Analytics Vidhya

FEBRUARY 21, 2023

To recognize and analyze content in online social networks (OSNs), there is a need for more effective techniques and tools, especially for those who […] The post Topic Modeling Using Latent Dirichlet Allocation (LDA) appeared first on Analytics Vidhya.

Data Analysis 200

Data Analysis Algorithm NLP Python 200

Unite.AI

SEPTEMBER 8, 2023

The Assistant is an excellent way to source the latest articles on topics you can share with your followers online. Social Media Scheduler ContentStudio's social media publisher allows you to schedule and publish posts across multiple social networks. Your best-performing social networks and posts.

AI Tools 298

AI Tools AI AI Artificial Intelligence 298

Marktechpost

MAY 5, 2024

The course covers numerous algorithms of supervised and unsupervised learning and also teaches how to build neural networks using TensorFlow. It covers topics such as clustering, predictive modeling, and advanced methods like ensemble learning using the scikit-learn toolkit.

Machine Learning 116

Machine Learning Python Neural Network Convolutional Neural Networks 116

Flipboard

SEPTEMBER 29, 2023

The article covers essential steps from installation to advanced topics, offering a hands-on approach to building and training neural networks, and emphasizing the benefits of using Lightning. This tutorial provides an in-depth introduction to machine learning using PyTorch and its high-level wrapper, PyTorch Lightning.

Neural Network 152

Neural Network Machine Learning 152

Unite.AI

NOVEMBER 17, 2023

And then for reasons of latency, privacy, and cost-efficiency, the internet moved to the network edge, giving rise to the “internet of things.” And for applications like driver assist, personal computer software, videoconferencing and security, constantly moving data over a network can be a privacy risk.

Generative AI 305

Generative AI Neural Network Automation AI 305

Unite.AI

NOVEMBER 6, 2023

Neural Network: Moving from Machine Learning to Deep Learning & Beyond Neural network (NN) models are far more complicated than traditional Machine Learning models. Advances in neural network techniques have formed the basis for transitioning from machine learning to deep learning.

Machine Learning 204

Machine Learning Neural Network Deep Learning Convolutional Neural Networks 204

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 197

Neural Network Convolutional Neural Networks Robotics Deep Learning 197

NVIDIA

MARCH 14, 2024

Transforming AI: Hear more from Huang as he discusses the origins and impact of transformer neural network architecture with its creators and industry pioneers. Be Part of What Comes Next: Engage from March 17-21 in workshops and peer networking and connect with the experts. GTC is more than just a conference.

Neural Network 145

Neural Network Robotics AI AI 145

AI Weekly

DECEMBER 14, 2023

medium.com Applied use cases ‘Nudify’ Apps That Use AI to ‘Undress’ Women in Photos Are Soaring in Popularity Many of these undressing, or “nudify,” services use popular social networks for marketing, according to Graphika. nytimes.com Microsoft unveils 2.7B parameter language model Phi-2 Microsoft’s 2.7 Who's a good boy?

AI Chatbots 211

AI Chatbots Chatbots Robotics Large Language Models 211

Towards AI

JANUARY 8, 2024

Stepping through theory, background, and code examples Neural networks have gained incredible attention over the last decade (despite being around for much longer), and seem to have made incredible progress in the eyes of the public. What are types of neural networks?What What are applications of neural networks?Activation

Deep Learning 100

Deep Learning Neural Network Artificial Intelligence Artificial Intelligence 100

Towards AI

JANUARY 9, 2024

In this post, we will take a look at the feedforward neural network. The first mainstream model was the feedforward neural network (FNN), which propelled the field of AI into the public’s perception. We’ll discuss the training process, and finally, we code our own neural network using the Keras library.

Neural Network 107

Neural Network Large Language Models Artificial Intelligence Artificial Intelligence 107

Unite.AI

JANUARY 19, 2024

Traditionally, models for single-view object reconstruction built on convolutional neural networks have shown remarkable performance in reconstruction tasks. In recent years, single-view 3D reconstruction has emerged as a popular research topic in the AI community.

Convolutional Neural Networks 130

Convolutional Neural Networks Neural Network Explainability Categorization 130

AI Weekly

NOVEMBER 30, 2023

nature.com Research Examining the mind's eye of a neural network system A new tool developed at Purdue University makes finding those errors as simple as spotting mountaintops from an airplane. In this sense, the consumer-facing generative artificial intelligence tool isn’t dissimilar from Clarence Thomas or Sam Alito.

Neural Network 209

Neural Network OpenAI Robotics ChatGPT 209

Marktechpost

APRIL 28, 2024

It covers various topics like graph search algorithms, classification, optimization, machine learning, and large language models with the help of hands-on projects, allowing the students to incorporate them into their own Python programs. It also covers topics like generative AI and its applications, as well as prompt engineering.

Artificial Intelligence 108

Artificial Intelligence Artificial Intelligence Prompt Engineer Prompt Engineering 108

Marktechpost

JULY 21, 2023

Researchers experimented in two stages: interview conversation under three topics (self-introduction topic, supervisor topic, and campus life topic) and a questionnaire evaluation. In Study 1, researchers used the facial emotion detection method to analyze the emotional features from the recorded video frames.

Convolutional Neural Networks 98

Convolutional Neural Networks Machine Learning AI Researcher AI Research 98

Marktechpost

MARCH 31, 2024

These books cover a range of topics from foundational knowledge in data analysis and manipulation to advanced insights into machine learning and AI. The book covers topics like supervised learning, unsupervised learning, neural networks, support vector machines, etc. It is an ideal book for picking up coding in R.

Data Science 118

Data Science Data Mining Neural Network Machine Learning 118

Unite.AI

FEBRUARY 23, 2024

The journey continues with “NLP and Deep Learning,” diving into the essentials of Natural Language Processing , deep learning's role in NLP, and foundational concepts of neural networks. Up-to-Date Industry Topics : Includes the latest developments in AI models and their applications.

Prompt Engineer 272

Prompt Engineer Prompt Engineering Large Language Models Generative AI 272

AI Weekly

DECEMBER 7, 2023

Discover what the most trusted industry experts are reading to expand your knowledge by choosing from 10 AI topics : AI General News | AI Ethics | AI Applied Use Cases | AI Robotics | AI Research | AI Marketing | AI Healthcare | AI Cybersecurity | AI For Good | Business of AI | Interested in sponsorship opportunities?

Convolutional Neural Networks 202

Convolutional Neural Networks AI Modeling Robotics ChatGPT 202

Marktechpost

APRIL 29, 2024

It teaches data science through Python and covers its libraries, such as matplotlib, pandas, nltk, scikit-learn, and networkx, covering topics like information visualization, text analysis, and social network analysis. Applied Data Science with Python Specialization This course is ideal for learners with a basic programming background.

Data Science 125

Data Science Data Scientist Python Machine Learning 125

Marktechpost

DECEMBER 30, 2023

While PDE discovery seeks to determine a PDE’s coefficients from data, PDE solvers use neural networks to approximate a known PDE’s solution. The team has shared that operator learning makes use of a variety of neural network topologies, and it’s important to comprehend which ones are chosen. Check out the Paper.

Neural Network 126

Neural Network Deep Learning Computer Vision Machine Learning 126

Unite.AI

OCTOBER 31, 2023

Before diffusion models, Generative Adversarial Networks (GANs) were the go-to technology for generating realistic images. This process has proven to be effective and less resource-intensive, making diffusion models a hot topic in the AI community. They have transformed text-to-image models, leading to drastic performance improvements.

OpenAI 264

OpenAI ChatGPT Neural Network Prompt Engineer 264

Towards AI

APRIL 7, 2024

Deep learning multiple– layer artificial neural networks are the basis of deep learning, a subdivision of machine learning (hence the word “deep”). Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are two examples of deep learning methods that are being used more and more in GIS applications.

Machine Learning 86

Machine Learning Neural Network Convolutional Neural Networks Deep Learning 86

Towards AI

MARCH 29, 2024

It covers a wide range of topics, from optimizing Neural Networks for a particular hardware platform to new fabrication methods for building new hardware for AI applications. The conference lasted three (very intensive) days, with cutting-edge paper presentations and keynotes from academic and industry leaders.

Neural Network 78

Neural Network Large Language Models Explainability Automation 78

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 core idea of the method involves utilizing the codebook to identify the top-k most similar vectors for the network’s activations.

Neural Network 115

Neural Network Natural Language Processing AI AI 115

Towards AI

APRIL 1, 2024

Step further: Then, I’ll discuss the basics of traditional models such as the time series autoregression model, Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM) units, important for capturing how sequential data is processed. Game changer: The focus will shift to the Transformers.

Neural Network 81

Neural Network Natural Language Processing Machine Learning AI 81

AI Weekly

AUGUST 10, 2023

a neural network that learns the best action to perform at each moment based on a series of rewards—allows autonomous vehicles and underwater robots to locate and carefully track marine objects and animals. We speak around 6,500 languages, and they're all easier to translate than what comes out of a finch.

Neural Network 208

Neural Network Natural Language Processing Robotics Deep Learning 208

AI Weekly

MARCH 21, 2024

It introduces Temporal Convolutional Networks (TCN) for short texts, investigates the effectiveness of combining Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN), and explores the use of an Autoencoder combined with Adaboost classifier.

Convolutional Neural Networks 193

Convolutional Neural Networks Robotics Artificial Intelligence Artificial Intelligence 193

Towards AI

MARCH 27, 2024

RAG combines the power of retrieval systems with the generative capabilities of neural networks to enhance the performance of language models. If you prefer to watch a video on RAG instead of reading, here is my YouTube video covering the topic of this article. There are two ways you can target this problem.

Neural Network 75

Neural Network Large Language Models LLM AI 75

Unite.AI

SEPTEMBER 5, 2023

Summary for Thought Leadership Article Prompt: “Create a summary for a thought leadership article titled ‘[Your Article Title]' on [Topic of Expertise]. Mention the events' names, dates, and what topics like [Topic 1, Topic 2] will be covered.” Best for Platforms: LinkedIn, Twitter, Facebook 4.

ChatGPT 279

ChatGPT Prompt Engineer Prompt Engineering Automation 279

ODSC - Open Data Science

SEPTEMBER 5, 2023

This condensed schedule allows you to explore different subjects and topics to find your passion before deciding to leave your job for a longer program. Content At mini-bootcamps like ODSC West’s , you’ll be exposed to an unprecedented breadth and depth of topics.

Data Science 97

Data Science Data Scientist Generative AI NLP 97

Unite.AI

FEBRUARY 8, 2024

This importance has made object segmentation a consistently hot research topic, with significant work done in areas like instance segmentation, semantic segmentation, and panoptic segmentation. The TinySAM framework distills the student network in an end to end manner under the supervision of the teacher network from different stages.

Computer Vision 162

Computer Vision Artificial Intelligence Artificial Intelligence 162

Towards AI

MARCH 11, 2024

U+1F525 Overview of the Course Structure U+1F9F5 Introduction to TensorsCreating TensorsRetrieving Information from TensorsManipulating TensorsHandling Tensor ShapesMatrix Multiplication in Depth To be a master in Deep Learning topics, one should know tensor multiplications deeply. Dealing with… Read the full blog for free on Medium.

Neural Network 81

Neural Network Deep Learning Machine Learning AI 81

AI News

AUGUST 21, 2023

Roundtable discussions delved into critical topics such as AI regulation and governance, investment strategies, the potential impact of AI across various sectors, and its role as a force for positive change. Following the policy roundtable, an AI Week reception was held at the Ambassador’s Residence.

Big Data 182

Big Data AI Strategy AI AI 182

ODSC - Open Data Science

FEBRUARY 13, 2023

A few standout topics include model deployment and inferencing, MLOps, and multi-cloud machine learning. How Deep Neural Networks Work and How We Put Them to Work at Facebook Deep learning is the technology driving today’s artificial intelligence boom. You won’t need any background in math, programming, or machine learning.

Neural Network 98

Neural Network Convolutional Neural Networks Deep Learning Machine Learning 98

Marktechpost

MAY 19, 2024

The Transformer neural network architecture, on which LLMs are based, uses autoregressive learning to anticipate the word that will appear next in a series. Researchers have been looking at a variety of topics to have a deeper understanding of the power of LLMs. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup.

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IBM Journey to AI blog

NOVEMBER 30, 2023

Knowing the rates at which vegetation is likely to grow along the grid network aids in effective vegetation management planning. Subscribe to receive sustainability topics in your inbox The post 6 climate change adaptation strategies every organization needs today appeared first on IBM Blog.

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239

AI Weekly

MARCH 7, 2024

nature.com Researchers reach new AI benchmark for computer graphics Computer graphic simulations can represent natural phenomena such as tornados, underwater, vortices, and liquid foams more accurately thanks to an advancement in creating AI neural networks. techxplore.com Exploring the Synergy of AI and Robotics in Industry 4.0 applications.

Robotics 236

Robotics Artificial Intelligence Artificial Intelligence Software Development 236