IBM Journey to AI blog

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

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Unite.AI

JANUARY 18, 2025

Just as GPUs once eclipsed CPUs for AI workloads , Neural Processing Units (NPUs) are set to challenge GPUs by delivering even faster, more efficient performanceespecially for generative AI , where massive real-time processing must happen at lightning speed and at lower cost.

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Unite.AI

NOVEMBER 5, 2024

The Artificial Intelligence (AI) chip market has been growing rapidly, driven by increased demand for processors that can handle complex AI tasks. The need for specialized AI accelerators has increased as AI applications like machine learning, deep learning , and neural networks evolve. trade restrictions.

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Marktechpost

OCTOBER 28, 2024

Curious about the future of AI? Want to witness firsthand how AI can generate creative text, code, or even art? AI playgrounds offer a hands-on experience to explore the limitless possibilities of artificial intelligence. Here is a list of ten free platforms that empower you to shape the future of AI.

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Unite.AI

AUGUST 19, 2024

Neural networks have been at the forefront of AI advancements, enabling everything from natural language processing and computer vision to strategic gameplay, healthcare, coding, art and even self-driving cars. The structure typically includes an input layer, one or more hidden layers, and an output layer.

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Marktechpost

APRIL 5, 2024

King’s College London researchers have highlighted the importance of developing a theoretical understanding of why transformer architectures, such as those used in models like ChatGPT, have succeeded in natural language processing tasks. Check out the Paper. Also, don’t forget to follow us on Twitter.

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Unite.AI

MARCH 2, 2025

Artificial Intelligence (AI) is evolving at an unprecedented pace, with large-scale models reaching new levels of intelligence and capability. 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.

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Towards AI

FEBRUARY 3, 2025

Haseeb Hassan Originally published on Towards AI. The rise of AI is massively affecting the society. AI is being discussed in various sectors like healthcare, banking, education, manufacturing, etc. However, DeepSeek AI is taking a different direction than the current AI Models. What is DeepSeek AI?

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AI Weekly

JULY 27, 2023

In the News 10 Thought-Provoking Novels About AI Although we’re probably still a long way off from the sentient forms of AI that are depicted in film and literature, we can turn to fiction to probe the questions raised by these technological advancements (and also to read great sci-fi stories!). to power those data centers.

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AI Weekly

AUGUST 10, 2023

Powered by clkmg.com In the News Deepset nabs $30M to speed up natural language processing projects Deepset GmbH today announced that it has raised $30 million to enhance its open-source Haystack framework, which helps developers build natural language processing applications. Subscribe today!] 1.41%) (BRK.B

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Towards AI

FEBRUARY 1, 2024

Last Updated on February 1, 2024 by Editorial Team Author(s): Abhishek Chaudhary Originally published on Towards AI. Many of us have a functional understanding of neural networks and how they work. Neural networks are a type of machine model inspired by the structure of the human brain.

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Unite.AI

JANUARY 22, 2025

AI practice management solutions are improving healthcare operations through automation and intelligent processing. Today's healthcare organizations can choose from various AI solutions tailored to specific operational needs. Throughout these functions, AI automation works to reduce manual tasks and optimize common workflows.

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Marktechpost

DECEMBER 10, 2024

Artificial Neural Networks (ANNs) have become one of the most transformative technologies in the field of artificial intelligence (AI). Artificial Neural Networks are computational systems inspired by the human brain’s structure and functionality. How Do Artificial Neural Networks Work?

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Marktechpost

MAY 14, 2024

This article lists the top Deep Learning and Neural Networks books to help individuals gain proficiency in this vital field and contribute to its ongoing advancements and applications. Neural Networks and Deep Learning The book explores both classical and modern deep learning models, focusing on their theory and algorithms.

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Unite.AI

MARCH 11, 2024

As we navigate the recent artificial intelligence (AI) developments, a subtle but significant transition is underway, moving from the reliance on standalone AI models like large language models (LLMs) to the more nuanced and collaborative compound AI systems like AlphaGeometry and Retrieval Augmented Generation (RAG) system.

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AI Weekly

JULY 13, 2023

In the News Elon Musk unveils new AI company set to rival ChatGPT Elon Musk, who has hinted for months that he wants to build an alternative to the popular ChatGPT artificial intelligence chatbot, announced the formation of what he’s calling xAI, whose goal is to “understand the true nature of the universe.” Powered by pluto.fi

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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 traditional approach to the automation of radiology reporting is based on convolutional neural networks (CNNs) or visual transformers to extract features from images.

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AI News

JULY 22, 2024

Enter AI, which is revolutionising the industry by providing bettors with sophisticated tools to improve their odds. By leveraging data analytics, machine learning, and real-time processing, AI is turning the traditional approach to sports betting on its head. Data collection and processing AI algorithms thrive on data.

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Marktechpost

MAY 13, 2024

Vision Transformers (ViT) and Convolutional Neural Networks (CNN) have emerged as key players in image processing in the competitive landscape of machine learning technologies. The Rise of Vision Transformers (ViTs) Vision Transformers represent a revolutionary shift in how machines process images.

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Towards AI

NOVEMBER 8, 2024

Author(s): Tejashree_Ganesan Originally published on Towards AI. Automating Words: How GRUs Power the Future of Text Generation Isn’t it incredible how far language technology has come? Natural Language Processing, or NLP, used to be about just getting computers to follow basic commands.

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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

DECEMBER 19, 2023

Natural language processing, conversational AI, time series analysis, and indirect sequential formats (such as pictures and graphs) are common examples of the complicated sequential data processing jobs involved in these. The study has been conducted by Generative AI Commons, Eleuther AI, U.

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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

JANUARY 24, 2024

With the growth of Deep learning, it is used in many fields, including data mining and natural language processing. However, deep neural networks are inaccurate and can produce unreliable outcomes. It can improve deep neural networks’ reliability in inverse imaging issues.

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IBM Journey to AI blog

APRIL 16, 2024

As technology expands, at TechD , we know that the quality of generative AI (gen AI) depends on accurate data sourcing. Through the implementation of generative AI we are able to expand our knowledge to many individuals easily, quickly and efficiently becoming a resource.

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Marktechpost

SEPTEMBER 17, 2024

In deep learning, neural network optimization has long been a crucial area of focus. Training large models like transformers and convolutional networks requires significant computational resources and time. Researchers have been exploring advanced optimization techniques to make this process more efficient.

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Marktechpost

MAY 17, 2024

Natural language processing (NLP) has advanced significantly thanks to neural networks, with transformer models setting the standard. These models have performed remarkably well across a range of criteria. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

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Unite.AI

JUNE 26, 2023

AI consciousness is a complex and fascinating concept that has captured the interest of researchers, scientists, philosophers, and the public. As AI continues to evolve, the question inevitably arises: Can machines attain a level of consciousness comparable to human beings? on AI consciousness.

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Unite.AI

SEPTEMBER 21, 2023

The crossover between artificial intelligence (AI) and blockchain is a growing trend across various industries, such as finance, healthcare, cybersecurity, and supply chain. According to Fortune Business Insights, the global AI and blockchain market value is projected to grow to $930 million by 2027 , compared to $220.5

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IBM Journey to AI blog

AUGUST 13, 2024

While the growing popularity of consumer AI chatbots have led many companies to recently enter the artificial intelligence (AI) space, IBM’s journey with AI has been decades in the making. In the following two decades, IBM continued to advance AI with research into machine learning, algorithms, NLP and image processing.

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Unite.AI

SEPTEMBER 15, 2024

Their findings, recently published in Nature , represent a significant leap forward in the field of neuromorphic computing – a branch of computer science that aims to mimic the structure and function of biological neural networks.

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Unite.AI

SEPTEMBER 18, 2024

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI. Visit Claude 3 → 2.

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AssemblyAI

MAY 3, 2023

In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? This question lies at the heart of AI alignment , a field that seeks to harmonize the actions of AI systems with our own goals and interests.

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Unite.AI

NOVEMBER 6, 2023

In recent years, Generative AI has shown promising results in solving complex AI tasks. Modern AI models like ChatGPT , Bard , LLaMA , DALL-E.3 Moreover, Multimodal AI techniques have emerged, capable of processing multiple data modalities, i.e., text, images, audio, and videos simultaneously.

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AI Weekly

JANUARY 18, 2024

Powered by superai.com In the News Bill Gates explains how AI will change our lives in 5 years It’s no secret that Bill Gates is bullish on artificial intelligence, but he’s now predicting that the technology will be transformative for everyone within the next five years. Serendipitously, I’ve found the laziest, easiest AI product out there.

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Marktechpost

OCTOBER 7, 2024

Recurrent neural networks (RNNs) have been foundational in machine learning for addressing various sequence-based problems, including time series forecasting and natural language processing. If you like our work, you will love our newsletter. Let’s collaborate!

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AI Weekly

DECEMBER 14, 2023

Powered by superai.com In the News 20 Best AI Chatbots in 2024 Generative AI chatbots are a major step forward in conversational AI. These chatbots are powered by large language models (LLMs) that can generate human-quality text, translate languages, write creative content, and provide informative answers to your questions.

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