It highlights the latest advancements, explains the role of AI in enhancing IoT, details how AI can be integrated, and ...

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

Developed by Google, TensorFlow is a software framework that’s widely used for training and inference of neural networks.

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

It’s been over two years since the rise of generative AI, marked by the release of ChatGPT in November 2022. Yet, the impact ...

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

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 ...

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 ...

Turing's 1950 paper didn't just pose the profound question, "Can machines think?". It ignited a quest to build AI technology ...

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." ...