​ Researchers from MIT and Brown University have conducted a groundbreaking study on the dynamics of training deep classifiers, a widespread neural network used for tasks like image classification, speech recognition, and natural language processing. The study, published in the journal Research, is the first… Read More »MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Stack in Python is a one-dimensional data structure that is also called a Last in First out data structure (LIFO). In a Stack data structure, If an element is inserted at last, it will come out first. In this article, we will discuss three… Read More »Stack in Python Explained with Examples Gottumukkala Sravan Kumar Spark By {Examples}

​ In this article, we will discuss how to implement the Doubly Linked list using dstructure module in python. Double Linked list is a one-dimensional data structure that contains nodes. Each node has one data/element and two links. The first link points to the previous… Read More »Python Doubly Linked List with Examples Gottumukkala Sravan Kumar Spark By {Examples}

​ Foundation models have taken the Artificial Intelligence community by storm. Their recent impact has helped contribute to a wide range of industries such as healthcare, finance, education, entertainment, etc. The popular large language models such as GPT-3, DALLE 2, and BERT are the ones… Read More »The Scope Of Foundation Models In Decision Making: Their Challenges, Opportunities, And Potentials Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ In deep learning, large models with millions of parameters have shown remarkable accuracy in various applications such as image recognition, natural language processing, and speech recognition. However, training and deploying these models can be computationally expensive and require significant memory resources. This has led… Read More »A New AI Research Proposes A Novel Approach To Compact And Optimal Deep Learning By Decoupling Model DoF And Model Parameters Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​ Several recent vision-language models have demonstrated remarkable multi-modal generation abilities. But typically, they call for training enormous models on enormous datasets. Researchers introduce Prismer, a data- and parameter-efficient vision-language model that uses an ensemble of domain experts, as a scalable alternative. By inheriting most… Read More »Meet Prismer: An Open Source Vision-Language Model with An Ensemble of Experts Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ As a result of recent technological advances in machine learning (ML), ML models are now being used in a variety of fields to improve performance and eliminate the need for human labor. These disciplines can be as simple as assisting authors and poets in… Read More »Understanding Explainable AI And Interpretable AI Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​ For decades, the tasks involving predicting a molecule’s chemical, macroscopic, or biological properties based on its chemical structure have been a key scientific research problem.  Many machine learning algorithms have been used in discovering correlations between the chemical structure and characteristics of such molecules… Read More »Meet CLAMP: An New AI Tool For Molecular Activity Prediction That Can Adapt To New Experiments At Inference Time Khushboo Gupta Artificial Intelligence Category – MarkTechPost