Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. However, their ability to engage in ...
Machine learning is transforming the control of particle accelerators, enabling "autonomous driving" for these complex systems. Researchers from the Institute of Modern Physics and Xiamen University ...
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IEEE Spectrum on MSNReinforcement Learning Triples Spot’s Running SpeedBoston Dynamics released a research version of its Spot quadruped robot, which comes with a low-level application programming interface (API) that allows direct control of Spot’s joints. Even back ...
The Core of AI Training In the field of artificial intelligence, data is the foundational pillar driving the development of ...
Panneer Selvam Viswanathan has articulated a vision of intelligent systems that transcend traditional limitations, offering a ...
Abstract: This paper proposes a method that combines imitation learning and reinforcement learning to improve the learning performance of autonomous vehicles. The actor model was pre-trained using ...
Even if its customers keep spending, Nvidia faces growing competitive threats – some more serious than others. One of the leading contenders is US semiconductor designer AMD (US:AMD) . The company ...
Abstract: Ensuring the safety of Deep Reinforcement Learning (DRL) systems remains a significant challenge, particularly in real-time applications such as autonomous driving and robotics, where ...
Generative AI provides another transformative approach for optimizing tabular data. Instead of manually selecting or ...
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Tech Xplore on MSNContinuous skill acquisition in robots: New framework mimics human lifelong learningHumans are known to accumulate knowledge over time, which in turn allows them to continuously improve their abilities and ...
Baron Global Advantage Fund advanced during the fourth quarter of 2024, outperforming its benchmark, the MSCI ACWI Index.
The course provides an introduction to how deep learning techniques can be used to design important parts of advanced autonomous systems that exist in physical and cyber environments. Students ...
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