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

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 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

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! Department of Justice. You can also subscribe via email.

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AI Researcher AI Research Robotics Artificial Intelligence 227

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 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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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. However, this approach tends to overlook optimizing the search space itself. We are also on WhatsApp.

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Neural Network Deep Learning Algorithm Automation 131

Unite.AI

JUNE 15, 2024

The Harvard researchers worked closely with the DeepMind team to build a biomechanically realistic digital model of a rat. The neural network was trained to use inverse dynamics models, which are believed to be employed by our brains for guiding movement.

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Marktechpost

SEPTEMBER 8, 2023

Researchers suggest a new approach to design using heuristic optimization and artificial neural networks to simplify the optimization process drastically. A deep neural network model replaced the 3D electromagnetic simulation of a Si-based MZM. If you like our work, you will love our newsletter.

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Deep Learning Algorithm AI Researcher AI Research 110

Marktechpost

DECEMBER 11, 2023

Moreover, since the models depend on the knowledge of climate scientists to improve equations, parameterizations, and algorithms, NWP forecast accuracy remains the same with additional data. Using historical data, like the ERA5 reanalysis dataset, deep neural networks are trained to forecast future weather conditions.

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Neural Network Deep Learning Explainability Algorithm 126

Marktechpost

AUGUST 31, 2024

Deep neural network training can be sped up by Fully Quantised Training (FQT), which transforms activations, weights, and gradients into lower precision formats. Researchers have been studying the viability of 1-bit FQT in an endeavor to explore these constraints. Check out the Paper.

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Neural Network AI Researcher AI Research Algorithm 119

Marktechpost

DECEMBER 16, 2023

Trained on a dataset from six UK hospitals, the system utilizes neural networks, X-Raydar and X-Raydar-NLP, for classifying common chest X-ray findings from images and their free-text reports. An NLP algorithm, X-Raydar-NLP, was trained on 23,230 manually annotated reports to extract labels.

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Marktechpost

JULY 15, 2023

Since the emergence of large-scale OT and Wasserstein GANs, machine learning has increasingly embraced using neural networks to solve optimum transport (OT) issues. The theoretical underpinnings of the algorithm make its output more easily understood than competing methods.

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Marktechpost

AUGUST 21, 2023

The results of today’s neural networks in fields as diverse as language, mathematics, and vision are remarkable. These networks, however, typically employ elaborate structures that are resource-intensive to run. Each weight in a typical neural network specifies the link between two neurons.

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Neural Network Algorithm AI AI 98

Mlearning.ai

JULY 17, 2023

How taking inspiration from the brain can help us create Neural Networks. Data Scientists spend a lot of time and resources in improving the architecture of their AI Models. As such, there is a lot of research into figuring out different architectures and how different design decisions impact the performance of models.

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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 124

AI Weekly

SEPTEMBER 26, 2024

for robotics simulation tech One of the most fundamental breakthroughs at Nvidia has been building processors that power and integrate with highly detailed, compute-intensive graphical simulations, which can be used in a wide range of applications, from games and industrial developments through to AI training.

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Neural Network Robotics Artificial Intelligence Artificial Intelligence 199

Unite.AI

MARCH 24, 2024

The capacity for an AI to intuitively grasp a task from minimal instruction and then articulate its understanding has remained elusive. This gap in AI capabilities highlights the limitations of existing models. These networks emulate the way human neurons transmit electrical signals, processing information through interconnected nodes.

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Neural Network Robotics Natural Language Processing NLP 354

Unite.AI

OCTOBER 22, 2024

Understanding Computational Complexity in AI The performance of AI models depends heavily on computational complexity. This term refers to how much time, memory, or processing power an algorithm requires as the size of the input grows. Initially, many AI algorithms operated within manageable complexity limits.

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Marktechpost

DECEMBER 12, 2023

Numerous studies have been put forth to improve the generation quality by applying multiple optimization stages, concurrently optimizing the diffusion before the 3D representation, formulating the score distillation algorithm with greater precision, or improving the specifics of the entire pipeline.

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Neural Network AI AI Algorithm 119

Marktechpost

AUGUST 7, 2023

With its innovative approach to T2I personalization, Perfusion has opened new avenues for creativity and expression, offering a glimpse into a future where human input and advanced algorithms harmoniously coexist. All Credit For This Research Goes To the Researchers on This Project. Check out the Paper and Project Page.

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Neural Network Natural Language Processing Algorithm AI Researcher 98

AI Weekly

JUNE 29, 2023

In the News Next DeepMind's Algorithm To Eclipse ChatGPT IN 2016, an AI program called AlphaGo from Google’s DeepMind AI lab made history by defeating a champion player of the board game Go. The study reveals that 20% of male users are already using AI to improve their online dating experiences. Powered by pluto.fi

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Algorithm ChatGPT Convolutional Neural Networks Robotics 183

Marktechpost

NOVEMBER 29, 2023

Models that rely on data to follow a vehicle include neural networks, recurrent neural networks, and reinforcement learning. Several limitations exist, though, in the current body of research, as follows: To begin, car-following models are not yet well evaluated because of the absence of standard data formats.

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AI Researcher AI Research Neural Network Algorithm 111

AI Weekly

NOVEMBER 23, 2023

forbes.com Applied use cases From Data To Diagnosis: A Deep Learning Approach To Glaucoma Detection When the algorithm is implemented in clinical practice, clinicians collect data such as optic disc photographs, visual fields, and intraocular pressure readings from patients and preprocess the data before applying the algorithm to diagnose glaucoma.

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Convolutional Neural Networks OpenAI Neural Network Robotics 190

Marktechpost

SEPTEMBER 1, 2023

Researchers have been exploring behavioral and physiological biometrics for enhancing mobile device security. Incorporating machine learning and deep learning algorithms has shown promise in bolstering security. These methods leverage unique user characteristics like typing patterns and facial features.

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Marktechpost

MARCH 4, 2024

Efficiency of Large Language Models (LLMs) is a focal point for researchers in AI. A groundbreaking study by Qualcomm AI Research introduces a method known as GPTVQ, which leverages vector quantization (VQ) to enhance the size-accuracy trade-off in neural network quantization significantly.

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Machine Learning AI Researcher AI Research Large Language Models 132

Marktechpost

OCTOBER 17, 2023

In this research, the authors have redefined the conventional A* search algorithm differently and combined it with a convolutional encoder to create a fully trainable end-to-end neural network planner. Join our AI Channel on Whatsapp. If you like our work, you will love our newsletter. We are also on WhatsApp.

AI Researcher 124

AI Researcher AI Research Neural Network Robotics 124

Kavita Ganesan

JANUARY 27, 2022

It provides an introduction to deep neural networks in Python. Andrew is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations. Neural Network Basics We will start with some basics on neural networks. Everything is a number.

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Neural Network Python Deep Learning Convolutional Neural Networks 52

AI Weekly

SEPTEMBER 12, 2024

ft.com OpenAI co-founder Sutskever's new safety-focused AI startup SSI raises $1 billion Safe Superintelligence (SSI), newly co-founded by OpenAI's former chief scientist Ilya Sutskever, has raised $1 billion in cash to help develop safe artificial intelligence systems that far surpass human capabilities, company executives told Reuters.

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Convolutional Neural Networks Robotics Neural Network Artificial Intelligence 215

Marktechpost

JULY 22, 2023

State-of-the-art consistency-based algorithms typically introduce several configurable hyper-parameters, even though they attain excellent performance. For optimal algorithm performance, it is common practice to tune these hyper-parameters to optimal values.

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Machine Learning Algorithm Deep Learning Neural Network 98

Marktechpost

JANUARY 14, 2024

Two classifiers, Artificial Neural Network (ANN) and Support Vector Machine (SVM), are used to test the performance of the engineered features in predicting tax fraud. Four algorithms were employed: XGBoost, autoencoders, ANN, and SVM. Notably, the Artificial Neural Network accurately predicted tax fraud.

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Machine Learning AI Researcher AI Research Neural Network 110

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. AGI is not a new concept.

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Neural Network Machine Learning Algorithm Natural Language Processing 195

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 Researcher AI Research Natural Language Processing Neural Network 111

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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Deep Learning Neural Network Explainability Artificial Intelligence 140

Unite.AI

JULY 25, 2024

These fingerprints can then be analyzed by a neural network, unveiling previously inaccessible information about material behavior. To make sense of the vast amount of data generated by XPCS, researchers have turned to AI for recognizing patterns and extracting meaningful information from large, complex datasets.

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Marktechpost

OCTOBER 21, 2023

The model first represents objects’ geometry and shape in the input video using a space carving algorithm and a neural network to learn how to represent the 3D scene from the point cloud. The researchers evaluated the performance of 4K4D on multiple datasets such as DNA-Rendering, ENeRF-Outdoor, etc.

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AI Researcher AI Research Neural Network Computer Vision 124

AI Weekly

DECEMBER 21, 2023

About two-thirds of Australian employees report using generative AI for work. theconversation.com Stanford : What to Expect in AI in 2024 This past year marked major advances in generative AI as terms like ChatGPT and Bard become household names. yahoo.com Research The AI–quantum computing mash-up: will it revolutionize science?

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