Unite.AI

APRIL 2, 2025

They created a basic “map” of how Claude processes information. Using a technique called dictionary learning , they found millions of patterns in Claudes “brain”its neural network. Mapping Claudes Thoughts In mid-2024, Anthropics team made an exciting breakthrough.

Large Language Models 269

Large Language Models Neural Network Explainability AI Modeling 269

Pickl AI

APRIL 6, 2025

Summary: Deep Learning vs Neural Network is a common comparison in the field of artificial intelligence, as the two terms are often used interchangeably. Introduction Deep Learning and Neural Networks are like a sports team and its star player. However, they differ in complexity and application.

Neural Network 52

Neural Network Deep Learning Natural Language Processing Convolutional Neural Networks 52

Marktechpost

DECEMBER 28, 2024

Additionally, current approaches assume a one-to-one mapping between input samples and their corresponding optimized weights, overlooking the stochastic nature of neural network optimization. It uses a hypernetwork, which predicts the parameters of the task-specific network at any given optimization step based on an input condition.

Neural Network 78

Neural Network AI Researcher AI Research ML 78

Unite.AI

MAY 8, 2024

The ability to effectively represent and reason about these intricate relational structures is crucial for enabling advancements in fields like network science, cheminformatics, and recommender systems. Graph Neural Networks (GNNs) have emerged as a powerful deep learning framework for graph machine learning tasks.

Neural Network 182

Neural Network Large Language Models LLM BERT 182

Towards AI

MARCH 7, 2025

Limitations of ANNs: Move to Convolutional Neural Networks This member-only story is on us. The journey from traditional neural networks to convolutional architectures wasnt just a technical evolution it was a fundamental reimagining of how machines should perceive visual information.

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Neural Network Convolutional Neural Networks AI AI 75

Flipboard

MARCH 21, 2025

On Thursday, Anthropic introduced web search capabilities for its AI assistant Claude, enabling the assistant to access current information online. Previously, the latest AI model that powers Claude could only rely on data absorbed during its neural network training process, having a "knowledge cutoff" of October 2024.

Neural Network 148

Neural Network ChatGPT AI AI 148

Unite.AI

OCTOBER 10, 2024

A new research paper from Canada has proposed a framework that deliberately introduces JPEG compression into the training scheme of a neural network, and manages to obtain better results – and better resistance to adversarial attacks. In contrast, JPEG-DL (right) succeeds in distinguishing and delineating the subject of the photo.

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Neural Network Convolutional Neural Networks Deep Learning Machine Learning 162

Flipboard

MARCH 28, 2025

One of the most frustrating things about using a large language model is dealing with its tendency to confabulate information , hallucinating answers that are not supported by its training data.

Neural Network 181

Neural Network Large Language Models LLM AI 181

Analytics Vidhya

DECEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Introduction Long short term memory (LSTM) is a model that increases the memory of recurrent neural networks. Recurrent neural networks hold short term memory in that they allow earlier determining information to be employed in the current neural networks.

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Neural Network Data Science Deep Learning Python 339

Unite.AI

DECEMBER 17, 2024

By combining the power of neural networks with the logic of symbolic AI, it could solve some of the reliability problems generative AI faces. It can mislead people into trusting information thats simply not true. It combines two strengths: neural networks that recognize patterns and symbolic AI that uses logic to reason.

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Neural Network Generative AI AI AI 130

Analytics Vidhya

JULY 8, 2024

Introduction Biological neurons are pivotal in artificial neural network research, mirroring the intricate structures responsible for brain functions. Soma, axons, dendrites, and synapses are part of neurons that help process information.

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Neural Network Generative AI Artificial Intelligence Artificial Intelligence 290

Marktechpost

FEBRUARY 2, 2025

Artificial Neural Networks (ANNs) have their roots established in the inspiration developed from biological neural networks. The dANNs try to mimic the structural connectivity of biological neurons, reducing random connections to process information more efficiently. Dont Forget to join our 75k+ ML SubReddit.

Neural Network 53

Neural Network Artificial Intelligence Artificial Intelligence AI 53

Flipboard

APRIL 2, 2025

Their outputs are formed from billions of mathematical signals bouncing through layers of neural networks powered by computers of unprecedented power and speed, and most of that activity remains invisible or inscrutable to AI researchers. The truth is, we dont fully know. Large language models think in ways that dont look very human.

Neural Network 175

Neural Network LLM AI AI 175

Unite.AI

DECEMBER 19, 2024

Meanwhile, AR overlays deliver real-time information to ground troops, helping them make faster and better decisions during operations. Unlike traditional systems that rely on short-term memory, persistent memory enables AI to retain and recall information over time. One key advancement is the rise of hybrid memory systems.

AI 263

AI AI Neural Network Artificial Intelligence 263

Unite.AI

DECEMBER 7, 2024

At its core, the Iris AI engine operates as a sophisticated neural network that continuously monitors and analyzes social signals across multiple platforms, transforming raw social data into actionable intelligence for brand protection and marketing optimization.

AI Tools 278

AI Tools Automation NLP Algorithm 278

Analytics Vidhya

MAY 25, 2023

These interesting neural networks can compress, reconstruct, and extract important information from data. Introduction Extracting important insights from complicated datasets is the key to success in the era of data-driven decision-making. Enter autoencoders, deep learning‘s hidden heroes.

Neural Network 291

Neural Network Deep Learning Machine Learning 291

BAIR

MARCH 25, 2025

We designed the AVs with deployment in mind, ensuring that they can operate using only basic sensor information about themselves and the vehicle in front. Modular control framework: One key challenge during the test was not having access to the leading vehicle information sensors.

Neural Network 293

Neural Network Computer Vision Robotics 293

Unite.AI

JANUARY 18, 2025

While Central Processing Units (CPUs) and Graphics Processing Units (GPUs) have historically powered traditional computing tasks and graphics rendering, they were not originally designed to tackle the computational intensity of deep neural networks.

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Generative AI Neural Network Robotics Natural Language Processing 147

AI News

DECEMBER 7, 2023

The core message revolved around understanding AI beyond the hype to make informed decisions that align with organisational goals. He outlined key attributes of neural networks, embeddings, and transformers, focusing on large language models as a shared foundation.

Big Data 329

Big Data Neural Network Large Language Models AI 329

Analytics Vidhya

FEBRUARY 16, 2022

that deals with deriving meaningful information from images. Since 2012 after convolutional neural networks(CNN) were introduced, we moved away from handcrafted features to an end-to-end approach using deep neural networks. Introduction Computer vision is a field of A.I. These are easy to develop […].

Convolutional Neural Networks 271

Convolutional Neural Networks Neural Network Computer Vision Data Science 271

Analytics Vidhya

JULY 25, 2022

Introduction Computer Vision Is one of the leading fields of Artificial Intelligence that enables computers and systems to extract useful information from digital photos, movies, and other visual inputs. It uses Machine Learning-based Model Algorithms and Deep Learning-based Neural Networks for its implementation. […].

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Neural Network Computer Vision Deep Learning Artificial Intelligence 306

Unite.AI

MARCH 24, 2024

Central to this advancement in NLP is the development of artificial neural networks, which draw inspiration from the biological neurons in the human brain. These networks emulate the way human neurons transmit electrical signals, processing information through interconnected nodes.

Neural Network 354

Neural Network Robotics Natural Language Processing NLP 354

Towards AI

NOVEMBER 10, 2024

4] claim that all samples in a dataset are not equally important for neural network training. They propose an importance sampling technique to focus computation on “informative” examples during training. Based on Active Learning literature [5], uncertainty can be used to estimate the informativeness of each image.

Neural Network 128

Neural Network Computer Vision AI AI 128

Unite.AI

DECEMBER 3, 2024

Think about the underlying implications: Neural networks that can identify and replicate complex communication patterns Advanced context awareness in language processing New approaches to training language models Potential breakthroughs in cross-cultural communication understanding Today we are teaching AI to match writing styles.

Neural Network 145

Neural Network Large Language Models Machine Learning Chatbots 145

Unite.AI

MARCH 19, 2025

While no AI today is definitively conscious, some researchers believe that advanced neural networks , neuromorphic computing , deep reinforcement learning (DRL), and large language models (LLMs) could lead to AI systems that at least simulate self-awareness.

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Large Language Models Neural Network AI AI 194

Unite.AI

SEPTEMBER 5, 2024

Biological systems have fascinated computer scientists for decades with their remarkable ability to process complex information, adapt, learn, and make sophisticated decisions in real time. The complex web of cellular signaling pathways acts as the information processing system, allowing for massively parallel computations within the cell.

Neural Network 312

Neural Network Artificial Intelligence Artificial Intelligence AI 312

AI Weekly

OCTOBER 26, 2023

siliconangle.com A Primer on Generative AI’s Alphabet Soup of Acronyms Deep learning (DL) is a subfield of machine learning that focuses on training artificial neural networks (ANNs) with multiple layers (deep neural networks) to learn and make predictions from data. androidguys.com Ethics Should we be afraid of AI?

Neural Network 262

Neural Network Convolutional Neural Networks Robotics Deep Learning 262

Analytics Vidhya

MAY 16, 2022

Introduction on Long Short Term Memory Have you seen “Memento” or there is one Bollywood movie named “Gajni” where the hero doesn’t remember the information which occurred way back? Standard Recurrent neural networks are like the heroes of that movie, they suffer from […].

Neural Network 271

Neural Network Data Science Deep Learning 271

Unite.AI

NOVEMBER 22, 2024

It helps explain how AI models, especially LLMs, process information and make decisions. By using a specific type of neural network called sparse autoencoders (SAEs) , Gemma Scope breaks down these complex processes into simpler, more understandable parts. To tackle this challenge, DeepMind has created a tool called Gemma Scope.

Large Language Models 113

Large Language Models Neural Network AI AI 113

Flipboard

APRIL 6, 2025

Here we report a multitask learning workflow combined with a mechanism-informed graph neural network to predict site selectivity for ruthenium-catalysed C–H functionalization of arenes. The multitask architecture enables the acquisition of related knowledge from the simultaneous learning tasks.

Neural Network 93

Neural Network Machine Learning 93

Unite.AI

OCTOBER 17, 2024

During training, each row of data as it passes through the network–called a neural network–modifies the equations at each layer of the network so that the predicted output matches the actual output. As the data in a training set is processed, the neural network learns how to predict the outcome.

Neural Network 263

Neural Network Convolutional Neural Networks Large Language Models Computer Vision 263

Unite.AI

DECEMBER 8, 2023

These systems, typically deep learning models, are pre-trained on extensive labeled data, incorporating neural networks for self-attention. Each neuron in every layer of a fast feedforward network is interconnected with every neuron in the next layer, thus making FFF neural networks a fully connected network.

BERT 311

BERT Neural Network Large Language Models Algorithm 311

Marktechpost

OCTOBER 28, 2024

By inputting different prompts, users can observe the model’s ability to generate human-quality text, translate languages, write various kinds of creative content, and answer your questions in an informative way. This platform provides a valuable opportunity to understand the potential of AI in natural language processing.

Neural Network 109

Neural Network Natural Language Processing Deep Learning Machine Learning 109

Unite.AI

FEBRUARY 10, 2025

NeuroSplit is fundamentally device-agnostic, cloud-agnostic, and neural network-agnostic. They can build their AI application once and know it will adapt intelligently across any device, any cloud, and any neural network architecture. But AI shouldn't be limited by which end-user device someone happens to use.

Neural Network 232

Neural Network Hybrid AI AI Modeling Large Language Models 232

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. More intriguing, however, was the shift in how individual nodes processed information.

Neural Network 342

Neural Network Artificial Intelligence Artificial Intelligence AI 342

AssemblyAI

SEPTEMBER 4, 2023

Data compression plays a pivotal role in today’s digital world, facilitating efficient storage and transmission of information. Neural compression methods can achieve near-lossless capabilities when combined with upscaling and super-resolution techniques for reconstruction ( source ). The EnCodec architecture ( source ).

Neural Network 323

Neural Network Deep Learning Algorithm Large Language Models 323

NYU Center for Data Science

NOVEMBER 22, 2024

However, CDS Research Scientist Ravid Shwartz-Ziv is experimenting with a different approach, coordinating multiple research projects through a Discord server where anyone interested can contribute to exploring connections between large language models and information theory. Does it compress information?

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Neural Network Large Language Models Data Science Machine Learning 97