Pickl AI

FEBRUARY 17, 2025

Summary: Machine Learning’s key features include automation, which reduces human involvement, and scalability, which handles massive data. Introduction: The Reality of Machine Learning Consider a healthcare organisation that implemented a Machine Learning model to predict patient outcomes based on historical data.

Machine Learning 52

Machine Learning Algorithm Explainability Data Quality 52

AI News

OCTOBER 8, 2024

As artificial intelligence systems increasingly permeate critical decision-making processes in our everyday lives, the integration of ethical frameworks into AI development is becoming a research priority. ” Bottom-up approach : A newer method that uses machine learning to extract rules from data.

Artificial Intelligence 319

Artificial Intelligence Artificial Intelligence Explainability Big Data 319

Marktechpost

APRIL 24, 2024

To ensure practicality, interpretable AI systems must offer insights into model mechanisms, visualize discrimination rules, or identify factors that could perturb the model. Explainable AI (XAI) aims to balance model explainability with high learning performance, fostering human understanding, trust, and effective management of AI partners.

Explainable AI 114

Explainable AI Explainability Neural Network Data Scientist 114

IBM Journey to AI blog

AUGUST 9, 2024

What is predictive AI? Predictive AI blends statistical analysis with machine learning algorithms to find data patterns and forecast future outcomes. These adversarial AI algorithms encourage the model to generate increasingly high-quality outputs.

Generative AI 301

Generative AI Explainability AI AI 301

Flipboard

DECEMBER 3, 2024

When you visit a hospital, artificial intelligence (AI) models can assist doctors by analysing medical images or predicting patient outcomes based on …

Explainable AI 142

Explainable AI Explainability Algorithm Artificial Intelligence 142

Flipboard

FEBRUARY 14, 2025

Hemant Madaan, an expert in AI/ML and CEO of JumpGrowth, explores the ethical implications of advanced language models. Artificial intelligence (AI) has become a cornerstone of modern business operations, driving efficiencies and delivering insights across various sectors. However, as AI systems

Explainable AI 128

Explainable AI Explainability Algorithm Artificial Intelligence 128

AI Weekly

OCTOBER 12, 2023

techspot.com Applied use cases Study employs deep learning to explain extreme events Identifying the underlying cause of extreme events such as floods, heavy downpours or tornados is immensely difficult and can take a concerted effort by scientists over several decades to arrive at feasible physical explanations.

Robotics 264

Robotics Large Language Models Deep Learning Artificial Intelligence 264

Towards AI

FEBRUARY 3, 2024

(Left) Photo by Pawel Czerwinski on Unsplash U+007C (Right) Unsplash Image adjusted by the showcased algorithm Introduction It’s been a while since I created this package ‘easy-explain’ and published on Pypi. A few weeks ago, I needed an explainability algorithm for a YoloV8 model. The truth is, I couldn’t find anything.

Explainability 126

Explainability Explainable AI Neural Network Algorithm 126

AI Weekly

OCTOBER 3, 2024

bbc.com AI technology uncovers ancient secrets hidden in the Arabian Desert AI is helping archaeologists uncover ancient secrets in the vast Rub al-Khali desert. By leveraging advanced radar and machine learning, researchers can now detect hidden structures and broaden the reach of archaeological discovery.

Robotics 264

Robotics Artificial Intelligence Artificial Intelligence Explainability 264

Marktechpost

AUGUST 7, 2024

The Role of Explainable AI in In Vitro Diagnostics Under European Regulations: AI is increasingly critical in healthcare, especially in vitro diagnostics (IVD). The European IVDR recognizes software, including AI and ML algorithms, as part of IVDs.

Explainable AI 107

Explainable AI Explainability Neural Network Algorithm 107

Unite.AI

DECEMBER 27, 2024

Its because the foundational principle of data-centric AI is straightforward: a model is only as good as the data it learns from. No matter how advanced an algorithm is, noisy, biased, or insufficient data can bottleneck its potential. Another promising development is the rise of explainable data pipelines.

Data Quality 130

Data Quality Data Drift Explainability Big Data 130

Towards AI

MARCH 17, 2024

It is also garnering massive popularity in organizations and enterprises, with every corner of every business implementing LLMs, Stable Diffusion, and the next trendy AI product. Alongside this, there is a second boom in XAI or Explainable AI. Interpretability — Explaining the meaning of a model/model decisions to humans.

Explainable AI 105

Explainable AI Explainability Neural Network AI 105

Pickl AI

AUGUST 28, 2024

Summary: This comprehensive guide covers the basics of classification algorithms, key techniques like Logistic Regression and SVM, and advanced topics such as handling imbalanced datasets. It also includes practical implementation steps and discusses the future of classification in Machine Learning. What is Classification?

Machine Learning 52

Machine Learning Algorithm Categorization Neural Network 52

Marktechpost

AUGUST 24, 2023

In the fast-paced world of Artificial Intelligence (AI) and Machine Learning, staying updated with the latest trends, breakthroughs, and discussions is crucial. Here’s our curated list of the top AI and Machine Learning-related subreddits to follow in 2023 to keep you in the loop. With over 2.5

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence Machine Learning Computer Vision 97

Unite.AI

APRIL 9, 2024

Composite AI is a cutting-edge approach to holistically tackling complex business problems. These techniques include Machine Learning (ML), deep learning , Natural Language Processing (NLP) , Computer Vision (CV) , descriptive statistics, and knowledge graphs.

Composite AI 182

Composite AI Explainability Black Box AI Neural Network 182

Pickl AI

JANUARY 12, 2025

Define AI-driven Practices AI-driven practices are centred on processing data, identifying trends and patterns, making forecasts, and, most importantly, requiring minimum human intervention. Data forms the backbone of AI systems, feeding into the core input for machine learning algorithms to generate their predictions and insights.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Explainability Explainable AI 52

Towards AI

FEBRUARY 13, 2024

Introduction It’s been a while since I created this package ‘easy-explain’ and published it on Pypi. GradCam is a widely used Explainable AI method that has been extensively discussed in both forums and literature. The plotting functionality is also included, so you only need to run a few lines of code.

Explainability 105

Explainability Explainable AI AI AI 105

IBM Journey to AI blog

JUNE 26, 2023

It’s like having a conversation with a very smart machine. What is generative AI? Generative AI uses an advanced form of machine learning algorithms that takes users prompts and uses natural language processing (NLP) to generate answers to almost any question asked. What is watsonx.governance?

Generative AI 203

Generative AI Explainability Explainable AI Natural Language Processing 203

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

Marktechpost

MAY 8, 2024

Among the main advancements in AI, seven areas stand out for their potential to revolutionize different sectors: neuromorphic computing, quantum computing for AI, Explainable AI (XAI), AI-augmented design and Creativity, Autonomous Vehicles and Robotics, AI in Cybersecurity and AI for Environmental Sustainability.

Artificial Intelligence 130

Artificial Intelligence Artificial Intelligence Robotics Machine Learning 130

Unite.AI

SEPTEMBER 20, 2024

While these systems streamlined processes, they were restricted due to their inability to learn or adapt over time. The emergence of machine learning and Natural Language Processing (NLP) in the 1990s led to a pivotal shift in AI. Over the past ten years, AI has become a reality in financial analysis.

Machine Learning 130

Machine Learning Large Language Models NLP Deep Learning 130

NYU Center for Data Science

JUNE 16, 2023

A PhD candidate in the Machine Learning Group at the University of Cambridge advised by Adrian Weller , Umang will continue to pursue research in trustworthy machine learning, responsible artificial intelligence, and human-machine collaboration at NYU. By Meryl Phair

Machine Learning 119

Machine Learning Explainability Artificial Intelligence Artificial Intelligence 119

How to Learn Machine Learning

JUNE 9, 2024

The thought of machine learning and AI will definitely pop into your mind when the conversation is about emerging technologies. Today, we see tools and systems with machine-learning capabilities in almost every industry. Finance institutions are using machine learning to overcome healthcare fraud challenges.

Machine Learning 52

Machine Learning Explainable AI ML Explainability 52

Pickl AI

NOVEMBER 18, 2024

Summary: The blog provides a comprehensive overview of Machine Learning Models, emphasising their significance in modern technology. It covers types of Machine Learning, key concepts, and essential steps for building effective models. The global Machine Learning market was valued at USD 35.80

Machine Learning 52

Machine Learning Algorithm Data Quality Neural Network 52

IBM Journey to AI blog

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Explainable AI — Explainable AI is achieved when an organization can confidently and clearly state what data an AI model used to perform its tasks.

Data Scientist 234

Data Scientist Metadata Explainability Responsible AI 234

TransOrg Analytics

FEBRUARY 11, 2025

As AI continues integrating into every aspect of society, the need for Explainable AI (XAI) becomes increasingly important. Understanding the AI Black Box Problem AI enables machines to mimic human intelligence by learning, reasoning, and making decisions. What is Explainable AI?

Explainable AI 52

Explainable AI Explainability Convolutional Neural Networks Neural Network 52

Pickl AI

AUGUST 14, 2024

Summary: Neural networks are a key technique in Machine Learning, inspired by the human brain. They consist of interconnected nodes that learn complex patterns in data. Reinforcement Learning: An agent learns to make decisions by receiving rewards or penalties based on its actions within an environment.

Neural Network 52

Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 52

How to Learn Machine Learning

APRIL 4, 2025

AI and Cybersecurity: Now, AI is a critical tool in cybersecurity, and AI-driven security systems can detect anomalies, predict breaches, and respond to threats in real-time. ML algorithms will analyze vast datasets and identify patterns which indicate potential cyberattacks, and reduce response times and prevent data breaches.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Automation Explainable AI 52

Marktechpost

JULY 6, 2023

As a result of recent technological advances in machine learning (ML), ML models are now being used in a variety of fields to improve performance and eliminate the need for human labor. As a result, it becomes necessary for humans to comprehend these algorithms and their workings on a deeper level.

Explainable AI 52

Explainable AI Explainability Neural Network Machine Learning 52

Aiiot Talk

JULY 7, 2023

AI is today’s most advanced form of predictive maintenance, using algorithms to automate performance and sensor data analysis. Aircraft owners or technicians set up the algorithm with airplane data, including its key systems and typical performance metrics. One of the main risks associated with AI is its black-box nature.

Black Box AI 130

Black Box AI Algorithm Explainability Explainable AI 130

Unite.AI

MARCH 18, 2024

Some of key ingredients of such an approach are highlighted below: Robust Data Verification : This step entails implementation of stringent processes to validate the accuracy, relevance, and quality of the data, filtering out harmful AI-generated content before it reaches AI models.

Data Integration 189

Data Integration AI AI Generative AI 189

Unite.AI

JULY 1, 2024

Transparency and Explainability Enhancing transparency and explainability is essential. Techniques such as model interpretability frameworks and Explainable AI (XAI) help auditors understand decision-making processes and identify potential issues.

Explainability 182

Explainability BERT AI AI 182

Heartbeat

SEPTEMBER 13, 2023

This guide will buttress explainability in machine learning and AI systems. It will also explore various explainability techniques and tools facilitating explainability operations. What is Explainability? This analysis helps to identify features that may introduce bias into the model's decisions.

Machine Learning 52

Machine Learning Explainability Deep Learning Explainable AI 52

IBM Journey to AI blog

JULY 17, 2023

While traditional AI approaches provide customers with quick service, they have their limitations. Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. Watsonx.ai

Generative AI 171

Generative AI Auto-complete Automation AI 171

Unite.AI

APRIL 22, 2024

AI-driven telehealth platforms, employing tools like chatbots, autonomously handle patient interactions, schedule appointments, and deliver medical information. With more than 13 million global users, Ada Health exemplifies transparent, explainable AI in healthcare, providing clear insights into the diagnostic process.

Chatbots 182

Chatbots Artificial Intelligence Artificial Intelligence Natural Language Processing 182

Viso.ai

FEBRUARY 12, 2024

True to its name, Explainable AI refers to the tools and methods that explain AI systems and how they arrive at a certain output. Artificial Intelligence (AI) models assist across various domains, from regression-based forecasting models to complex object detection algorithms in deep learning.

Explainable AI 52

Explainable AI Explainability Deep Learning Neural Network 52

Dlabs.ai

MAY 22, 2022

According to BCC research, the machine learning market will grow to $90.1 Given the data, it’s little surprise that many people want to learn more about AI and ML and, in turn, develop the necessary skills to become a machine learning engineer. billion by 2026 , an almost 40% uptick in five years.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Data Scientist 52