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To move beyond pilots and realize the full value of AI, logistics leaders must elevate their data maturity. That means making ...
Abstract: Dynamic sparsity is intrinsic to biological computing and is key to its extreme power efficiency. Edge computing systems can improve their energy efficiency and reduce response latency by ...
The Impact of Generative Artificial Intelligence on College Students’ Computer Thinking in the Task of Complex Computer Programming: Based on Social Cognitive Theory Generative Artificial Intelligence ...
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
Abstract: Generating optimal excitation trajectories is crucial for ensuring that the observation matrix is well conditioned in robot dynamic identification. This task is a typical optimization ...
B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack ...