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At The Edge Of Intelligence: How Quantum Algorithms Will Revolutionize AI
The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.
Hosted on MSN4d
A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamics
Most dynamical models introduced in the past were linear ... with a multisection neural network architecture and training approach." The researchers trained their RNN-based model using a four-step ...
Tech Xplore on MSN6d
AI cloud infrastructure gets faster and greener: NPU core improves inference performance by over 60%
The latest generative AI models such as OpenAI's ChatGPT-4 and Google's Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating ...
IEEE7d
Neural Network Observer Based Adaptive Trajectory Tracking Control ...
This paper concerned with the network observer based adaptive trajectory tracking control strategy of Unmanned Surface Vehicle with event-triggered mechanisms and signal quantization. In expound upon ...
IEEE6d
Low Quantization Error Readout Circuit with Fully Charge-Domain ...
This work presents a low quantization error readout circuit with fully-charge-domain calculation for quantization and post-process of computation-in-memory (CIM ...