Marktechpost

OCTOBER 28, 2024

An AI playground is an interactive platform where users can experiment with AI models and learn hands-on, often with pre-trained models and visual tools, without extensive setup. It’s ideal for testing ideas, understanding AI concepts, and collaborating in a beginner-friendly environment.

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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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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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Towards AI

JANUARY 29, 2025

Music Generation: AI models like OpenAIs Jukebox can compose original music in various styles. Video Generation: AI can generate realistic video content, including deepfakes and animations. Programming Languages: Python (most widely used in AI/ML) R, Java, or C++ (optional but useful) 2. GPT, BERT) Image Generation (e.g.,

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Unite.AI

OCTOBER 24, 2024

The rapid rise of Artificial Intelligence (AI) has transformed numerous sectors, from healthcare and finance to energy management and beyond. However, this growth in AI adoption has resulted in a significant issue of energy consumption. In contrast, Tsetlin Machines create clear, human-readable rules as they learn.

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NVIDIA

MARCH 19, 2025

Everybody at NVIDIA is incentivized to figure out how to work together because the accelerated computing work that NVIDIA does requires full-stack optimization, said Bryan Catanzaro, vice president of applied deep learning research at NVIDIA. You have to work together as one team to achieve acceleration. It was a watershed moment.

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Unite.AI

OCTOBER 5, 2023

This is your third AI book, the first two being: “Practical Deep Learning: A Python-Base Introduction,” and “Math for Deep Learning: What You Need to Know to Understand Neural Networks” What was your initial intention when you set out to write this book? Yes and no.

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Marktechpost

DECEMBER 16, 2023

” This innovative code, which simulates spiking neural networks inspired by the brain’s efficient data processing methods, originates from the efforts of a team at UC Santa Cruz. This publication offers candid insights into the convergence of neuroscience principles and deep learning methodologies.

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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). Modeled after the human brain, ANNs enable machines to learn from data, recognize patterns, and make decisions with remarkable accuracy. How Do Artificial Neural Networks Work?

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Neural Network Convolutional Neural Networks Natural Language Processing Algorithm 107

AI News

MAY 13, 2024

Designed from the outset as an AI-centric supercomputer, Aurora enables researchers to leverage generative AI models, significantly accelerating scientific discovery. At the core of Aurora lies the Intel Data Center GPU Max Series, built on the innovative Intel Xe GPU architecture, optimised for both AI and HPC tasks.

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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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Marktechpost

NOVEMBER 25, 2023

Addressing this, Jason Eshraghian from UC Santa Cruz developed snnTorch, an open-source Python library implementing spiking neural networks, drawing inspiration from the brain’s remarkable efficiency in processing data. Traditional neural networks lack the elegance of the brain’s processing mechanisms.

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Unite.AI

FEBRUARY 25, 2025

This innovation enables the first formal model and verification of the new IEEE P3109 standard for small (<16 bit) binary floating-point formats, essential for neural network quantization and distillation. For industries reliant on neural networks, ensuring robustness and safety is critical.

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Marktechpost

NOVEMBER 23, 2023

The highly parameterized nature of complex prediction models makes describing and interpreting the prediction strategies difficult. These models, including machine learning, neural networks, and AI models, have become standard tools in various scientific fields but are often difficult to interpret due to their extensive parameterization.

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AI Weekly

DECEMBER 7, 2023

Powered by superai.com In the News Google says new AI model Gemini outperforms ChatGPT in most tests Google has unveiled a new artificial intelligence model that it claims outperforms ChatGPT in most tests and displays “advanced reasoning” across multiple formats, including an ability to view and mark a student’s physics homework.

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AI Weekly

AUGUST 10, 2023

wired.com 47% of Warren Buffett's $375 Billion Portfolio Is Invested in 3 AI Stocks If you've ever wondered why Wall Street professionals and everyday investors pay so much attention to Berkshire Hathaway (BRK.A 1.41%) (BRK.B 1.57%) CEO Warren Buffett, just take a closer look at his track record since taking the reins in 1965.

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Unite.AI

DECEMBER 26, 2024

AI algorithms can be trained on a dataset of countless scenarios, adding an advanced level of accuracy in differentiating between the activities of daily living and the trajectory of falls that necessitate concern or emergency intervention.

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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

Marktechpost

MARCH 23, 2024

AI researchers are taking the game to a new level with geometric deep learning. DeepMind Researchers introduce TacticAI, an AI assistant designed to optimize one of football’s biggest set-piece weapons: the corner kick. Check out the Paper and Blog. Also, don’t forget to follow us on Twitter.

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AI Weekly

SEPTEMBER 12, 2024

In recent years, the world has gotten a firsthand look at remarkable advances in AI technology, including OpenAI's ChatGPT AI chatbot, GitHub's Copilot AI code generation software and Google's Gemini AI model. Register now dotai.io update and beyond.

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Marktechpost

NOVEMBER 29, 2023

While classical cognitive models explain many psychological features of speech perception, these models fall short in explaining brain coding and natural speech recognition. Deep learning models are getting close to human performance in automated speech recognition.

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Marktechpost

JANUARY 15, 2025

This gap has led to the evolution of deep learning models, designed to learn directly from raw data. What is Deep Learning? Deep learning, a subset of machine learning, is inspired by the structure and functioning of the human brain.

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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. L2O, on the other hand, trains a neural network to optimize other networks, which speeds up training.

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Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 111

AssemblyAI

SEPTEMBER 4, 2023

Neural Compression techniques are rapidly emerging as a new approach, employing neural networks to represent, compress, and reconstruct data, potentially achieving high compression rates with nearly zero perceptual information loss. At its core, it's an end-to-end neural network-based approach.

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Unite.AI

MAY 29, 2024

With nine times the speed of the Nvidia A100, these GPUs excel in handling deep learning workloads. This advancement has spurred the commercial use of generative AI in natural language processing (NLP) and computer vision, enabling automated and intelligent data extraction.

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Data Extraction Neural Network Large Language Models NLP 273

NVIDIA

JANUARY 6, 2025

As a result, were able to render at incredibly high performance, because AI does a lot less computation. RTX Neural Shaders use small neural networks to improve textures, materials and lighting in real-time gameplay. These models offered as NVIDIA NIM microservices are accelerated by the new GeForce RTX 50 Series GPUs.

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Robotics Explainability AI AI 144

NVIDIA

OCTOBER 25, 2023

NVIDIA Research continues to drive progress across the field — including generative AI models that transform text to images or speech, autonomous AI agents that learn new tasks faster, and neural networks that calculate complex physics,” said Jan Kautz, vice president of learning and perception research at NVIDIA.

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Neural Network Robotics Computer Vision Machine Learning 119

Unite.AI

NOVEMBER 14, 2024

When I started the company back in 2017, we were at a turning point with deep learning. As DeepL expands and its AI models are used more broadly, what are some of the key ethical considerations you prioritize when developing language AI systems, particularly when handling sensitive or confidential information?

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Unite.AI

APRIL 17, 2024

“The computing cost of today’s AI models is rising at unsustainable rates. For that reason, we developed Hala Point, which combines deep learning efficiency with novel brain-inspired learning and optimization capabilities. The industry needs fundamentally new approaches capable of scaling.

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AI Weekly

DECEMBER 28, 2023

nytimes.com The AI Trend In Crypto: Best Altcoins And Deep Learning Models The partnership emphasizes generative AI and content recommendation, enabling large-scale, privacy-preserving collaborative training of AI models and the deployment of AI models for personalized content recommendations.

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Unite.AI

SEPTEMBER 18, 2023

On the other hand, AI or Artificial Intelligence is a branch in modern science that focuses on developing machines that are capable of decision-making, and can simulate autonomous thinking comparable to a human’s ability. Deep learning frameworks can be classified into two categories: Supervised learning, and Unsupervised learning.

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Towards AI

FEBRUARY 3, 2025

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. DeepSeek AI The Future is Here So, where does DeepSeek AI fit in amongst it all? What is DeepSeek AI? Lets begin!

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Natural Language Processing OpenAI Neural Network Artificial Intelligence 125

Towards AI

SEPTEMBER 1, 2023

That’s where Machine Learning, and specifically Deep Learning, shines, abbreviating the processing time to mere minutes! The upside of the simplifications is that it allows us to apply more basic and faster AI models. ℝⁿ), which introduces greater complexity and requires the utilization of Deep Learning techniques.

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IBM Journey to AI blog

AUGUST 9, 2024

Generative AI (gen AI) is artificial intelligence that responds to a user’s prompt or request with generated original content, such as audio, images, software code, text or video. Gen AI models are trained on massive volumes of raw data. What is predictive AI?

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Unite.AI

OCTOBER 18, 2024

The 2024 Nobel Prizes have taken many by surprise, as AI researchers are among the distinguished recipients in both Physics and Chemistry. Hopfield received the Nobel Prize in Physics for their foundational work on neural networks. Geoffrey Hinton and John J. Geoffrey Hinton and John J.

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Pickl AI

DECEMBER 29, 2024

Introduction Mathematics forms the backbone of Artificial Intelligence , driving its algorithms and enabling systems to learn and adapt. Core areas like linear algebra, calculus, and probability empower AI models to process data, optimise solutions, and make accurate predictions.

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Towards AI

DECEMBER 16, 2024

Kernel Arnold Networks (KAN) Summary: Kernel Arnold Networks (KAN) propose a new way of representing and processing data, challenging traditional deep neural networks. Key Contributions: Unique combination of kernel methods with deep learning principles. Techniques for adversarial robustness.

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