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LLMs surpass specialized tools in decoding archival handwriting

AI beats specialists: Wilfrid Laurier University tests show LLMs outperform Transkribus in accuracy, speed, and cost for 18th- and 19th-century English documents. Unlocking hidden archives: The ...
IEEE

Distributed State Estimation for Complex Networks Under Decode-and-Forward Relays: Handling Transmission Power Constraints

Abstract: This article delves into the distributed state estimation issue for a type of complex networks subjected to packet dropouts, particularly in relay channels employing a decode-and-forward ...
IEEE

A Real-Time Neural Decoder for Decoding Perceived Odor Identity Within a Single Sniff

Abstract: Neural decoding is a pivotal technique in neuroscience for reconstructing sensory stimuli from neural responses. This study presents a real-time neural decoder hardware implemented using ...
Hacker

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation

Among other things, launching AIModels.fyi ... Find the right AI model for your project - https://aimodels.fyi ...
TMCnet

Skymizer Taiwan Inc. Unveils Breakthrough Architecture Enabling Ultra-Large LLM Inference on a Single Card

Deploying ultra-large models on-premise has historically required massive GPU clusters, high-speed interconnects like NVLink/NVSwitch, and intensive cooling systems — resulting in prohibitive cost and ...
marktechpost

Moonshot AI and Tsinghua Researchers Propose PrfaaS: A Cross-Datacenter KVCache Architecture that Rethinks How LLMs are Served at Scale

For years, the way large language models handle inference has been stuck inside a box — literally. The high-bandwidth RDMA networks that make modern LLM serving work have confined both prefill and ...