Towards AI

NOVEMBER 8, 2024

Automating Words: How GRUs Power the Future of Text Generation Isn’t it incredible how far language technology has come? A practical solution to address this challenge is automating text generation. They’re called Gated Recurrent Units, and they’re basically an upgraded type of neural network that came out in 2014.

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Marktechpost

JANUARY 13, 2024

The challenge of interpreting the workings of complex neural networks, particularly as they grow in size and sophistication, has been a persistent hurdle in artificial intelligence. The traditional methods of explaining neural networks often involve extensive human oversight, limiting scalability.

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Unite.AI

NOVEMBER 28, 2024

Graph AI: The Power of Connections Graph AI works with data represented as networks, or graphs. Graph Neural Networks (GNNs) are a subset of AI models that excel at understanding these complex relationships. This makes it possible to spot patterns and gain deep insights.

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Unite.AI

FEBRUARY 12, 2025

The fast progress in AI technologies like machine learning, neural networks , and Large Language Models (LLMs) is bringing us closer to ASI. Advancements in technologies like neural networks, which are vital for deep learning due to their design inspired by the human brain, are playing an essential role in the development of ASI.

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Marktechpost

JANUARY 20, 2025

The automation of radiology report generation has become one of the significant areas of focus in biomedical natural language processing. The limited availability of radiologists and the growing demand for imaging interpretations further complicate the situation, highlighting the need for effective automation solutions.

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Unite.AI

JANUARY 22, 2025

AI practice management solutions are improving healthcare operations through automation and intelligent processing. Each system applies AI technology differently – from processing patient conversations for automated documentation to analyzing medical images for faster diagnosis.

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Marktechpost

APRIL 24, 2024

MIT CSAIL researchers introduced MAIA (Multimodal Automated Interpretability Agent) to address the challenge of understanding neural models, especially in computer vision, where interpreting the behavior of complex models is essential for improving accuracy and robustness and identifying biases. Check out the Paper and Project.

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Marktechpost

NOVEMBER 16, 2024

Learning computer vision is essential as it equips you with the skills to develop innovative solutions in areas like automation, robotics, and AI-driven analytics, driving the future of technology. The program also covers practical applications like image captioning, facial keypoint detection, and skin cancer detection using neural networks.

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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.

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Unite.AI

APRIL 6, 2025

This transformation is the beginning of a new era for fast food, where automation and technology play a larger role in everyday operations. Wendys drive-thru sales account for nearly 70% of its total revenue, making it a prime area for automation and optimization. The integration of AI in fast food provides several key benefits.

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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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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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Marktechpost

MAY 2, 2024

This study’s research area is artificial intelligence (AI) and machine learning, specifically focusing on neural networks that can understand binary code. The aim is to automate reverse engineering processes by training AI to understand binaries and provide English descriptions.

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Unite.AI

JANUARY 9, 2025

This tool uses a neural network to detect and classify nocturnal flight calls with impressive accuracy, even in noisy environments. Powered by neural networks and extensive training datasets, BirdNET has made bird studies accessible to a global community, inspiring new conservation engagement levels.

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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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Unite.AI

DECEMBER 19, 2024

Initially focused on automating basic processes like logistics and maintenance, AI now drives critical functions such as surveillance, predictive analytics, and autonomous operations. How AI is Transforming Military Strategies AI is changing the way militaries plan, operate, and protect.

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IBM Journey to AI blog

JUNE 14, 2023

Sometimes the problem with artificial intelligence (AI) and automation is that they are too labor intensive. With a foundation model, often using a kind of neural network called a “transformer” and leveraging a technique called self-supervised learning, you can create pre-trained models for a vast amount of unlabeled data.

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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.

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Unite.AI

FEBRUARY 17, 2025

Last year, they introduced AlphaGeometry , an AI system that combines the predictive power of neural networks with the structured logic of symbolic reasoning to tackle complex geometry problems. The neural language model helps the system predict new geometric constructs, while symbolic AI applies formal logic to generate proofs.

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IBM Journey to AI blog

MAY 10, 2024

Underpinning most artificial intelligence (AI) deep learning is a subset of machine learning that uses multi-layered neural networks to simulate the complex decision-making power of the human brain. FPGA programming and reprogramming can potentially delay deployments.

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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?

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Marktechpost

JUNE 9, 2024

xECGArch uniquely separates short-term (morphological) and long-term (rhythmic) ECG features using two independent Convolutional Neural Networks CNNs. This approach enhances the interpretability and reliability of ECG classifications, bridging the gap between clinical needs and automated analysis. Check out the Paper.

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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. We are also on WhatsApp. Join our AI Channel on Whatsapp.

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Unite.AI

MAY 29, 2024

This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction. Additionally, it poses a security risk when handling sensitive data, making it a less desirable option in the age of automation and digital security.

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AI News

AUGUST 13, 2024

Enter SingularityNET’s ambitious plan: a “multi-level cognitive computing network” designed to host and train the incredibly complex AI architectures required for AGI. Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London.

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AI Weekly

JULY 20, 2023

Discover AI-generated charts, AI insights from real-time data, AI automation, and a steadfast copilot, all in one sophisticated platform. Turn market trends into lucrative AI Automations ?️ Run risk-free sandbox trials to test and perfect your Automations ? Powered by pluto.fi Try Pluto for free today] pluto.fi

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AI Weekly

JULY 13, 2023

Discover AI-generated charts, AI insights from real-time data, AI automation, and a steadfast copilot, all in one sophisticated platform. plos.org Screening for Chagas disease from the electrocardiogram using a deep neural network Worldwide, it is estimated that over 6 million people are infected with Chagas disease (ChD).

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Marktechpost

JANUARY 20, 2025

introduced the concept of Generative Adversarial Networks (GANs) , where two neural networks, i.e., the generator and the discriminator, are trained simultaneously. In content creation, generative models can automate the production of artwork, video game textures, and synthetic media. Ian Goodfellow et al.

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Unite.AI

MARCH 2, 2025

From early neural networks to todays advanced architectures like GPT-4 , LLaMA , and other Large Language Models (LLMs) , AI is transforming our interaction with technology. These models can process vast amounts of data, generate human-like text, assist in decision-making, and enhance automation across industries.

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Unite.AI

NOVEMBER 17, 2023

Generative AI can improve industrial automation, develop new software code, and enhance transportation security through the automated synthesis of video, audio, imagery, and more. Companies like Hailo manufacture AI processors purpose-designed to perform neural network processing. That’s generative AI at the edge.

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AI News

MAY 13, 2024

This technological foundation enables parallel processing capabilities, crucial for handling complex neural network AI computations. The comprehensive event is co-located with other leading events including Intelligent Automation Conference , BlockX , Digital Transformation Week , and Cyber Security & Cloud Expo.

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Towards AI

NOVEMBER 12, 2024

In fact, my original post about automating SWOT analysis using GPT-3.5 Neurosymbolic AI isn’t just a fancier AI; it’s a unique blend that combines pattern recognition (neural networks) with rule-based logic (symbolic AI) to deliver richer, more actionable insights. Image comparing GPT-3.5 only vs Neurosymbolic GPT-3.5

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Marktechpost

DECEMBER 29, 2024

Designing neuromorphic sensory processing units (NSPUs) based on Temporal Neural Networks (TNNs) is a highly challenging task due to the reliance on manual, labor-intensive hardware development processes. However, available methodologies lack automation and are not very accessible. Trending: LG AI Research Releases EXAONE 3.5:

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Unite.AI

MAY 6, 2024

Unlike many traditional AI models that depend solely on neural networks , LAMs utilize a hybrid approach combining neuro-symbolic programming. This integration of symbolic programming aids in logical reasoning and planning, while neural networks contribute to recognizing complex sensory patterns.

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Unite.AI

SEPTEMBER 21, 2023

Some prominent AI techniques include neural networks, convolutional neural networks, transformers, and diffusion models. AI's real-time data analysis and decision-making capabilities expand blockchain’s authenticity, augmentation, and automation capabilities. What is Blockchain?

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AI Weekly

JANUARY 2, 2025

In The News Top Digital Transformation Trends To Watch In 2025 Discover the top digital transformation trends for 2025, from AI-powered automation and low-code platforms to 5G connectivity and cybersecurity. Powered by aiweekly.co aiweekly.co elearningindustry.com Opportunities, limits and ethical issues: what scenarios for AI in 2025?

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