Award recognizes scriptless lives from CES demo that revealed how the conversational AI software knows when to speak and when not to act, entirely on the device
LAS VEGAS – January 13, 2026 – Attention Labs, the artificial intelligence (AI) company whose products enable machines to engage in natural conversations with multiple people, today announced that its selective attention software has earned a CES 2026 Picks Award. The award, part of the TechRadar Pro Picks, recognizes the live, unscripted CES 2026 demonstration of multi-talker AI technology that can manage real-time interaction in group conversations, including knowing when not to speak. The demo was presented in collaboration with Hugging Face. It ran entirely on-device, without relying on cloud processing.
“It is a great honor to be recognized by TechRadar for our progress in human-machine interaction,” said David Joohun Kim, CEO and co-founder of Attention Labs. “Multi-person dialogue monitoring is one of today’s biggest AI challenges. We expect our solution to have a major impact on robotics and many other critical use cases. We are very pleased to see our approach to selective attention AI use cases validated by this recognition.”
Attention Labs develops AI systems focused on selective auditory attention. This is a fundamental capability for machines to function effectively in real multi-speaker environments. As Kim put it: “In real life, conversations are not always one-on-one. Groups of people talk to each other. We speak over each other. We speak in fragments. As humans, we intuitively know who to focus on in a group conversation, and we generally understand who is saying the most relevant. This is not so easy for a machine. Most conversational AI systems still rely on a single speaker and struggle in group environments with overlapping speech, interruptions, and a dynamic flow of conversation. This is the problem we solve.”
At CES 2026, Attention Labs demonstrated its technology live in an unscripted group discussion that emphasized real-world conditions rather than controlled scenarios. The recognition marks a significant milestone for Attention Labs, moving the company from years of foundational R&D to public demonstrations and early pilot discussions with partners in robotics, smart devices and edge AI.
Attention Labs’ capabilities are especially relevant for robotics, smart devices, automotive systems, and other edge-deployed AI applications where latency, privacy, and reliability are critical. The importance of the technology’s on-device AI lies in the challenge of delivering functionality at the edge without the software having to interact with cloud-based computing. Being able to operate without data and instructions moving back and forth across networks means low latency, which is essential for workloads such as robotics or self-driving vehicles.
“When you introduce network and cloud latency into a robot use case, you will inevitably encounter unpredictable levels of latency, impacting both outcomes and potentially safety and liability,” Kim added.
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