Intel Insights

This Week in Technology Trends & Innovation

Confidential AI: The Convergence of Security, Privacy, and AI

The need to maintain privacy and confidentiality of AI models is driving the convergence of AI and confidential computing technologies, creating a new market category called confidential AI. At the 2024 OC3 conference, Intel CTO Greg Lavender and a panel of industry leaders discussed confidential AI’s role in helping us realize the potential of AI in a manner that’s secure, regulated, and ethical.

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Intel Announces New Program for AI PC Software Developers and Hardware Vendors

As part of its AI PC Acceleration Program, Intel has announced two new initiatives: the AI PC Developer Program—designed for software developers and ISVs to deliver frictionless developer experiences—and the addition of independent hardware vendors who can now prepare, optimize, and enable their hardware for Intel AI PCs.

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High Stakes, High Tech: The New Era of Gaming

In this episode of “To the Edge and Beyond,” experts from Quixant and Intel join host Michelle Dawn Mooney to discuss the evolving landscape of gaming—where omnichannel experiences blur the lines between the virtual and the tangible—and how the two companies are giving casino game developers the tools to succeed.

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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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Intel's OmniBridge Translates American Sign Language and Speech Into Text

OmniBridge is breaking down communication barriers with the power of AI, making sign language translation accessible worldwide. In this short video, co-founder and GM Adam Munder shows how the Intel software solution enables real-time conversations between ASL users and English speakers, using computer vision and machine learning to interpret sign language and speech into text.

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