On September 19 and 20 in San Jose, CA, join Intel’s executive leadership along with special guests as they outline the latest advancements in computing, offer a road map for the future of the industry, and unveil the latest developer solutions to unleash the next wave of innovative technology. Register today to plan your experience, including keynotes, hands-on labs, and a diverse selection of breakout sessions.
Intel's Sandra Rivera Named Among TIME's 100 Most Influential People in AI
Early in her career, Sandra Rivera told herself, “You’re not going to be in a majority; you’ll be remembered for how you showed up in that room … So be remembered for something good.” Now Executive VP and GM of Intel’s Data Center and AI Group, Rivera leads the company’s push to become the go-to for AI accelerators—all while correcting a series of “missteps” and navigating a challenging geopolitical landscape.
The Intersection of Humans and Technology at the Edge
While there’s no clear definition of what comprises the edge, edge devices themselves can be found everywhere—in shopping malls, self-driving cars, fast-food restaurants, and more. In this episode of “InTechnology,” Intel’s Joannie Fu discusses how edge computing has and will continue to evolve, and why human-oriented skills will help balance innovation as AI continues to make inroads at the edge.
Intel Shows Strong AI Inference Performance
As part of the newly published MLCommons results for AI inference, Intel submitted results for Habana® Gaudi®2 accelerators, 4th Gen Intel® Xeon® Scalable processors, and the Intel® Xeon® CPU Max Series, revealing Intel’s competitive performance for AI inference and reinforcing the company’s commitment to making AI more accessible at scale across the continuum of AI workloads.
Generative AI’s Potential as a Force Multiplier in Defense
Defense departments around the world are increasingly investing in generative AI (GenAI) and large language models (LLMs) to modernize military capabilities and safeguard citizens. Check out several use cases—such as enhancing situational awareness and decision-making, addressing cybersecurity threats, and enabling realistic simulations—that GenAI and LLMs can provide for the defense industry as a whole.
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