce a Method for Estimating the Generalization Error of...

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Take a look at the following fascinating observation. On two identically generated datasets S1 and S2 of the same size, train two networks of...

Researchers From CMU and LinkedIn Open-SourcesĀ The Implementation of PASS (Performance-Adaptive Sampling...

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Understanding the relationships between entity sets maintained in a database is critical. In this context, an entity is an object or a data component. Entity...

CMU Researchers Open Source ‘PolyCoder’: A Machine Learning-Based Code Generator With...

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Language models (LMs) are commonly used in natural language literature to assign probabilities to sequences of tokens. LMs have recently demonstrated outstanding performance in...

Researchers From Microsoft and CMU Introduce ‘COMPASS’: A General-Purpose Large-Scale Pretraining...

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Humans have the essential cognitive capacity to comprehend the world via multimodal sensory inputs and use this ability to perform a wide range of...

A New Study from CMU and Bosch Center for AI Demonstrated...

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After leveraging Convolutional Neural Network (CNN) for many years, since the advent of Transformers in Natural Language Processing (NLP), the computer vision community has...