Retrieval Augmented Augmentation helps to optimize the output of LLMs. GraphRAG also brings a visual component into play.

Abstract: Reinforcement learning (RL)-based brain machine interfaces (BMIs ... In this paper, we propose a hidden brain state-based kernel inverse reinforcement learning (HBS-KIRL) method to ...

Advancements in computing are transforming industries and unlocking new potential. This white paper explores Quantum AI, ...

AI and machine learning transform Battery State of Health (SOH) estimation, enabling proactive maintenance and improving the ...

Neurosurgeons know brain cancer patients live longer and do better if they're able to remove the entire tumor. Now, there's an AI tool to help them.

Graph Neural Networks (GNNs) are a rapidly advancing field in machine ... operations using kernel fusion and thread scheduling. Techniques like Seastar and dgNN have improved sparse operations and ...

We usually think of walnuts as a healthy snack or a delightful addition to a salad. But there’s an intricate world that ...

It’s largely up to companies to test whether their AI is capable of superhuman harm. At Anthropic, the Frontier Red Team ...

Base Layer,Bloch Sphere,Classification Task,Feature Maps,Full Entanglement,Full Scheme,Kernel Methods,Machine Learning,Neural Network,Quantum Advantage,Quantum ...

but real-time Linux finally made it into the mainline Linux kernel. It's baked inside Linux ... contributed a new method for user-space address masking. The net effect of this is to speed ...

Their results have been published in the journal Science and Technology of Advanced Materials: Methods. Machine learning algorithms need data, so the researchers designed a polymerization process ...