Marktechpost

JUNE 22, 2024

Neural networks, despite their theoretical capability to fit training sets with as many samples as they have parameters, often fall short in practice due to limitations in training procedures. Key technical aspects include the use of various neural network architectures (MLPs, CNNs, ViTs) and optimizers (SGD, Adam, AdamW, Shampoo).

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Neural Network AI Researcher AI Research Algorithm 132

AI Weekly

OCTOBER 10, 2024

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co reuters.com Sponsor Personalize your newsletter about AI Choose only the topics you care about, get the latest insights vetted from the top experts online! Welcome Interested in sponsorship opportunities? politico.eu

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AI Research AI Researcher Robotics Artificial Intelligence 231

Unite.AI

OCTOBER 18, 2024

The 2024 Nobel Prizes have taken many by surprise, as AI researchers are among the distinguished recipients in both Physics and Chemistry. Hopfield received the Nobel Prize in Physics for their foundational work on neural networks. Geoffrey Hinton and John J.

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AI Research AI Researcher Neural Network AI 173

Unite.AI

JUNE 15, 2024

In an impressive collaboration, researchers at Harvard University have joined forces with Google DeepMind scientists to create an artificial brain for a virtual rat. Published in Nature , this innovative breakthrough opens new doors in studying how brains control complex movement using advanced AI simulation techniques.

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Marktechpost

JANUARY 2, 2024

Without this framework, comprehending the model’s structure becomes cumbersome for AI researchers. This tool functions as a viewer specifically designed for neural networks, supporting frameworks like TensorFlow Lite, ONNX, Caffe, Keras, etc.

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Marktechpost

FEBRUARY 4, 2024

Meta-learning, a burgeoning field in AI research, has made significant strides in training neural networks to adapt swiftly to new tasks with minimal data. This technique centers on exposing neural networks to diverse tasks, thereby cultivating versatile representations crucial for general problem-solving.

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Marktechpost

OCTOBER 16, 2023

In a recent paper, “Towards Monosemanticity: Decomposing Language Models With Dictionary Learning,” researchers have addressed the challenge of understanding complex neural networks, specifically language models, which are increasingly being used in various applications. Join our AI Channel on Whatsapp.

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Marktechpost

DECEMBER 21, 2023

A team of researchers from the University of Massachusetts Lowell, Eleuther AI, and Amazon developed a method known as ReLoRA, which uses low-rank updates to train high-rank networks. ReLoRA accomplishes a high-rank update, delivering a performance akin to conventional neural network training. parameters.

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Marktechpost

DECEMBER 23, 2023

Deep Neural Networks (DNNs) represent a powerful subset of artificial neural networks (ANNs) designed to model complex patterns and correlations within data. These sophisticated networks consist of multiple layers of interconnected nodes, enabling them to learn intricate hierarchical representations.

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Unite.AI

NOVEMBER 25, 2023

In a groundbreaking study , Cambridge scientists have taken a novel approach to artificial intelligence, demonstrating how physical constraints can profoundly influence the development of an AI system. Future of AI Design This groundbreaking research has significant implications for the future design of AI systems.

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Marktechpost

OCTOBER 22, 2023

In the pursuit of replicating the complex workings of the human sensory systems, researchers in neuroscience and artificial intelligence face a persistent challenge: the disparity in invariances between computational models and human perception. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter.

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Neural Network Artificial Intelligence Artificial Intelligence AI 142

Marktechpost

SEPTEMBER 3, 2023

Credit assignment in neural networks for correcting global output mistakes has been determined using many synaptic plasticity rules in natural neural networks. Methods of biological neuromodulation have inspired several plasticity algorithms in models of neural networks.

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Towards AI

NOVEMBER 11, 2024

Last Updated on November 11, 2024 by Editorial Team Author(s): Vitaly Kukharenko Originally published on Towards AI. AI hallucinations are a strange and sometimes worrying phenomenon. They happen when an AI, like ChatGPT, generates responses that sound real but are actually wrong or misleading. Image by Freepik Premium.

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Neural Network Large Language Models Explainability Generative AI 119

Marktechpost

NOVEMBER 7, 2023

Neural networks have become indispensable tools in various fields, demonstrating exceptional capabilities in image recognition, natural language processing, and predictive analytics. The sum of these vectors is then passed to the next layer, creating a sparse and discrete bottleneck within the network.

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Neural Network Natural Language Processing AI AI 119

Marktechpost

NOVEMBER 25, 2023

Addressing this, Jason Eshraghian from UC Santa Cruz developed snnTorch, an open-source Python library implementing spiking neural networks, drawing inspiration from the brain’s remarkable efficiency in processing data. Traditional neural networks lack the elegance of the brain’s processing mechanisms.

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Marktechpost

DECEMBER 30, 2023

The remarkable potentials of Artificial Intelligence (AI) and Deep Learning have paved the way for a variety of fields ranging from computer vision and language modeling to healthcare, biology, and whatnot. Operator learning includes creating an optimization problem in order to find the ideal neural network parameters.

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Unite.AI

MAY 6, 2024

Almost a year ago, Mustafa Suleyman, co-founder of DeepMind, predicted that the era of generative AI would soon give way to something more interactive: systems capable of performing tasks by interacting with software applications and human resources. It also discusses the potential uses of LAMs and the challenges they face.

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Marktechpost

OCTOBER 8, 2023

Yes, the field of study is called Neural networks. Researchers at the University of Copenhagen present a graph neural network type of encoding in which the growth of a policy network is controlled by another network running in each neuron. They call it a Neural Developmental Program (NDP).

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Marktechpost

DECEMBER 26, 2023

Conventional methods in this field have heavily relied on deep neural networks (DNNs) due to their exceptional ability to model complex patterns. Reduction of model complexity through neural network sparsification. Gradual decrease of nonlinearity in neural models, optimizing them for efficient use in automatic control.

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Marktechpost

MARCH 14, 2024

In order to address this, a team of researchers has focussed on users’ current musical and podcast interests and and has presented a new recommendation engine known as 2T-HGNN. In this architecture, a Two Tower (2T) model and a Heterogeneous Graph Neural Network (HGNN) have been combined into a single stack.

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Marktechpost

OCTOBER 1, 2023

Researchers have recently developed Temporal Graph Neural Networks (TGNNs) to take advantage of temporal information in dynamic graphs, building on the success of Graph Neural Networks (GNNs) in learning static graph representation. If you like our work, you will love our newsletter.

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Neural Network Algorithm AI Researcher AI Research 131

Marktechpost

JANUARY 3, 2024

To address these limitations, a method known as Hyper-VolTran has been introduced by researchers from Meta AI. Also, don’t forget to join our 35k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , LinkedIn Gr oup , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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Neural Network Computer Vision Robotics AI 132

Marktechpost

DECEMBER 19, 2023

A new AI research introduces TorchExplorer, a novel AI tool designed for researchers working with unconventional neural network architectures, which provides an interactive and insightful exploration of network layers.

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Neural Network Deep Learning AI Tools AI Researcher 108

Marktechpost

JULY 7, 2024

Artificial neural networks (ANNs) traditionally lack the adaptability and plasticity seen in biological neural networks. Developing ANNs that can self-organize, learn from experiences, and adapt throughout their lifetime is crucial for advancing the field of artificial intelligence (AI). Check out the Paper.

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Marktechpost

SEPTEMBER 15, 2023

The traditional theory of how neural networks learn and generalize is put to the test by the occurrence of grokking in neural networks. This behavior is basically grokking in neural networks. Generalizing Solution: With this approach, the neural network is well-suited to generalizing to new data.

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Neural Network AI Researcher AI Research ML 126

AI Weekly

OCTOBER 26, 2023

Powered by clkmg.com In the News DeepMind chief : AI risk must be treated as seriously as climate crisis Demis Hassabis calls for greater regulation to quell existential fears over tech with above-human levels of intelligence theguardian.com Sponsor Liquid Assets, Solid Returns Want to age your portfolio like fine whiskey? voxeurop.eu

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Marktechpost

DECEMBER 17, 2023

Neural networks, the marvels of modern computation, encounter a significant hurdle when confronted with tabular data featuring heterogeneous columns. The essence of this challenge lies in the networks’ inability to handle diverse data structures within these tables effectively.

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Marktechpost

MARCH 29, 2024

In technological advancement, developing Neural Network Language Models (NNLMs) for on-device Virtual Assistants (VAs) represents a significant leap forward. Researchers from AppTek GmbH and Apple tackle these issues by pioneering a “World English” NNLM that amalgamates various dialects of English into a single, cohesive model.

Neural Network 105

Neural Network AI Research AI Researcher AI 105

Marktechpost

DECEMBER 7, 2023

Also, don’t forget to join our 33k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more. If you like our work, you will love our newsletter.

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Marktechpost

OCTOBER 28, 2023

To address this issue, NYU researchers have introduced an “interpretable-by-design” approach that not only ensures accurate predictive outcomes but also provides insights into the underlying biological processes, specifically RNA splicing. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter.

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Marktechpost

DECEMBER 15, 2023

Complex tasks like text or picture synthesis, segmentation, and classification are being successfully handled with the help of neural networks. However, it can take days or weeks to obtain adequate results from neural network training due to its computing demands. If you like our work, you will love our newsletter.

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Marktechpost

NOVEMBER 25, 2023

Also, don’t forget to join our 33k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more. If you like our work, you will love our newsletter.

Neural Network 120

Neural Network AI Research AI Researcher Deep Learning 120

Marktechpost

OCTOBER 13, 2023

In the realm of deep learning, the challenge of developing efficient deep neural network (DNN) models that combine high performance with minimal latency across a variety of devices remains. 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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AI Weekly

SEPTEMBER 26, 2024

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News The Best AI Image Generators of 2024 AI chatbots, like ChatGPT, have taken the world by storm because they can generate nearly any kind of text, including essays, reports, and code in seconds.

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AI News

AUGUST 20, 2024

AI capabilities have exploded over the past two years, with large language models (LLMs) such as ChatGPT, Dall-E, and Midjourney becoming everyday use tools. As you’re reading this article, generative AI programs are responding to emails, writing marketing copies, recording songs, and creating images from simple inputs.

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Neural Network AI AI Large Language Models 304

Marktechpost

SEPTEMBER 10, 2024

The intersection of computational physics and machine learning has brought significant progress in understanding complex systems, particularly through neural networks. Traditional neural networks, including many adapted to consider Hamiltonian properties, often need help with these systems’ high dimensionality and complexity.

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Neural Network Machine Learning AI Researcher AI Research 119

Marktechpost

NOVEMBER 26, 2023

Neural network architectures, particularly created and trained for few-shot knowledge the ability to learn a desired behavior from a small number of examples, were the first to exhibit this capability. Since then, a substantial amount of research has examined or documented instances of ICL. Check out the Paper.

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Neural Network Categorization AI Researcher AI Research 133