Analytics Vidhya

FEBRUARY 4, 2023

NLP has proven to be […] The post Extracting Medical Information From Clinical Text With NLP appeared first on Analytics Vidhya.

NLP 291

NLP Natural Language Processing Artificial Intelligence Artificial Intelligence 291

Unite.AI

DECEMBER 17, 2024

farms, boosting the productivity of labor-intensive tasks like picking and plowing while providing data-driven insights to make informed decisions that can boost crop health and improve yields. To help aging and short-staffed growers, AI and robotics are becoming ever more common across U.S.

Computer Vision 289

Computer Vision Robotics AI AI 289

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. By the end, you’ll understand why autoencoders are essential tools in Deep Learning and how they can be applied across different fields.

Deep Learning 52

Deep Learning Neural Network Natural Language Processing Computer Vision 52

Marktechpost

FEBRUARY 15, 2025

Quantization is a crucial technique in deep learning for reducing computational costs and improving model efficiency. The training process incorporates co-training and co-distillation, ensuring that the int2 representation retains critical information typically lost in conventional quantization.

Deep Learning 96

Deep Learning Conversational AI LLM ML 96

Unite.AI

JANUARY 24, 2025

Claudionor Coelho is the Chief AI Officer at Zscaler, responsible for leading his team to find new ways to protect data, devices, and users through state-of-the-art applied Machine Learning (ML), Deep Learning and Generative AI techniques. He also held ML and deep learning roles at Google.

Deep Learning 246

Deep Learning Generative AI AI AI 246

Unite.AI

MARCH 2, 2025

For years, deep learning has relied on traditional dense layers, where every neuron in one layer is connected to every neuron in the next. This structure enables AI models to learn complex patterns, but it comes at a steep cost. Another problem with dense layers is that they struggle with knowledge updates.

Deep Learning 159

Deep Learning Neural Network Automation AI 159

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

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Natural Language Processing 52

Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon “You can have data without information but you cannot have information without data” – Daniel Keys Moran Introduction If you are here then you might be already interested in Machine Learning or Deep Learning so I need not explain what it is?

Deep Learning 318

Deep Learning Machine Learning Data Science Explainability 318

Analytics Vidhya

MAY 29, 2024

Introduction One of the most important tasks in natural language processing is text summarizing, which reduces long texts to brief summaries while maintaining important information. Their cutting-edge skills and contextual knowledge power […] The post How to Summarize Text with Transformer-based Models?

Natural Language Processing 305

Natural Language Processing Deep Learning NLP Python 305

AI News

JUNE 3, 2024

delivers accurate and relevant information, making it an indispensable tool for professionals in these fields. Harnessing the Power of Machine Learning and Deep Learning At TickLab, our innovative approach is deeply rooted in the advanced capabilities of machine learning (ML) and deep learning (DL).

Deep Learning 310

Deep Learning Artificial Intelligence Artificial Intelligence Machine Learning 310

Unite.AI

MARCH 19, 2025

But the power of GenAI is that it produces content based on data and information plus prompts and directions given by humans. Our formula for successful integration of GenAI is to start with deep learning models trained specifically on large banking datasets. Its an enhancement tool, not a replacement tool.

Automation 252

Automation Large Language Models Deep Learning Artificial Intelligence 252

Analytics Vidhya

MARCH 17, 2023

Introduction Welcome to the world of DataHour sessions, a series of informative and interactive webinars designed to empower individuals looking to build a career in the data-tech industry. These sessions cover a wide range of topics, from people analytics and conversational intelligence to deep learning and time series forecasting.

Deep Learning 318

Deep Learning 318

Marktechpost

NOVEMBER 17, 2024

While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled data, which is costly and time-consuming. Active learning helps optimize this process by selecting the most informative unlabeled samples for annotation, reducing the labeling effort.

Deep Learning 97

Deep Learning BERT Automation ML 97

Unite.AI

MARCH 12, 2025

Deep learning models further enhance security by detecting new cyberattacks based on subtle system anomalies. By employing deep learning algorithms, including Long Short-Term Memory (LSTM) networks, Amex significantly enhances its fraud detection capabilities.

Algorithm 194

Algorithm AI AI Deep Learning 194

Flipboard

MARCH 17, 2025

Understanding Query Parameters Query parameters allow users to send additional information as part of the URL. Path parameters are used when the URL needs to include dynamic information, such as an ID or a name. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated?

Python 153

Python Computer Vision Auto-complete Deep Learning 153

Analytics Vidhya

MAY 25, 2023

Enter autoencoders, deep learning‘s hidden heroes. These interesting neural networks can compress, reconstruct, and extract important information from data. Introduction Extracting important insights from complicated datasets is the key to success in the era of data-driven decision-making.

Neural Network 291

Neural Network Deep Learning Machine Learning 291

Analytics Vidhya

JULY 25, 2022

Introduction Computer Vision Is one of the leading fields of Artificial Intelligence that enables computers and systems to extract useful information from digital photos, movies, and other visual inputs. It uses Machine Learning-based Model Algorithms and Deep Learning-based Neural Networks for its implementation. […].

Neural Network 306

Neural Network Computer Vision Deep Learning Artificial Intelligence 306

Unite.AI

AUGUST 28, 2024

in Information Systems Engineering from Ben Gurion University and an MBA from the Technion, Israel Institute of Technology. Deep Instinct is a cybersecurity company that applies deep learning to cybersecurity. Deep Instinct uses a unique deep learning framework for its cybersecurity solutions.

Deep Learning 278

Deep Learning Explainability Neural Network Metadata 278

Unite.AI

NOVEMBER 20, 2024

Journalists do require some technical details, however, long-winded descriptions highlighting the complexity of your deep learning architecture or data quality will lead to you blending in with thousands of other tech-first firms. As with any evolving technology, there’s a great deal of education that needs to take place.

Deep Learning 147

Deep Learning Natural Language Processing Machine Learning AI 147

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. Learn more about NVIDIA Research at GTC.

Deep Learning 106

Deep Learning Neural Network Robotics Large Language Models 106

Flipboard

NOVEMBER 14, 2024

Deep learning worked,” he explained, and … “We have entered the Intelligence Age,” proclaimed Sam Altman, the chief executive of OpenAI, in September.

Deep Learning 160

Deep Learning Explainability OpenAI Artificial Intelligence 160

Unite.AI

FEBRUARY 21, 2025

At the core of its performance are its advanced reasoning models, powered by cutting-edge deep learning techniques. These models enable Grok-3 to process information with high accuracy, providing nuanced and contextually relevant responses that feel more human-like than ever before.

AI Chatbots 179

AI Chatbots Chatbots AI AI 179

Unite.AI

JANUARY 17, 2025

These systems use sophisticated algorithms, including machine learning and deep learning, to analyze data, identify patterns, and make informed decisions. This reasoning process is dynamic, allowing the AI to adapt to new information and changing circumstances.

IDP 203

IDP Automation Robotics AI 203

AI News

AUGUST 9, 2024

To elaborate, Machine learning (ML) models – especially deep learning networks – require enormous amounts of data to train effectively, often relying on powerful GPUs or specialised hardware to process this information quickly. On the other hand, AI thrives on massive datasets and demands high-performance computing.

Deep Learning 363

Deep Learning AI AI Machine Learning 363

AssemblyAI

SEPTEMBER 4, 2024

  Today, deep learning technology, heavily influenced by Baidu’s seminal paper Deep Speech: Scaling up end-to-end speech recognition , dominates the field. In the next section, we’ll discuss how these deep learning approaches work in more detail. How does speech recognition work?

Deep Learning 306

Deep Learning Auto-complete Machine Learning Natural Language Processing 306

Flipboard

FEBRUARY 10, 2025

Multimodal Capabilities in Detail Configuring Your Development Environment Project Structure Implementing the Multimodal Chatbot Setting Up the Utilities (utils.py) Designing the Chatbot Logic (chatbot.py) Building the Interface (app.py) Summary Citation Information Building a Multimodal Gradio Chatbot with Llama 3.2 Introducing Llama 3.2

Chatbots 149

Chatbots Computer Vision Deep Learning Large Language Models 149

AI Weekly

AUGUST 10, 2023

siliconangle.com Sponsor Make Smarter Business Decisions with The Information Looking for a competitive edge in the world of business? The Information offers access to exclusive insights from the industry's top journalists. For a limited time, subscribe and save 25% on your first year. Subscribe today!] 1.41%) (BRK.B 1.41%) (BRK.B

Neural Network 246

Neural Network Natural Language Processing Deep Learning Robotics 246

Unite.AI

SEPTEMBER 18, 2023

To prevent these scenarios, protection of data, user assets, and identity information has been a major focus of the blockchain security research community, as to ensure the development of the blockchain technology, it is essential to maintain its security.

Deep Learning 321

Deep Learning Artificial Intelligence Artificial Intelligence AI 321

AI Weekly

DECEMBER 19, 2024

In the News Perplexitys Erroneous AI Election Info On the heels of the 2024 US presidential election, AI search startup Perplexity launched a new platform that aims to keep track of election results and offer information about candidates, their policies and endorsements in the form of AI-generated summaries. Lets simplify it.

Robotics 147

Robotics Artificial Intelligence Artificial Intelligence Deep Learning 147

Marktechpost

OCTOBER 28, 2024

By inputting different prompts, users can observe the model’s ability to generate human-quality text, translate languages, write various kinds of creative content, and answer your questions in an informative way. It’s a valuable tool for anyone interested in learning about deep learning and machine learning.

Neural Network 107

Neural Network Natural Language Processing Deep Learning Machine Learning 107

AssemblyAI

MARCH 21, 2023

Traditional AI methods have been designed to extract information from objects encoded by somewhat “rigid” structures. The goal was to use AI models to predict the antibiotic activity of molecules by learning their graph representations, this way capturing their potential antibiotic activity.

Neural Network 317

Neural Network Deep Learning AI AI 317

AI Weekly

OCTOBER 26, 2023

cryptopolitan.com Applied use cases Alluxio rolls out new filesystem built for deep learning Alluxio Enterprise AI is aimed at data-intensive deep learning applications such as generative AI, computer vision, natural language processing, large language models and high-performance data analytics. voxeurop.eu

Neural Network 262

Neural Network Convolutional Neural Networks Robotics Deep Learning 262

Unite.AI

DECEMBER 26, 2024

These deep learning algorithms get data from the gyroscope and accelerometer inside a wearable device ideally worn around the neck or at the hip to monitor speed and angular changes across three dimensions.

Convolutional Neural Networks 147

Convolutional Neural Networks Algorithm Neural Network Computer Vision 147

Unite.AI

JUNE 25, 2023

.” Incorporating Physics into Computer Vision AI The research team outlines three innovative ways to integrate physics into computer vision AI: Infusing physics into AI data sets: This involves tagging objects with additional information, such as their potential speed or weight, akin to characters in video games.

Computer Vision 361

Computer Vision Robotics Neural Network Hybrid AI 361

PyImageSearch

DECEMBER 9, 2024

Citation Information 3D Gaussian Splatting vs NeRF: The End Game of 3D Reconstruction? In this tutorial, you will learn about 3D Gaussian Splatting. With that, the resulting 3D models often lack detailed textures, colors, and other essential information. You can sign up here: [link] Citation Information Cohen, J.

Computer Vision 101

Computer Vision Deep Learning Explainability Algorithm 101

Unite.AI

OCTOBER 12, 2023

research scientist with over 16 years of professional experience in the fields of speech/audio processing and machine learning in the context of Automatic Speech Recognition (ASR), with a particular focus and hands-on experience in recent years on deep learning techniques for streaming end-to-end speech recognition.

Machine Learning 278

Machine Learning Deep Learning Conversational AI Data Quality 278

Unite.AI

JANUARY 18, 2025

This parallelism is critical for deep learning tasks, where training and inference involve large batches of data. Just as billions of neurons and synapses process information in parallel, an NPU is composed of numerous processing elements capable of simultaneously handling large datasets.

Generative AI 147

Generative AI Neural Network Robotics Natural Language Processing 147