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

Nonlocal Deep Unfolding Pansharpening Method Based on Dynamic Kernel Prior

Abstract: Variational optimization (VO) pansharpening methods model the imaging process of remote sensing sensors to reconstruct high-resolution multispectral (HRMS) images. However, traditional VO ...
IEEE

A Deep Reinforcement Learning-based Energy-Aware Open Shop Scheduling Method

Abstract: Energy-aware scheduling is essential for achieving operational efficiency in modern smart manufacturing systems under dynamic production conditions. This research tackles the flexible ...
Kotaku

SHOKZ OpenMove Is Cheaper Than Ever as Old Open-Ear Sport Headphones Get Cleared Out on Amazon

This article is part of Kotaku Deals, produced separately from the editorial team. We may earn a commission when you buy through links on the site. Working out with your favorite tunes in the ...
Hosted on MSN

Turning smoked meat into deep fried brisket using a simple method

This video tests what happens when fully cooked “BBQ brisket” is finished in a deep fryer. It walks through the setup, oil temperature, and timing needed to avoid drying the meat out. The method ...
VentureBeat

DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

When an enterprise LLM retrieves a product name, technical specification, or standard contract clause, it's using expensive GPU computation designed for complex reasoning — just to access static ...
Computerworld

Deepseek says new method can train AI more efficiently and cheaply

Chinese AI company Deepseek has unveiled a new training method, Manifold-Constrained Hyper-Connections (mHC), which will make it possible to train large language models more efficiently and at lower ...
Reuters

Japan to test mine rare-earth mud from deep seabed

TOKYO, Dec 23 (Reuters) - Japan will conduct test mining of rare-earth-rich mud from the deep seabed off Minamitori Island, some 1,900 kilometres (1,180 miles) southeast of Tokyo, from January 11 to ...
GEN

Deep Learning Predicts Cell Behavior Dynamics in Early Drosophila Development

During early development, tissues and organs begin to form through the shifting, splitting, and growing of many thousands of cells. A team of researchers headed by MIT engineers has now developed a ...
ascopubs.org

Long Short-Term Memory–Driven Modeling of Dynamic Hepatocellular Carcinoma Microenvironments: A Deep Learning Framework for Precision Treatment Prediction

Multimodal HCC TME data (high-throughput sequencing, protein expression, and time-series imaging) were integrated. Spatial features were extracted using convolutional neural networks (CNNs), while ...