With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
Abstract: The Industrial Internet of Things (IIoT) has accelerated the adoption of multi-UAV systems in applications such as urban inspection and emergency response. However, effective path planning ...
Radar Lite delivers prioritized email, domain and web security assessments with clear fix guidance in under a minute LONDON, UNITED KINGDOM, January 12, 2026 ...
In this tutorial, we build a robust, multi-layered safety filter designed to defend large language models against adaptive and paraphrased attacks. We combine semantic similarity analysis, rule-based ...
A new technical paper titled “Pushing the Envelope of LLM Inference on AI-PC and Intel GPUs” was published by researcher at Intel. “The advent of ultra-low-bit LLM models (1/1.58/2-bit), which match ...
Sonos has unveiled its first new product of 2026, the Amp Multi. This amplifier is a niche option for the owners of very large or complicated spaces, and it's being billed as professional grade option ...
mLLMCelltype is a multi-LLM consensus framework for automated cell type annotation in single-cell RNA sequencing (scRNA-seq) data. The framework integrates multiple large language models including ...
If rumors are accurate, 2026 is going to be a huge year for Apple. We're expecting the first foldable iPhone, an all-new home hub device, updated displays, and possibly, the first OLED MacBook Pro and ...
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