Marktechpost

JANUARY 19, 2024

Neural network-based methods in estimating biological age have shown high accuracy but lack interpretability, prompting the development of a biologically informed tool for interpretable predictions in prostate cancer and treatment resistance. The most noteworthy result was probably obtained for the pan-tissue dataset.

Neural Network 111

Neural Network Deep Learning Explainable AI Machine Learning 111

IBM Journey to AI blog

AUGUST 9, 2024

Many generative AI tools seem to possess the power of prediction. Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. But generative AI is not predictive AI. But generative AI is not predictive AI. What is generative AI? What is predictive AI?

Generative AI 301

Generative AI Explainability AI AI 301

Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

Composite AI 182

Composite AI Explainability Black Box AI Explainable AI 182

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

Pickl AI

SEPTEMBER 3, 2024

Summary: Artificial Neural Network (ANNs) are computational models inspired by the human brain, enabling machines to learn from data. Introduction Artificial Neural Network (ANNs) have emerged as a cornerstone of Artificial Intelligence and Machine Learning , revolutionising how computers process information and learn from data.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Pickl AI

AUGUST 14, 2024

Summary: Neural networks are a key technique in Machine Learning, inspired by the human brain. Different types of neural networks, such as feedforward, convolutional, and recurrent networks, are designed for specific tasks like image recognition, Natural Language Processing, and sequence modelling.

Neural Network 52

Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 52

Towards AI

OCTOBER 3, 2024

Last Updated on October 5, 2024 by Editorial Team Author(s): Shashwat Gupta Originally published on Towards AI. Yet, despite these advancements, AI still faces significant limitations — particularly in adaptability, energy consumption, and the ability to learn from new situations without forgetting old information.

Neural Network 124

Neural Network Algorithm Continuous Learning AI 124

Unite.AI

JANUARY 12, 2024

The field of artificial intelligence (AI) has seen tremendous growth in 2023. Generative AI, which focuses on creating realistic content like images, audio, video and text, has been at the forefront of these advancements. Rumored projects like OpenAI's Q* hint at combining conversational AI with reinforcement learning.

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Generative AI Neural Network ChatGPT OpenAI 189

TransOrg Analytics

FEBRUARY 11, 2025

These are just a few ways Artificial Intelligence (AI) silently influences our daily lives. As AI continues integrating into every aspect of society, the need for Explainable AI (XAI) becomes increasingly important. What is Explainable AI? Why is Explainable AI Important?

Explainable AI 52

Explainable AI Explainability Convolutional Neural Networks Neural Network 52

Marktechpost

JUNE 4, 2024

Modern Deep Neural Networks (DNNs) are inherently opaque; we do not know how or why these computers arrive at the predictions they do. An emerging area of study called Explainable AI (XAI) has arisen to shed light on how DNNs make decisions in a way that humans can comprehend. Check out the Paper.

Machine Learning 114

Machine Learning Neural Network Explainability Natural Language Processing 114

IBM Journey to AI blog

SEPTEMBER 24, 2024

Can AI help mitigate the impending agricultural crisis we’ll be facing over the next few decades? Dr. Abhisesh Silwal, a systems scientist at Carnegie Mellon University whose research focuses on AI and robotics in agriculture, thinks so. Well-trained computer vision models produce consistent quantitative data instantly.”

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Marktechpost

JULY 6, 2023

To put it briefly, interpretable AI models can be easily understood by humans by only looking at their model summaries and parameters without the aid of any additional tools or approaches. This is why when Explainable AI models can give a clear idea of why a decision was made but not how it arrived at that decision.

Explainable AI 52

Explainable AI Explainability Neural Network AI 52

Towards AI

JULY 22, 2023

Last Updated on July 24, 2023 by Editorial Team Author(s): Data Science meets Cyber Security Originally published on Towards AI. Let us go further into the enigmas of Artificial Intelligence, where AI is making waves like never before! So, don’t worry, this is where Explainable AI, also known as XAI, comes in.

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Marktechpost

NOVEMBER 30, 2023

Researchers from Lund University and Halmstad University conducted a review on explainable AI in poverty estimation through satellite imagery and deep machine learning. The review underscores the significance of explainability for wider dissemination and acceptance within the development community.

Deep Learning 98

Deep Learning AI Researcher AI Research Neural Network 98

Towards AI

NOVEMBER 15, 2024

Last Updated on November 16, 2024 by Editorial Team Author(s): Lamprini Papargyri Originally published on Towards AI. In October 2024, Google DeepMind’s SynthID tool for watermarking AI-generated text was released as open-source, marking a significant step forward in AI transparency.

Neural Network 92

Neural Network Explainable AI Explainability AI 92

Marktechpost

OCTOBER 15, 2024

XAI, or Explainable AI, brings about a paradigm shift in neural networks that emphasizes the need to explain the decision-making processes of neural networks, which are well-known black boxes.

Explainability 56

Explainability Explainable AI Python Neural Network 56

Towards AI

JULY 24, 2024

Author(s): saeed garmsiri Originally published on Towards AI. Well, get ready because we’re about to embark on another exciting exploration of explainable AI, this time focusing on Generative AI. This is where the concept of explainability comes into play. Explainable AI helps meet these regulatory requirements.

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Explainability Generative AI Explainable AI Neural Network 105

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

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Marktechpost

MARCH 11, 2024

However, understanding their information-flow dynamics, learning mechanisms, and interoperability remains challenging, limiting their applicability in sensitive domains requiring explainability. These matrices are leveraged to develop class-agnostic and class-specific tools for explainable AI of Mamba models.

Machine Learning 135

Machine Learning Explainability Neural Network Computer Vision 135

Dlabs.ai

AUGUST 16, 2022

That’s why 37% of companies already use AI , with nine in ten big businesses investing in AI technology. Still, not everyone can appreciate the benefits of AI. One of the major hurdles to AI adoption is that people struggle to understand how AI models work. This is the challenge that explainable AI solves.

Explainability 52

Explainability Explainable AI AI Modeling Artificial Intelligence 52

IBM Journey to AI blog

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications. Large language models (LLMs) have taken the field of AI by storm.

Large Language Models 238

Large Language Models DevOps Data Science AI Modeling 238

Towards AI

JULY 24, 2024

Author(s): saeed garmsiri Originally published on Towards AI. Well, get ready because we’re about to embark on another exciting exploration of explainable AI, this time focusing on Generative AI. This is where the concept of explainability comes into play. Explainable AI helps meet these regulatory requirements.

Explainability 98

Explainability Generative AI Explainable AI Neural Network 98

ODSC - Open Data Science

MARCH 10, 2025

AI and data science are advancing at a lightning-fast pace with new skills and applications popping up left and right. Through practical implementation, youll learn how to structure and index large datasets, integrate LangChain-based embeddings, and build AI systems that seamlessly retrieve and reason across multiple modalities.

Data Scientist 52

Data Scientist Data Science LLM Machine Learning 52

Marktechpost

MAY 12, 2024

Discover the best AI Fraud Prevention Tools and Software for detecting payment fraud, identifying identity theft, preventing insurance fraud, addressing cybersecurity threats, combating e-commerce fraud, and reducing banking and financial fraud. It is based on adjustable and explainable AI technology.

AI Tools 102

AI Tools Neural Network Artificial Intelligence Artificial Intelligence 102

Mlearning.ai

DECEMBER 31, 2023

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI). What is Explainable AI?

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Explainable AI Explainability Neural Network Black Box AI 52

Marktechpost

MAY 5, 2024

Understanding these mechanisms in advanced AI systems is crucial for ensuring their safety, and fairness, and minimizing biases and errors, especially in critical contexts. Existing surveys detail a range of techniques utilized in Explainable AI analyses and their applications within NLP.

Natural Language Processing 111

Natural Language Processing Categorization NLP Neural Network 111

IBM Journey to AI blog

JULY 6, 2023

Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with. Because data analysts often build machine learning models, programming and AI knowledge are also valuable. This led to the theory and development of AI. What is machine learning?

Data Science 175

Data Science Machine Learning Big Data Data Mining 175

NVIDIA

DECEMBER 13, 2023

And generative AI in the hands of fraudsters only promises to make this more profitable. To keep up, financial services firms are wielding AI for fraud detection. So how is AI used for fraud detection? Generative AI Can Be Tapped as Fraud Copilot Much of financial services involves text and numbers.

Explainability 106

Explainability Neural Network Computer Vision Generative AI 106

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. This contains a lot of posts about AI.

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Artificial Intelligence Artificial Intelligence Machine Learning Computer Vision 97

ODSC - Open Data Science

OCTOBER 24, 2023

The full details are in my new book “Statistical Optimization for Generative AI and Machine Learning”, available here. Generating synthetic data NoGAN is the first algorithm in a series of high-performance, fast synthesizers not based on neural networks such as GAN. Indeed, the whole technique epitomizes explainable AI.

Categorization 98

Categorization Data Science Neural Network Algorithm 98

Pickl AI

JULY 14, 2023

Even in the time of pandemic, AI has enabled in providing technical solutions to the people in terms of information inflow. Therefore, AI has been evolving since years now and is currently at its peak of development. AI has been disrupting every industry in the world today and will supposedly make larger swings in the next 5 years.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. They work on complex problems that require advanced neural networks to analyse vast amounts of data. Hyperparameter Tuning: Adjusting model parameters to improve performance and accuracy.

Deep Learning 52

Deep Learning Neural Network Machine Learning Natural Language Processing 52

Pickl AI

JANUARY 13, 2025

Perfect for newcomers, these books provide practical examples, step-by-step guidance, and real-world applications to build a strong understanding of AI and its transformative potential across industries. Introduction Artificial Intelligence (AI) continues to shape the future, with its market size skyrocketing from $515.31

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Machine Learning 52

Viso.ai

JULY 9, 2024

Generative AI, the infamous category of artificial intelligence models that can craft new content like images, text, or code has taken the world by storm in recent years. Understanding Generative AI Generative AI refers to the class of AI models capable of generating new content depending on an input. Get a personal demo.

Generative AI 52

Generative AI Neural Network Convolutional Neural Networks AI 52

Viso.ai

MARCH 26, 2024

The integration of Artificial Intelligence (AI) technologies within the finance industry has fully transitioned from experimental to indispensable. Initially, AI’s role in finance was limited to basic computational tasks. Furthermore, the introduction of GANs (Generative Adversarial Networks) has accelerated AI adoption.

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

Ofemwire

MARCH 1, 2024

Artificial Intelligence (AI) keeps pushing the limits of what technology can do. As of 2024, knowing AI terms is really important, not just for tech fans but for everyone. If you are confused by Artificial Intelligence (AI) terms? Technology moves fast, and it’s normal to feel unsure about diving into AI.

Neural Network 52

Neural Network Machine Learning Artificial Intelligence Artificial Intelligence 52

Pickl AI

JULY 24, 2024

This journey reflects the evolving understanding of intelligence and the transformative impact AI has on various industries and society as a whole. Introduction Artificial Intelligence (AI) has evolved from theoretical concepts to a transformative force in technology and society.

Artificial Intelligence 52

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