🧭 Prologue: Why Return to the Old-Generation 'MT4' Now? We at 'Semura Lab' have always pursued the optimal and most powerful system environment to cross the sea of information and extract profits ...
Abstract: This paper presents a novel framework that applies deep Q-learning (DQN) with transfer learning to millimeter-wave (mmWave) beam selection using a software-defined radio (SDR) testbed. We ...
Cybersecurity researchers have uncovered critical remote code execution vulnerabilities impacting major artificial intelligence (AI) inference engines, including those from Meta, Nvidia, Microsoft, ...
Flaws replicated from Meta’s Llama Stack to Nvidia TensorRT-LLM, vLLM, SGLang, and others, exposing enterprise AI stacks to systemic risk. Cybersecurity researchers have uncovered a chain of critical ...
AI frameworks, including Meta’s Llama, are prone to automatic Python deserialization by pickle that could lead to remote code execution. Meta’s large language model (LLM) framework, Llama, suffers a ...
A high-severity security flaw has been disclosed in Meta's Llama large language model (LLM) framework that, if successfully exploited, could allow an attacker to execute arbitrary code on the ...
In this project, we present a technique employing ZeroMQ (an Open Source, Asynchronous Messaging Library and Concurrency Framework) for building a basic – but easily extensible – high performance ...
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