3 accepted papers
Quantization is critical for efficiently deploying large language models (LLMs). Yet conventional methods remain hardware-agnostic, limited to bit-width constraints, and do not account for intrinsic circuit characteristics such as the timing behaviors and energy profiles of Multiply-Accumulate (MAC)
The advent of 5G networks motivates the need for high-performance, low-power, time-predictable hardware that can handle the aggressive real-time latency and throughput requirements of baseband processing. With newer generations like 5G, programmable hardware that can adapt readily to network specifi…
Laser distance sensors such as LIDAR are useful for many outdoor robotic vehicles, but their high cost and complexity precludes their use in low-cost applications, while other low-cost depth sensing technologies are not suitable for outdoor use. We present a low-cost, smartphone-based planar laser d