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autonomous AI coders. Build explainability modules to visualize agent reasoning and decisions. 🧪 Expected Outcomes Prototype of an agentic code generation framework capable of self-directed code improvement
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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locations in hundreds of example video frames. Coding expertise is also needed. These barriers mean that automated behavioural prediction tools are accessible to only a fraction of behavioural research labs
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the work had largely relied on code written by a young open source developer, who did not receive any renumeration from the sale (and who in turn, relied on code and ideas developed by AI researchers and