The quiet hum of supercomputers is steadily replacing the clatter of beakers in some of the world's most advanced laboratories, heralding a profound transformation in how humanity pursues new knowledge. In this rapidly evolving landscape, where algorithms can predict the properties of molecules
In a landscape where artificial intelligence often feels like a complex, futuristic concept reserved for corporate giants, Laurent Giraid, a technologist specializing in applied AI, is focused on the here and now. He champions the idea of "practical AI"—solutions that deliver immediate, measurable
The very materials designed to heal the human body and push the boundaries of aerospace engineering have long presented a profound manufacturing paradox, being so resilient that shaping them into intricate components was once a battle of brute force against immense cost. This long-standing
Laurent Giraid, a technologist whose work lies at the intersection of artificial intelligence and semiconductor engineering, joins us to demystify a groundbreaking development in analog chip design. For decades, this critical process has been a bottleneck, relying on the intuition and experience of
The proliferation of intelligent devices has fundamentally shifted computational demands from centralized cloud servers to the very edge of the network, where data is generated and immediate action is required. This transition to Edge AI is no longer an experimental concept but a firm market
Today, we sit down with Laurent Giraid, a leading AI technologist whose work sits at the intersection of machine learning, system architecture, and natural language processing. As enterprises move beyond experimental chatbots to embed long-running AI agents deep within their core products, the very
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