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Sunday, February 1, 2026

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Generative AI

Explained: Generative Adversarial Network

Dive into the world of Generative Adversarial Networks (GANs). Learn how these powerful AI models work, their applications, and the different types of GANs.

Microsoft Ignite 2024: Key Announcements

Microsoft Ignite 2024 will explore AI innovations, Copilot upgrades, and process automation. It will also explore the latest advancements in Windows 11, Azure, and Microsoft 365!

Explained: Quantum Generative Models

Quantum generative models use quantum mechanics to create complex data, offering efficiency and novel insights but facing hardware and algorithmic limitations.

Explained: Neural Radiance Fields

Discover Neural Radiance Fields (NeRFs): how they work, their impact on computer graphics and VR, and the challenges and possibilities they bring.

Explained: Chatbot

Explore chatbots, their workings, and applications. Learn the difference between rule-based and AI-powered chatbots and the future of conversational AI.

Explained: Conversational AI

Discover conversational AI's uses, benefits, and limits. Understand how it differs from chatbots and how it’s shaping the future of technology.

Explained: Underfitting

Underfitting in ML happens when a model misses key data patterns, leading to poor results. Learn causes, signs, and solutions to tackle underfitting effectively.

Explained: GPT

Explore GPTs: from definition and applications to ethical risks. Discover how they transform content, customer service, healthcare, and more.

Cracking the Code on Deepfake Speech Detection

Rana Gujral, CEO of Behavioral Signals, discusses how integrating AI and behavioral science revolutionizes deepfake speech detection, tackling misinformation, and addressing ethical challenges in the evolving digital landscape.

ScienceLogic: AI Adoption Challenges in IT Operations

ScienceLogic's study reveals AI/ML challenges in IT operations, highlighting the need for better monitoring, data management, and a clear path to GenAI.

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