Abstract: Conventional semantic communication systems require training task-specific semantic encoders on each user device and corresponding decoders on the server for every client, resulting in ...
A new report has revealed that open-weight large language models (LLMs) have remained highly vulnerable to adaptive multi-turn adversarial attacks, even when single-turn defenses appear robust. The ...
Have you ever wondered why some conversational AI systems feel seamless and intuitive, while others leave users frustrated and disengaged? The difference often lies in how well these systems ...
What if one YouTube video could fuel your entire content strategy? Imagine turning a single 8-minute clip into a polished blog post, a scroll-stopping Instagram caption, a professional LinkedIn ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A new study by researchers at Google ...
Tarush Agarwal is the Co-Founder & CEO of Cekura, a Y Combinator backed company pioneering Testing and Monitoring for Conversational Agents. Conversational AI agents, such as chatbots and virtual ...
How do you balance risk management and safety with innovation in agentic systems -- and how do you grapple with core considerations around data and model selection? In this VB Transform session, ...
The HTx36E with CAN bus also allows continuous monitoring of the encoder. For example, the encoder issues a warning if the shaft speed is exceeded, if the temperature range is exceeded, if there is a ...
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