New KV cache compaction technique cuts LLM memory 50x without accuracy loss

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...
IEEE

Histogram-Based Gradient Boosting Tree: A Federated Learning Approach for Collaborative Fault Diagnosis

Abstract: Data-driven approaches have been widely applied in fault diagnosis. However, having sufficient labels to effectively develop fault diagnosis models in real-world manufacturing scenarios has ...
IEEE

Gradient Descent Emerges via Natural Selection

Abstract: Backed by sophisticated neural networks (NNs) that simulate the functions of the human brain, Artificial Intelligence (AI) has positioned itself to address complex problems in intelligence, ...
The Atlantic

Words Without Consequence

For the first time, speech has been decoupled from consequence. We now live alongside AI systems that converse knowledgeably and persuasively—deploying claims about the world, explanations, advice, ...