Probably Approximately a Scientific Blog

JANUARY 12, 2021

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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Marktechpost

APRIL 23, 2024

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.

AI Research 105

AI Research AI Researcher Natural Language Processing Computer Vision 105

Topbots

DECEMBER 5, 2023

Top 10 AI Research Papers 2023 1. Sparks of AGI by Microsoft Summary In this research paper, a team from Microsoft Research analyzes an early version of OpenAI’s GPT-4, which was still under active development at the time. Sign up for more AI research updates. Enjoy this article?

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AI Research AI Researcher Natural Language Processing Neural Network 111

Unite.AI

OCTOBER 22, 2024

We use Big O notation to describe this growth, and quadratic complexity O(n²) is a common challenge in many AI tasks. Put simply, if we double the input size, the computational needs can increase fourfold. In practice, sub-quadratic systems are already showing promise in various AI applications.

Neural Network 147

Neural Network Convolutional Neural Networks Deep Learning Natural Language Processing 147

AI Weekly

JULY 13, 2023

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.

Neural Network 178

Neural Network Robotics ChatGPT Computer Vision 178

Marktechpost

DECEMBER 7, 2023

The intersection of computer vision and natural language processing has long grappled with the challenge of generating regional captions for entities within images. Researchers have pursued methods that efficiently address this gap, seeking ways to enable models to understand and describe diverse image elements.

Computer Vision 105

Computer Vision Natural Language Processing Large Language Models AI Research 105

Marktechpost

OCTOBER 18, 2023

The discipline of robotics continues to be more fragmented than others, such as computer vision or natural language processing, where benchmarks and datasets are standardized. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter. We are also on WhatsApp.

Artificial Intelligence 128

Artificial Intelligence Artificial Intelligence Robotics AI Research 128

Marktechpost

NOVEMBER 10, 2023

In image recognition, researchers and developers constantly seek innovative approaches to enhance the accuracy and efficiency of computer vision systems. All credit for this research goes to the researchers of this project. Check out the Paper. If you like our work, you will love our newsletter.

Convolutional Neural Networks 111

Convolutional Neural Networks Computer Vision Natural Language Processing Neural Network 111

Marktechpost

DECEMBER 10, 2023

Natural language processing (NLP) has entered a transformational period with the introduction of Large Language Models (LLMs), like the GPT series, setting new performance standards for various linguistic tasks. Autoregressive pretraining has substantially contributed to computer vision in addition to NLP.

BERT 126

BERT Computer Vision Natural Language Processing NLP 126

IBM Journey to AI blog

OCTOBER 12, 2023

Theory of Mind AI would also be able to understand and contextualize artwork and essays, which today’s generative AI tools are unable to do. Emotion AI is a theory of mind AI currently in development. This allows intelligent machines to identify and classify objects within images and video footage.

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Artificial Intelligence Artificial Intelligence Emotion AI Computer Vision 240

Marktechpost

SEPTEMBER 21, 2024

Artificial intelligence (AI) research has increasingly focused on enhancing the efficiency & scalability of deep learning models. These models have revolutionized natural language processing, computer vision, and data analytics but have significant computational challenges.

Deep Learning 122

Deep Learning Natural Language Processing Computer Vision AI Research 122

Marktechpost

JANUARY 19, 2024

Task-agnostic model pre-training is now the norm in Natural Language Processing, driven by the recent revolution in large language models (LLMs) like ChatGPT. These models showcase proficiency in tackling intricate reasoning tasks, adhering to instructions, and serving as the backbone for widely used AI assistants.

AI Research 124

AI Research AI Researcher Natural Language Processing Large Language Models 124

Marktechpost

SEPTEMBER 4, 2023

With the growing advancements in the field of Artificial Intelligence, its sub-fields, including Natural Language Processing, Natural Language Generation, Computer Vision, etc., Optical Character Recognition (OCR) is a well-established and heavily investigated area of computer vision.

Computer Vision 137

Computer Vision Natural Language Processing Artificial Intelligence Artificial Intelligence 137

Marktechpost

JULY 24, 2023

In many areas of natural language processing, including language interpretation and natural language synthesis, large-scale training of machine learning models utilizing transformer topologies has produced ground-breaking advances.

AI Research 52

AI Research AI Researcher BERT Natural Language Processing 52

Marktechpost

DECEMBER 14, 2023

These models are often employed in various fields, including natural language processing, computer vision, music generation, etc. Researchers at Stanford University, Northeastern University, and Salesforce AI research built UniControl. If you like our work, you will love our newsletter.

Computer Vision 119

Computer Vision Natural Language Processing AI AI 119

AI Weekly

APRIL 11, 2024

Generative AI is igniting a new era of innovation within the back office. No legacy process is safe. Join the AI conversation and transform your advertising strategy with AI weekly sponsorship This RSS feed is published on [link].

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Robotics Artificial Intelligence Artificial Intelligence Data Drift 214

AI Weekly

JANUARY 18, 2024

We need a careful balance of policies to tap its potential imf.org AI Ethics in the Spotlight: Examining Public Concerns in 2024 In the early days of January 2024, there were discussions surrounding Midjourney, a prominent player in the AI image-generation field.

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Robotics Artificial Intelligence Artificial Intelligence Machine Learning 214

Marktechpost

DECEMBER 18, 2023

Large Language Models (LLMs) have successfully utilized the power of Artificial Intelligence (AI) sub-fields, including Natural Language Processing (NLP), Natural Language Generation (NLG), and Computer Vision. All credit for this research goes to the researchers of this project.

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Large Language Models Computer Vision Natural Language Processing Artificial Intelligence 126

AssemblyAI

MARCH 21, 2023

What is the current role of GNNs in the broader AI research landscape? Let’s take a look at some numbers revealing how GNNs have seen a spectacular rise within the research community. We find that the term Graph Neural Network consistently ranked in the top 3 keywords year over year.

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Marktechpost

SEPTEMBER 12, 2023

With the constant advancements in the field of Artificial Intelligence, its subfields, including Natural Language Processing, Natural Language Generation, Natural Language Understanding, and Computer Vision, are getting significantly popular.

Large Language Models 124

Large Language Models Natural Language Processing Computer Vision Artificial Intelligence 124

Marktechpost

JUNE 3, 2024

Deep learning foundation models revolutionize fields like protein structure prediction, drug discovery, computer vision, and natural language processing. Enhancing predictive accuracy, resolution, and adaptability, demonstrating AI’s potential to improve operational weather forecasting and related fields.

Deep Learning 116

Deep Learning Natural Language Processing Computer Vision AI Research 116

Marktechpost

DECEMBER 23, 2023

DNNs have gained immense prominence in various fields, including computer vision, natural language processing, and pattern recognition, due to their ability to handle large volumes of data and extract high-level features, leading to remarkable advancements in machine learning and AI applications.

Neural Network 126

Neural Network Machine Learning Natural Language Processing Computer Vision 126

Marktechpost

DECEMBER 25, 2023

Transformer models are crucial in machine learning for language and vision processing tasks. Transformers, renowned for their effectiveness in sequential data handling, play a pivotal role in natural language processing and computer vision. If you like our work, you will love our newsletter.

Computer Vision 130

Computer Vision Natural Language Processing Machine Learning AI 130

AI Weekly

DECEMBER 14, 2023

businessinsider.com Research 10 GitHub Repositories to Master Machine Learning It covers a wide range of topics such as Quora, blogs, interviews, Kaggle competitions, cheat sheets, deep learning frameworks, natural language processing, computer vision, various machine learning algorithms, and ensembling techniques.

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AI Chatbots Chatbots Robotics Large Language Models 218

Marktechpost

DECEMBER 27, 2023

Large Language Models (LLMs) have recently taken over the Artificial Intelligence (AI) community, all thanks to their marvelous capabilities and performance. All credit for this research goes to the researchers of this project. If you like our work, you will love our newsletter.

Computer Vision 122

Computer Vision Natural Language Processing Large Language Models Artificial Intelligence 122

Marktechpost

SEPTEMBER 17, 2023

Large language models (LLMs) built on transformers, including ChatGPT and GPT-4, have demonstrated amazing natural language processing abilities. The creation of transformer-based NLP models has sparked advancements in designing and using transformer-based models in computer vision and other modalities.

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Large Language Models Natural Language Processing BERT Computer Vision 134

Marktechpost

JULY 16, 2023

This idea is based on “example packing,” a technique used in natural language processing to efficiently train models with inputs of varying lengths by combining several instances into a single sequence. All Credit For This Research Goes To the Researchers on This Project. Check out the Paper.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Natural Language Processing 98

Marktechpost

JANUARY 2, 2024

Transformer-based LLMs have significantly advanced machine learning capabilities, showcasing remarkable proficiency in domains like natural language processing, computer vision, and reinforcement learning. All credit for this research goes to the researchers of this project.

Machine Learning 137

Machine Learning Natural Language Processing Computer Vision LLM 137

AI Weekly

OCTOBER 26, 2023

cryptopolitan.com Applied use cases Alluxio rolls out new filesystem built for deep learning Alluxio Enterprise AI is aimed at data-intensive deep learning applications such as generative AI, computer vision, natural language processing, large language models and high-performance data analytics.

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Neural Network Convolutional Neural Networks Robotics Deep Learning 204

Unite.AI

FEBRUARY 16, 2024

AGI, on the other hand, would have the ability to understand and reason across multiple domains, such as language, logic, creativity, common sense, and emotion. It has been the guiding vision of AI research since the earliest days and remains its most divisive idea. AGI is not a new concept.

Neural Network 195

Neural Network Algorithm Machine Learning Natural Language Processing 195

Marktechpost

DECEMBER 13, 2023

Large Language Models (LLMs), due to their strong generalization and reasoning powers, have significantly uplifted the Artificial Intelligence (AI) community. All credit for this research goes to the researchers of this project. If you like our work, you will love our newsletter.

Large Language Models 131

Large Language Models Natural Language Processing LLM Computer Vision 131

Marktechpost

JULY 1, 2023

Additionally, this integration enables us to immediately use the most recent developments in computer vision and natural language processing, maximizing the advantages associated with both disciplines. LENS gives any off-the-shelf LLM the ability to see without further training or data.

Large Language Models 98

Large Language Models Computer Vision LLM Natural Language Processing 98

Marktechpost

JUNE 7, 2023

The transformer models like BERT and T5 have recently got popular due to their excellent properties and have utilized the idea of self-supervision in Natural Language Processing tasks. These models are first trained with massive amounts of unlabeled data, then fine-tuned with labeled data samples.

Natural Language Processing 98

Natural Language Processing BERT Computer Vision Artificial Intelligence 98

Marktechpost

NOVEMBER 10, 2023

The study’s findings reveal the potential of GPT-4V for enhancing natural language processing and computer vision applications. Based on the latest research, the current version of GPT-4V is not suitable for practical medical diagnostics due to its unreliable and suboptimal responses.

Computer Vision 114

Computer Vision Natural Language Processing ChatGPT AI 114

Marktechpost

DECEMBER 13, 2023

Large Vision-Language Models (LVLMs) combine computer vision and natural language processing to generate text descriptions of visual content. All credit for this research goes to the researchers of this project. If you like our work, you will love our newsletter.

Computer Vision 98

Computer Vision Natural Language Processing AI AI 98

Marktechpost

DECEMBER 16, 2023

A custom-trained natural language processing (NLP) algorithm, X-Raydar-NLP, labeled the chest X-rays using a taxonomy of 37 findings extracted from the reports. X-Raydar, the computer vision algorithm, used InceptionV3 for feature extraction and achieved optimal results using a custom loss function and class weighting factors.

Neural Network 96

Neural Network Auto-classification NLP Natural Language Processing 96

Marktechpost

DECEMBER 24, 2023

Self-attention greatly enhances the performance of transformers in real-world applications, including computer vision and Natural Language Processing (NLP). In a recent study , researchers have provided a mathematical model that can be used to perceive Transformers as particle systems in interaction.

Machine Learning 126

Machine Learning Neural Network Natural Language Processing Computer Vision 126