In 2026, Beamr plans to build the foundations of its long-term growth by further developing solutions for video data in AI systems - both for ...
Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...
A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, learning-based systems capable of evolving alongside intelligent adversaries.
Abstract: The exponential increase of stream data in the big data era poses critical challenges for SQL queries on compressed streams. These challenges are exacerbated by diverse computational demands ...
Abstract: The rapid development of Large Language Model (LLM) agents has facilitated the advancement of multi-agent systems, where cognitive knowledge sharing is crucial for the execution of complex ...
Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...
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