Efficient AI refers to the design and optimization of artificial intelligence systems to reduce computational cost, memory usage, energy consumption, and inference latency without significant loss of performance. Research methods include model compression, pruning, quantization, knowledge distillation, neural architecture search, and hardware-aware training. Efficient AI is critical for deploying models in resource-constrained environments such as edge devices, mobile platforms, and real-time industrial systems where large-scale compute is unavailable or impractical.
Machine learning is shifting from learning from data alone to learning from both data and teacher models. Beta-KD uses uncertainty-aware Bayesian weighting to train compact multimodal AI without blindly trusting every teacher signal.
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NEC Laboratories America, Inc. (NEC Labs) is the US-based center for NEC Corporation’s global network of corporate research laboratories. Our diverse research groups collaborate with industry, academia and governments to provide disruptive solutions to complex problems. A leader in the integration of IT and network technologies with more than 100 years of expertise, NEC provides a combination of products and solutions that cross-utilize the company’s experience and global resources to meet the complex and ever-changing needs of its customers.