Marktechpost

DECEMBER 5, 2023

The Hierarchically Gated Recurrent Neural Network (HGRN) technique developed by researchers from the Shanghai Artificial Intelligence Laboratory and MIT CSAI addresses the challenge of enhancing sequence modeling by incorporating forget gates in linear RNNs. All credit for this research goes to the researchers of this project.

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Marktechpost

JULY 2, 2023

Thus, there is a growing demand for explainability methods to interpret decisions made by modern machine learning models, particularly neural networks. CRAFT addresses this limitation by harnessing modern machine learning techniques to unravel the complex and multi-dimensional visual representations learned by neural networks.

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Marktechpost

OCTOBER 8, 2023

By utilizing finely developed neural network architectures, we have models that are distinguished by extraordinary accuracy within their respective sectors. Despite their accurate performance, we must still fully understand how these neural networks function. Join our AI Channel on Whatsapp.

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Marktechpost

JULY 6, 2023

This is where Interpretable (IAI) and Explainable (XAI) Artificial Intelligence techniques come into play, and the need to understand their differences become more apparent. On the other hand, explainable AI models are very complicated deep learning models that are too complex for humans to understand without the aid of additional methods.

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Marktechpost

JANUARY 14, 2024

These intricate systems use neural networks to interpret and respond to linguistic inputs. Its flexibility allows for a wide scope of adaptations to LLMs, such as more effective inspection of early layers and the use of more capable models to explain representations of smaller models.

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Unite.AI

FEBRUARY 16, 2024

It has been the guiding vision of AI research since the earliest days and remains its most divisive idea. Some AI enthusiasts believe that AGI is inevitable and imminent and will lead to a new technological and social progress era. Current AI, excelling in specific domains, must meet AGI’s expansive potential.

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Marktechpost

DECEMBER 15, 2023

This method involves the application of a generative neural network, specifically a Generative Adversarial Network (GAN), a form of AI. According to researchers, this is the reason for developing GAN, an AI-based generative neural network trained using high-resolution radar precipitation fields.

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AI Weekly

JANUARY 18, 2024

Powered by superai.com In the News Bill Gates explains how AI will change our lives in 5 years It’s no secret that Bill Gates is bullish on artificial intelligence, but he’s now predicting that the technology will be transformative for everyone within the next five years.

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Marktechpost

SEPTEMBER 1, 2023

Scaling neural network-based machine learning models has led to recent advances, resulting in models that can generate natural language nearly indistinguishable from that produced by humans. The researchers clarify key terms and present a comprehensive bibliography of academic and real-world examples for each broad area.

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AI Weekly

MAY 4, 2023

Explore upcoming AI/ML courses from top global universities and join 250,000+ professionals taking their next step. com Applied use cases How AI is accelerating innovation in healthcare Healthcare — one of the largest sectors of the U.S. biotechnology sector at Goldman Sachs Research. Learn more] sjv.io gadgets360.com

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AI Weekly

SEPTEMBER 14, 2023

eweek.com Robots that learn as they fail could unlock a new era of AI Asked to explain his work, Lerrel Pinto, 31, likes to shoot back another question: When did you last see a cool robot in your home? The answer typically depends on whether the person asking owns a robot vacuum cleaner: yesterday or never.

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NYU Center for Data Science

APRIL 4, 2023

Professors Vasant Dhar and Sam Bowman discuss the control problem in Episode 58 of the Brave New World Podcast CDS Director of Industry Relations Vasant Dhar and CDS Professor Sam Bowman The question at the center of Sam Bowman ’s career has been: what can neural networks do with language? Bowman also breaks down how LLMs work.

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Unite.AI

JULY 25, 2023

For instance, many blogs today feature AI-generated text powered by LLMs (Large Language Modules) like ChatGPT or GPT-4. Many data sources contain AI-generated images created using DALL-E2 or Midjourney. Moreover, AI researchers are using synthetic data generated using Generative AI in their model training pipelines.

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Marktechpost

JUNE 16, 2023

Artificial intelligence vocabulary frequently uses comparisons to human traits, such as neural networks or the phrase artificial intelligence itself. For instance, ChatGPT “understands” or “explains.” Check Out The Paper and GitHub link.

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Pickl AI

JULY 14, 2023

Significantly, McCarthy coined the term “Artificial Intelligence” and organized the Dartmouth Conference in 1956, which is considered the birth of AI as a field. Knowledge-Based Systems and Expert Systems (1960s-1970s): During this period, AI researchers focused on developing rule-based systems and expert systems.

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Towards AI

JANUARY 2, 2024

Major AI breakthroughs over the past two years have been driven, in particular, by transformer-based large language models, diffusion models, and, more recently, graph neural networks. Five 5-minute reads/videos to keep you learning AI in 2023, in 13 Minutes A lot happened in 2023 in big tech and the AI research community.

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Heartbeat

DECEMBER 20, 2023

This blog aims to equip you with a thorough understanding of these powerful neural network architectures. Whether you’re a seasoned AI researcher or a budding enthusiast in machine learning, the insights offered here will deepen your understanding and guide you in leveraging the full potential of CNNs in various applications.

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Towards AI

NOVEMBER 21, 2023

Perhaps strangest in all of this is the silence from the OpenAI board and the failure to explain their actions, which leaves their motives very unclear. With these resources, Kyutai plans to conduct comprehensive research led by PhD students, postdocs, and researchers.

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AI Impacts

JULY 20, 2023

May) Current approaches to building general-purpose AI systems tend to produce systems with both beneficial and harmful capabilities. Further progress in AI development could lead to capabilities that pose extreme risks, such as offensive cyber capabilities or strong manipulation skills. This research aims directly at this question.

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IBM Journey to AI blog

APRIL 18, 2024

However, if AGI development uses similar building blocks as narrow AI, some existing tools and technologies will likely be crucial for adoption. The exact nature of general intelligence in AGI remains a topic of debate among AI researchers.

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Pickl AI

NOVEMBER 3, 2023

Two Minute Papers Category: AI Research Papers Explained Subscribers: 1.5 million Link to the Channel : [link] Stay abreast of the latest AI research and developments with Two Minute Papers. Through his YouTube channel, he regularly updates new developments in the domain of AI and Machine Learning.

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Marktechpost

DECEMBER 11, 2023

These models use systems of differential equations that explain thermodynamics and fluid flow and may be integrated across time to produce projections for the future. Using historical data, like the ERA5 reanalysis dataset, deep neural networks are trained to forecast future weather conditions.

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Viso.ai

DECEMBER 18, 2023

Generation With Neural Network Techniques Neural Networks are the most advanced techniques of automated data generation. Neural networks can also synthesize unstructured data like images and video. This generative AI technique involves two competing neural networks: a generator and a discriminator.

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Marktechpost

DECEMBER 3, 2023

There is a steadily growing list of intriguing properties of neural network (NN) optimization that are not readily explained by classical tools from optimization. Likewise, the research team has varying degrees of understanding of the mechanical causes for each. If you like our work, you will love our newsletter.

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Neural Network Explainability Algorithm AI Researcher 122

NVIDIA

NOVEMBER 15, 2023

Retrieval-augmented generation is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources. Under the hood, LLMs are neural networks, typically measured by how many parameters they contain. In other words, it fills a gap in how LLMs work.

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Topbots

JANUARY 11, 2023

.” — Sir Arthur Eddington In Part 1 of this series, I said “I will refrain from saying that Generative Artificial Intelligence (AI) is the basis for a third school of epistemology”, but recently, I read about the challenges in Generative AI from the perspective of metaphysics. Professor Hannah Fry explains this point well.

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Topbots

MAY 17, 2023

The Most Influential Research Papers on Image Generation with Diffusion Models 1. Denoising Diffusion Probabilistic Models by UC Berkeley Summary UC Berkeley researchers introduced Denoising Diffusion Probabilistic Models (DDPMs), a new class of generative models that learn to convert random noise into realistic images.

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Flipboard

FEBRUARY 6, 2023

In high school, he and his friends wired up the school’s computers for machine learning algorithm training, an experience that planted the seeds for Steinberger’s computer science degree and his job at Meta as an AI researcher.

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Towards AI

FEBRUARY 14, 2023

Generative AI involves the use of neural networks to create new content such as images, videos, or text. OpenAI, on the other hand, is an AI research laboratory that was founded in 2015. This includes ensuring that AI is used in ways that benefit society, and that it is designed to be transparent and explainable.

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Marktechpost

DECEMBER 19, 2023

In tackling the intricate task of predicting brain age, researchers introduce a groundbreaking hybrid deep learning model that integrates Convolutional Neural Networks (CNN) and Multilayer Perceptron (MLP) architectures. Importantly, the model’s performance includes R-square results, indicating a robust fit to the data.

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Dlabs.ai

MARCH 17, 2021

He also runs his own YouTube channel , where he explains basic concepts of AI, shows how to use them, and talks through technological trends for the coming years. Fei-Fei Li Twitter The next person on the list is one of the most important women in AI, Dr Fei-Fei Li. But you can find out more in his review for Lex Fridman.

Deep Learning 92

Deep Learning Artificial Intelligence Artificial Intelligence Neural Network 92

Viso.ai

MAY 7, 2024

However, GoogLeNet demonstrated by using the inception module that depth and width in a neural network could be increased without exploding computations. GooLeNet – source Historical Context The concept of Convolutional Neural Networks ( CNNs ) isn’t new. We will investigate the inception module in depth.

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Unite.AI

NOVEMBER 25, 2023

By integrating these constraints, the AI not only mirrors aspects of human intelligence but also unravels the intricate balance between resource expenditure and information processing efficiency. These limitations are not hindrances but are instrumental in shaping its structure and function.

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Topbots

FEBRUARY 1, 2023

As Bryan Arthur predicts, the tools appear to solve the problems of the times and machine learning, neural networks and genetic algorithms are all examples of the tools required to produce these combinatorial solutions. We even have graph neural networks to better understand biological and social connectivity.

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Heartbeat

FEBRUARY 27, 2023

DRL agents may now be trained on high-dimensional observations like images and videos thanks to the usage of deep neural networks as function approximators. A significant advancement in DRL has been the introduction of new continuous action space handling algorithms like DDPG and TD3. We pay our contributors, and we don’t sell ads.

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Marktechpost

JULY 4, 2023

Unigrams, N-grams, exponential, and neural networks are valid forms for the Language Model. ” Even for seasoned programmers, the syntax of shell commands might need to be explained. Don’t forget to join our Reddit page and discord channel , where we share the latest AI research news, cool AI projects, and more.

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Large Language Models BERT Natural Language Processing Categorization 97

Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

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