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Explainable AI: Demystifying the Black Box Models

Analytics Vidhya

Explainable AI aims to make machine learning models more transparent to clients, patients, or loan applicants, helping build trust and social acceptance of these systems. Now, different models require different explanation methods, depending on the audience.

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How Large Language Models Are Unveiling the Mystery of ‘Blackbox’ AI

Unite.AI

Thats why explainability is such a key issue. People want to know how AI systems work, why they make certain decisions, and what data they use. The more we can explain AI, the easier it is to trust and use it. Large Language Models (LLMs) are changing how we interact with AI. Thats where LLMs come in.

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Explainable AI Using Expressive Boolean Formulas

Unite.AI

The explosion in artificial intelligence (AI) and machine learning applications is permeating nearly every industry and slice of life. While AI exists to simplify and/or accelerate decision-making or workflows, the methodology for doing so is often extremely complex. But its growth does not come without irony.

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Explainable AI using OmniXAI

Analytics Vidhya

Introduction In the modern day, where there is a colossal amount of data at our disposal, using ML models to make decisions has become crucial in sectors like healthcare, finance, marketing, etc. Many ML models are black boxes since it is difficult to […].

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The Role of AI in Gene Editing

Unite.AI

Artificial intelligence is making waves across industries, but its impact is higher in some sectors than others. In these fields, gene editing is a particularly promising use case for AI. In addition to hallucinations, machine learning models tend to exaggerate human biases.

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The Hidden Risks of DeepSeek R1: How Large Language Models Are Evolving to Reason Beyond Human Understanding

Unite.AI

In the race to advance artificial intelligence, DeepSeek has made a groundbreaking development with its powerful new model, R1. Renowned for its ability to efficiently tackle complex reasoning tasks, R1 has attracted significant attention from the AI research community, Silicon Valley , Wall Street , and the media.

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Top Emerging Areas in Artificial Intelligence (AI)

Marktechpost

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.