A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
Google says its AI tutor delivered a year of math progress in eight weeks. I asked the DeepMind researcher behind the trial ...
Abstract: Compute-in-memory (CIM) is a new computing paradigm that addresses the memory-wall problem in hardware accelerator design for deep learning. The input vector and weight matrix multiplication ...
China unveiled a comprehensive software platform in Beijing on Monday aimed at overcoming a long-standing bottleneck in its ...
Abstract: The model-based power allocation has been investigated for decades, but this approach requires mathematical models to be analytically tractable and it has high computational complexity.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results