AI inference just plays by different rules

Users and AI agents feel the outliers. A two-millisecond average latency means nothing if one percent of your queries take ...

Model Showcase: TurboQuant, Gemma, and DeepSeek v4

Google is releasing new Gemma models and a new algorithm, DeepSeek v4 is finally available, and Anthropic is making headlines ...
IEEE

CIM²PQ: An Arraywise and Hardware-Friendly Mixed Precision Quantization Method for Analog Computing-In-Memory

Abstract: Computing-in-memory (CIM) architecture is a promising convolutional neural network (CNN) accelerator known for its highly efficient matrix-vector multiplications (MVMs). However, due to the ...
Hosted on MSN

Inside the AI magic behind today’s movie visuals

AI meets VFX: Studios use AI for lighting realism, digital de-aging, and asset creation, enhancing visual storytelling while keeping it consistent. Restoring film history: Machine learning models ...
IEEE

Quantization-Aware Training of Spiking Neural Networks for Energy-Efficient Spectrum Sensing on Loihi Chip

Abstract: Spectrum sensing is a technique used to identify idle/busy bandwidths in cognitive radio. Energy-efficient spectrum sensing is critical for multiple-input-multiple-output (MIMO) ...
GitHub

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache

[2025.09.25]: 🔥🔥🔥 We released a toolkit that tests the impact of numerical precision and enables deterministic LLM inference. This helps eliminate the training–inference mismatch in reinforcement ...