Tesla reported earnings late Wednesday. Elon Musk's conference call and robotaxis are in focus. Tesla stock is below key ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

Understanding GPU memory requirements is essential for AI workloads, as VRAM capacity--not processing power--determines which models you can run, with total memory needs typically exceeding model size ...

Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design” was published by researchers at ...

Smaller models, lightweight frameworks, specialized hardware, and other innovations are bringing AI out of the cloud and into ...

PPA constraints need to be paired with real workloads, but they also need to be flexible to account for future changes.

09/04/2025 4.1.0: Meituan LongCat Flash Chat, Llama 4, GPT-OSS (BF16), and GLM-4.5-Air support. New experimental mock_quantization config to skip complex computational code paths during quantization ...

If you are anything like me, your wardrobe is packed to the max with pairs of leggings. But not all leggings are created equal, and each one has their given purpose. I have my favorite pair of ...

Abstract: Recently, many compressed neural network models have been implemented on embedded platforms. However, there is still a lack of steganographic methods that utilizes these compressed models ...