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I’m looking to move beyond traditional "frame-based" AI and explore Spiking Neural Networks (SNNs) for a robotics project. My goal is to use neuromorphic principles for lower-latency d...
I’m currently training a DQN for an autonomous navigation task, but I’ve hit a wall. My agent starts off strong but eventually develops a massive overestimation bias—it thinks every ...
I'm moving beyond standard PPO (Proximal Policy Optimization) and exploring Temporal Difference Learning, specifically TD($\lambda$), to improve AI-generated text quality. My goal is to use TD($\l...
I am working on a high-frequency trading (HFT) application where every microsecond counts. Standard GPU inference has too much jitter and "batching" delay for our needs. I've decided to ...
I’m trying to integrate Meta’s Segment Anything Model (SAM) into a live robotics feed, but the image encoder is a total bottleneck. Currently, I’m getting about 2 frames per second o...
I’m working on a speech recognition (ASR) system for a low-resource language with very little transcribed audio. I’ve seen that wav2vec 2.0 can theoretically work with just 10 minutes of d...
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