Jabez Eliezer Manuel, Senior Principal Engineer at Booking.com, presented “Behind Booking.com's AI Evolution: The Unpolished ...

At QCon London 2026, Yinka Omole, Lead Software Engineer at Personio, presented a session exploring a recurring dilemma engineers face, whether to spend time mastering the newest technologies and ...

Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...

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This article outlines the design strategies currently used to address these bottlenecks, ranging from data center systolic ...

Memories.ai is building a large visual memory model that can index and retrieve video-recorded memories for physical AI.

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

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At GTC 2026, Jensen Huang, Aravind Srinivas, Harrison Chase, Mira Murati, and Michael Truell made a compelling case that the future of AI belongs to open agent systems, not just open models.