ML @ CMU

JANUARY 2, 2025

Our results shed light on the possible rationale for the brains modularity and suggest that artificial systems can use this insight from neuroscience to improve learning and generalization in natural tasks. We use a model-free actor-critic approach to learning, with the actor and critic implemented using distinct neural networks.

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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. Machine learning is a subset of AI. What is artificial intelligence (AI)?

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Analytics Vidhya

FEBRUARY 25, 2023

So many Artificial Intelligence applications have been developed and are available for public use, and chatGPT is a recent one by Open AI. ChatGPT is an artificial intelligence model that uses the deep model to produce human-like text.

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AI News

AUGUST 11, 2023

IBM Research has unveiled a groundbreaking analog AI chip that demonstrates remarkable efficiency and accuracy in performing complex computations for deep neural networks (DNNs). The newly introduced chip is a cutting-edge analog AI solution composed of 64 analog in-memory compute cores.

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Unite.AI

OCTOBER 27, 2024

As artificial intelligence continues to reshape the tech landscape, JavaScript acts as a powerful platform for AI development, offering developers the unique ability to build and deploy AI systems directly in web browsers and Node.js environments. LangChain.js TensorFlow.js TensorFlow.js environments. What distinguishes TensorFlow.js

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Analytics Vidhya

APRIL 16, 2024

In the meantime, reading inspirational books, […] The post Here’s How You can Self Study for Deep Learning appeared first on Analytics Vidhya. Many struggle with where to begin or how to stay on track when starting a new endeavor.

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Marktechpost

APRIL 6, 2024

In deep learning, a unifying framework to design neural network architectures has been a challenge and a focal point of recent research. They have proposed a solution grounded in category theory, aiming to create a more integrated and coherent methodology for neural network design.

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Marktechpost

OCTOBER 31, 2024

Deep learning has made advances in various fields, and it has made its way into material sciences as well. From tasks like predicting material properties to optimizing compositions, deep learning has accelerated material design and facilitated exploration in expansive materials spaces. Check out the Paper.

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AI News

JULY 24, 2023

AI News spoke with Damian Bogunowicz, a machine learning engineer at Neural Magic , to shed light on the company’s innovative approach to deep learning model optimisation and inference on CPUs. However, Neural Magic tackles this issue head-on through a concept called compound sparsity.

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Unite.AI

FEBRUARY 12, 2025

Artificial Intelligence (AI) is advancing faster than ever, and now, the idea of Artificial Super Intelligence (ASI ) is moving from science fiction into a possible future. The fast progress in AI technologies like machine learning, neural networks , and Large Language Models (LLMs) is bringing us closer to ASI.

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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.

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Analytics Vidhya

JUNE 25, 2024

This is mainly because of the AI boom and demand for AI chips. Deep Learning […] The post Nvidia’s DLSS: Deep Learning Super Sampling appeared first on Analytics Vidhya. Recently, it became the largest company in the world, by market cap. Their high-performance GPUs are well-known.

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Marktechpost

APRIL 29, 2024

Physics-Informed Neural Networks (PINNs) have become a cornerstone in integrating deep learning with physical laws to solve complex differential equations, marking a significant advance in scientific computing and applied mathematics.

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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

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. What Is a Neural Processing Unit (NPU)?

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Marktechpost

FEBRUARY 9, 2025

Meta AIs research into Brain2Qwerty presents a step toward addressing this challenge. Meta AI introduces Brain2Qwerty , a neural network designed to decode sentences from brain activity recorded using EEG or magnetoencephalography (MEG). Dont Forget to join our 75k+ ML SubReddit.

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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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Pickl AI

JANUARY 29, 2025

Summary: This article presents 10 engaging Deep Learning projects for beginners, covering areas like image classification, emotion recognition, and audio processing. Each project is designed to provide practical experience and enhance understanding of key concepts in Deep Learning. What is Deep Learning?

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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.

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Towards AI

JANUARY 29, 2025

Last Updated on January 29, 2025 by Editorial Team Author(s): Vishwajeet Originally published on Towards AI. How to Become a Generative AI Engineer in 2025? From creating art and music to generating human-like text and designing virtual worlds, Generative AI is reshaping industries and opening up new possibilities.

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Pickl AI

NOVEMBER 24, 2024

Summary: Autoencoders are powerful neural networks used for deep learning. Their applications include dimensionality reduction, feature learning, noise reduction, and generative modelling. An autoencoder is a neural network designed to learn a compressed representation of input data.

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The MLOps Blog

MARCH 13, 2025

In his famous blog post Artificial Intelligence The Revolution Hasnt Happened Yet , Michael Jordan (the AI researcher, not the one you probably thought of first) tells a story about how he might have almost lost his unborn daughter due to a faulty AI prediction. It is 08:30 am, and you have to be at work by 09:00. How do you choose?

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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. Computer Vision The Computer Vision Nanodegree Program offers advanced training in computer vision, deep learning, and robotics.

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Unite.AI

OCTOBER 5, 2023

We recently received an advanced copy of the book “How AI Work: From Sorcery to Science” by Ronald T. I've so far read over 60 books on AI, and while some of them do get repetitive, this book managed to offer a fresh perspective, I enjoyed this book enough to add it to my personal list of the Best Machine Learning & AI Books of All Time.

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Analytics Vidhya

FEBRUARY 3, 2023

For example, researchers predicted that deep neural networks would eventually be used for autonomous image recognition and natural language processing as early as the 1980s. We’ve been working for decades […] The post Neuro Symbolic AI: Enhancing Common Sense in AI appeared first on Analytics Vidhya.

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Towards AI

JANUARY 29, 2025

Originally published on Towards AI. Along the way, expect a healthy dose of tea-fueled humor, cultural references, and some personal tales from my own adventures in AI research. Now, lets meet our first knight: Scaled-Up Deep Learning the tech equivalent of supersize me. Author(s): Mohit Sewak, Ph.D.

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Pickl AI

JANUARY 26, 2025

Summary: Deep Learning models revolutionise data processing, solving complex image recognition, NLP, and analytics tasks. Introduction Deep Learning models transform how we approach complex problems, offering powerful tools to analyse and interpret vast amounts of data. With a projected market growth from USD 6.4

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Towards AI

DECEMBER 18, 2024

Last Updated on December 19, 2024 by Editorial Team Author(s): Mukundan Sankar Originally published on Towards AI. Photo by Mahdis Mousavi on Unsplash Do you want to get into machine learning? I have been in the Data field for over 8 years, and Machine Learning is what got me interested then, so I am writing about this!

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Marktechpost

JULY 26, 2024

Deep learning has demonstrated remarkable success across various scientific fields, showing its potential in numerous applications. Sparsity in neural networks is one of the critical areas being investigated, as it offers a way to enhance the efficiency and manageability of these models.

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Marktechpost

MAY 20, 2024

Deep learning is a subset of machine learning that involves training neural networks with multiple layers to recognize patterns and make data-based decisions. It allows learners to apply these skills to real-world AI cases, gaining theoretical and practical knowledge to advance their careers in AI technology.

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Marktechpost

JANUARY 20, 2025

AI and ML are expanding at a remarkable rate, which is marked by the evolution of numerous specialized subdomains. Recently, two core branches that have become central in academic research and industrial applications are Generative AI and Predictive AI. Ian Goodfellow et al.

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Unite.AI

FEBRUARY 25, 2025

the AI company revolutionizing automated logical reasoning, has announced the release of ImandraX, its latest advancement in neurosymbolic AI reasoning. ImandraX pushes the boundaries of AI by integrating powerful automated reasoning with AI agents, verification frameworks, and real-world decision-making models.

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Marktechpost

MARCH 10, 2025

Deep neural networks’ seemingly anomalous generalization behaviors, benign overfitting, double descent, and successful overparametrization are neither unique to neural networks nor inherently mysterious. However, deep learning remains distinctive in specific aspects.

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Unite.AI

JUNE 25, 2023

In a pioneering effort to further enhance AI capabilities, researchers from UCLA and the United States Army Research Laboratory have unveiled a unique approach that marries physics-awareness with data-driven techniques in AI-powered computer vision technologies.

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Analytics Vidhya

JULY 22, 2024

Introduction In this article, we dive into the top 10 publications that have transformed artificial intelligence and machine learning. We’ll take you through a thorough examination of recent advancements in neural networks and algorithms, shedding light on the key ideas behind modern AI.

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AI Weekly

NOVEMBER 23, 2023

techcrunch.com Sponsor Where AI meets the world: SuperAI | 28-29 February 2024, Singapore Join 5,000+ attendees for the premier AI event, 28-29 Feb 2024 in Singapore. Connect with industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies. Be ready for a twofer.

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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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