To counter the sophisticated threats posed by advanced backdoor frameworks like UNIDOOR, the study underscores the importance ...

Understanding Neuro-Symbolic Integration Neuro-symbolic AI combines two fundamental paradigms in artificial intelligence: ...

Students who engage in hands-on learning are more confident, empathetic global citizens equipped to meet real-world ...

Lex Fridman talked to two AI hardware and LLM experts about Deepseek and the state of AI. Dylan Patel is a chip expert and ...

Things are moving quickly in AI — and if you’re not keeping up, you’re falling behind. Two recent developments are reshaping the landscape for developers and enterprises ali ...

Therefore, we emphasize the importance of guiding task migration via exploring prospective trajectories of vehicles. We propose a Mobility-Aware Cooperative Multi-Agent (MCMA) deep reinforcement ...

Then, we design a two-layer Deep Reinforcement Learning (DRL) algorithm for network nodes to make decisions. The first-layer DRL algorithm is implemented by RSUs to determine task offloading modes.

OpenAI unveiled a new tool dubbed Deep Research, which "conducts multi-step research on the internet for complex tasks." ...

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At first glance, machine learning might seem mysterious, but it’s built on a logical foundation. Let’s explore how each step works to make sense of the data: ...

In a new study published in Science Advances, researchers at Northwestern Medicine discovered that the brain regions used for ...