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A Comprehensive Guide on i-Transformer

Analytics Vidhya

Introduction Transformers have revolutionized various domains of machine learning, notably in natural language processing (NLP) and computer vision. Their ability to capture long-range dependencies and handle sequential data effectively has made them a staple in every AI researcher and practitioner’s toolbox.

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Rethinking Reproducibility As the New Frontier in AI Research

Unite.AI

In particular, the instances of irreproducible findings, such as in a review of 62 studies diagnosing COVID-19 with AI , emphasize the necessity to reevaluate practices and highlight the significance of transparency. Multiple factors contribute to the reproducibility crisis in AI research.

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A New AI Research Proposes VanillaNet: A Novel Neural Network Architecture Emphasizing the Elegance and Simplicity of Design while Retaining Remarkable Performance in Computer Vision Tasks

Marktechpost

These networks may carry out a range of human-like activities, including face recognition, speech recognition, object identification, natural language processing, and content synthesis, which include several layers and a lot of neurons or transformer blocks.

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Can Computer Vision Systems Infer Your Muscle Activity from Video? Meet Muscles in Action (MIA): A New Dataset to Learn to Incorporate Muscle Activity into Human Motion Representations

Marktechpost

Be it the human-imitating Large Language Model like GPT 3.5 based on Natural Language Processing and Natural Language Understanding or the text-to-image model called DALL-E based on Computer vision, AI is paving its way toward success.

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Nota AI Researchers Introduce LD-Pruner: A Novel Performance-Preserving Structured Pruning Method for Compressing Latent Diffusion Models LDMs

Marktechpost

Generative models have emerged as transformative tools across various domains, including computer vision and natural language processing, by learning data distributions and generating samples from them. Latent Diffusion Models (LDMs) stand out for their rapid generation capabilities and reduced computational cost.

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Commonsense Reasoning for Natural Language Processing

Probably Approximately a Scientific Blog

Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right). Yet, endowing machines with such human-like commonsense reasoning capabilities has remained an elusive goal of AI research for decades.

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AI News Weekly - Issue #341: Elon Musk unveils new AI company set to rival ChatGPT - Jul 13th 2023

AI Weekly

theguardian.com Sarah Silverman sues OpenAI and Meta claiming AI training infringed copyright The US comedian and author Sarah Silverman is suing the ChatGPT developer OpenAI and Mark Zuckerberg’s Meta for copyright infringement over claims that their artificial intelligence models were trained on her work without permission.