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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Neural Network Machine Learning Algorithm AI Researcher 143

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. We are also on WhatsApp.

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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 98

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.

Neural Network 121

Neural Network Large Language Models AI AI 121

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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Neural Network Deep Learning Computer Vision Machine Learning 126

Marktechpost

DECEMBER 21, 2023

ReLoRA accomplishes a high-rank update, delivering a performance akin to conventional neural network training. link] Scaling laws have been identified, demonstrating a strong power-law dependence between network size and performance across different modalities, supporting overparameterization and resource-intensive neural networks.

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Neural Network AI AI Machine Learning 126

Marktechpost

DECEMBER 15, 2023

Several new innovations have been made possible because of the advancements in the field of Artificial intelligence and Deep Learning. Complex tasks like text or picture synthesis, segmentation, and classification are being successfully handled with the help of neural networks.

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Marktechpost

DECEMBER 16, 2023

The intersection of neuroscience and artificial intelligence has seen remarkable progress, notably through the development of an open-source Python library known as “snnTorch.” The IEEE paper, authored by the team, is a comprehensive guide complementing the snnTorch code. If you like our work, you will love our newsletter.

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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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Neural Network Deep Learning Data Analysis AI Researcher 106

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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Marktechpost

SEPTEMBER 1, 2023

Artificial intelligence’s allure has long been shrouded in mystique, especially within the enigmatic realm of deep learning. These intricate neural networks, with their complex processes and hidden layers, have captivated researchers and practitioners while obscuring their inner workings. Check out the Paper.

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Neural Network Deep Learning Categorization Artificial Intelligence 108

Marktechpost

SEPTEMBER 8, 2023

It offers a versatile platform not only for neural networks but also for handling a wide range of tasks, including ODEs, SDEs, linear solves, and more. The post Meet Equinox: A JAX library for Neural Networks and sciML appeared first on MarkTechPost. If you like our work, you will love our newsletter.

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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

JULY 12, 2023

Artificial neural networks have advanced significantly over the past few decades, propelled by the notion that more network complexity results in better performance. Modern technology has amazing processing capacity, enabling neural networks to perform these jobs excellently and efficiently.

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Neural Network Computer Vision AI Researcher AI Research 98

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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Neural Network Automation Deep Learning Algorithm 122

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 124

Unite.AI

MARCH 24, 2024

In a significant leap forward for artificial intelligence (AI), a team from the University of Geneva (UNIGE) has successfully developed a model that emulates a uniquely human trait: performing tasks based on verbal or written instructions and subsequently communicating them to others.

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Neural Network Robotics Natural Language Processing NLP 354

Marktechpost

DECEMBER 19, 2023

Advancements in deep learning have influenced a wide variety of scientific and industrial applications in artificial intelligence. Recurrent Neural Networks (RNNs) and Transformers are the most common methods; each has advantages and disadvantages. All credit for this research goes to the researchers of this project.

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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

JULY 2, 2023

Deep learning hardware has previously been extensively developed in digital electronics, including GPUs, mobile accelerator chips, FPGAs, and large-scale AI-dedicated accelerator systems. What happens if you run a Transformer model with an optical neural network?* appeared first on MarkTechPost.

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Neural Network Deep Learning Computer Vision Machine Learning 103

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 16, 2023

Researchers from various universities in the UK have developed an open-source artificial intelligence (AI) system, X-Raydar, for comprehensive chest x-ray abnormality detection. If you like our work, you will love our newsletter.

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Neural Network Auto-classification NLP Natural Language Processing 90

Marktechpost

NOVEMBER 9, 2023

One way the computational power required for inference could be reduced is by using quantization methods, i.e. reducing the precision of weights and activation functions of an artificial neural network. INT8 and weight-only quantization are a couple of ways the inference cost could be improved.

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Artificial Intelligence Artificial Intelligence Large Language Models Neural Network 143

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.

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Neural Network Categorization AI Researcher AI Research 132

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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Neural Network Convolutional Neural Networks Machine Learning Data Scientist 52

Marktechpost

OCTOBER 3, 2023

A neural network that has been trained to divide sounds into instrumental and non-instrumental categories is used for this investigation. This neural network’s main job is to determine whether the background recording has any musical instruments in it or not. If you like our work, you will love our newsletter.

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Artificial Intelligence Artificial Intelligence Neural Network Categorization 129

Marktechpost

OCTOBER 21, 2023

An entirely new way of thinking about visual computing has emerged with the rise of generative artificial intelligence (AI). With only a written prompt or high-level human instruction as input, generative AI systems enable the creation and manipulation of photorealistic and styled photos, movies, or 3D objects.

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Artificial Intelligence Artificial Intelligence Convolutional Neural Networks Neural Network 132

Marktechpost

JULY 29, 2023

Join the fastest growing ML Community on Reddit Massive machine learning models that mimic the brain’s information processing are the basis of deep neural networks (DNNs) like the one powering ChatGPT. The discipline of data science is evolving due to the rise of deep neural networks (DNNs).

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Neural Network Machine Learning ChatGPT Big Data 98

Marktechpost

DECEMBER 31, 2023

Artificial intelligence is used in all spheres of life, providing utility in all fields. Combining RL with deep Neural Networks (NNs) has demonstrated remarkable capabilities for finance. Consequently, a research team from Switzerland and the U.S. If you like our work, you will love our newsletter.

Neural Network 118

Neural Network Data Scarcity Artificial Intelligence Artificial Intelligence 118

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.

Artificial Intelligence 143

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 143

AI Weekly

NOVEMBER 23, 2023

forbes.com Visa launches artificial intelligence advisory service Visa is offering its customers artificial intelligence (AI) advisory services following the launch of an operation dedicated to the technology. igamingbusiness.com Ethics What’s the smart way of moving forward with AI? Be ready for a twofer.

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Convolutional Neural Networks OpenAI Neural Network Robotics 184

AI Weekly

DECEMBER 21, 2023

Artificial Intelligence Weekly Powered by superai.com In the News The top 12 people in AI policy, ethics, and research AI presents an ethical minefield that's pushed researchers, tech companies, and policymakers into opposing camps. In 2023, artificial intelligence (AI) truly entered our daily lives.

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Robotics Neural Network Artificial Intelligence Artificial Intelligence 222

Marktechpost

SEPTEMBER 26, 2023

Microsoft researchers propose a groundbreaking solution to these challenges in their recent “Neural Graphical Models” paper presented at the 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2023). If you like our work, you will love our newsletter.

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Unite.AI

MAY 2, 2024

Artificial intelligence (AI) has become a fundamental component of modern society, reshaping everything from daily tasks to complex sectors such as healthcare and global communications. As AI technology progresses, the intricacy of neural networks increases, creating a substantial need for more computational power and energy.

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Neural Network AI AI Artificial Intelligence 326

Marktechpost

SEPTEMBER 30, 2023

This redundancy consumes extra energy and leads to an expanded chip footprint, raising concerns about space efficiency and scalability in large-scale optical neural networks (ONNs) and optimization problem solvers. Efforts to address this issue have been made, with solutions such as a pseudo-real-value MZI mesh.

Neural Network 72

Neural Network Explainability AI Researcher AI Research 72

Marktechpost

AUGUST 21, 2023

The optical neural networks optimize the light and offer solutions to these problems by enabling high-speed, parallel, and energy-efficient consumption. The pluggable Diffractive neural networks act as a solution to the limitations of traditional deep learning by leveraging optical neural networks.

Neural Network 98

Neural Network Deep Learning Machine Learning AI Researcher 98

Marktechpost

NOVEMBER 26, 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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