Intel Insights

This Week in Analytics & AI News

How Intel Is Refining Its Approach to Responsible AI

Intel believes that responsible development must be the foundation of innovation throughout the AI life cycle to ensure it’s built, deployed, and used in a safe, sustainable, and ethical way. As AI continues to rapidly evolve, Intel Fellow Lama Nachman outlines how the company’s responsible AI efforts are also evolving to keep pace with that change.

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Webinar, April 23: Curbing Hallucinations and Bias in Multimodal LLMs

When building AI assistants and chatbots, it’s essential to develop multimodal large language models (LLMs) that can handle diverse data types effectively while minimizing bias and hallucinations. Join engineers from Intel and Landing AI to learn how to use multimodal LLMs that can chat with images or videos, understand the effectiveness of multimodal LLMs with interactive tools, and more.

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Upleveling Image Segmentation With Segment Anything

Across industries, businesses actively adopt computer vision (CV) to improve operations, elevate user experiences, and optimize overall efficiency. In this podcast, Intel’s Paula Ramos looks at the evolution of image segmentation, what the launch of Meta AI’s Segment Anything Model means to the CV community, and how developers can leverage OpenVINO™ to optimize for performance.

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The Dynamic Duo: Generative vs. Predictive AI in Health and Life Sciences

Driven by AI, the health and life sciences industry is on the brink of a revolution. Intel Fellow Dr. Melvin Greer outlines how both GenAI and predictive AI are shaping the future of healthcare, such as accelerating drug discovery, enabling personalized medicine, and predicting—even preventing—the spread of infectious diseases.

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