Skymizer Unveils Advanced AI Innovations at AI Expo Taipei 2025

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, /PRNewswire/ -- Skymizer, a global leader in AI chip IP solutions, is set to showcase its latest technological advancements at the upcoming AI Expo Taipei 2025, scheduled from March 26 to 28 at the Taipei Expo Park (Expo Dome). These innovations are poised to redefine edge computing and large language model (LLM) applications across various industries.

Advancements in LISA v3: Paving the Way for Agentic AI

Building upon its proprietary Language Instruction Set Architecture (LISA), Skymizer introduces LISA v3, engineered to power multimodal LLMs and enable concurrent model execution. This evolution lays the groundwork for the future of Agentic AI, where autonomous agents can process and integrate diverse data types in real-time, enhancing decision-making and interaction capabilities.

Executive Insights

William Wei, Chief Marketing Officer and Executive Vice President of Skymizer, expressed enthusiasm about these developments:

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"Our advancements in LISA v3 signify a pivotal step toward realizing Agentic AI. By enabling multimodal processing, concurrent model execution for scalable IP, we're not just enhancing AI performance; we're redefining the possibilities of AI agents."

Upcoming Product Announcement

In anticipation of Computex 2025, Skymizer is preparing to announce a new product that leverages the capabilities of LISA v3. This forthcoming innovation is expected to set new benchmarks in AI performance and versatility. Details will be unveiled in the lead-up to Computex 2025, reflecting Skymizer's commitment to driving the evolution of AI technologies.

Join Skymizer at AI Expo Taipei 2025

Attendees of AI Expo Taipei 2025 are invited to visit Skymizer's booth to explore these cutting-edge technologies firsthand. The event will feature discussions on edge-cloud collaboration, advancements in computing power, and AI innovations across diverse application scenarios. Skymizer's participation underscores its dedication to advancing AI accessibility and performance in the rapidly evolving technological landscape.