Marktechpost

JULY 12, 2023

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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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

JULY 23, 2023

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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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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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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Pickl AI

DECEMBER 26, 2024

Summary: Amazon’s Ultracluster is a transformative AI supercomputer, driving advancements in Machine Learning, NLP, and robotics. Its high-performance architecture accelerates AI research, benefiting healthcare, finance, and entertainment industries.

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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 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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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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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.

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TheSequence

MARCH 25, 2025

One significant hurdle is the complexity of integrating retrieval systems with generative models, which requires specialized knowledge in both natural language processing and information retrieval. During the last few weeks, we have covered some of the top RAG techniques in generative AI. Here is a summary: 1.

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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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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.

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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.

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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

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.

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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.

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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.

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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.

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Artificial Intelligence Artificial Intelligence Robotics AI Researcher 95

Flipboard

MAY 10, 2023

Launched nearly a decade ago by late Microsoft co-founder Paul Allen, the Seattle-based institute is backed by $100 million in annual funding and employs more than 200 AI researchers, engineers, professors, and staff. Researchers help startup founders at the incubator test ideas and develop and train AI models.

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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.

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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.

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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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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.

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Towards AI

FEBRUARY 19, 2023

For researchers and practitioners in the field, staying current and connected is vital, and attending top AI conferences in 2023 can offer unique opportunities for collaboration, inspiration, and professional growth. Don’t miss out on the chance to be a part of the forefront of AI research and development.

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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.

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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 122

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.

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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.

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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.

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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.

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Deep Learning Natural Language Processing Computer Vision AI Researcher 117

Marktechpost

NOVEMBER 12, 2023

In deep learning, Transformer neural networks have garnered significant attention for their effectiveness in various domains, especially in natural language processing and emerging applications like computer vision, robotics, and autonomous driving. If you like our work, you will love our newsletter.

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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.

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Deep Learning Natural Language Processing Computer Vision AI Researcher 111

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.

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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

Unite.AI

MARCH 28, 2025

Key features: No-code AI agent builder: Intuitive visual workflow editor to create agents without programming. Multiple ready-made agent templates: (by industry/function) e.g. AI Sales, AI Marketing, AI Research assistants. plus the ability to record UI actions for legacy systems.

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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.

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