Penguin-VL is a compact vision-language model family built to study how far multimodal efficiency can be pushed by redesigning the vision encoder, rather than only scaling data or model size.
Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.
Open-source OCR from Baidu eliminates the GPU memory wall that limits long-document parsing. Unlimited OCR uses a constant KV ...
New York Post may be compensated and/or receive an affiliate commission if you click or buy through our links. Featured pricing is subject to change. Amazon Prime Day is officially underway, and Day 1 ...
Abstract: This paper proposes a decoder-only Transformer model for analyzing and clustering vehicle-to-vehicle interactions in highway merge zones. Leveraging deep learning, the model captures complex ...
LOS ANGELES -- A single swing broke a scoreless deadlock at Dodger Stadium on Tuesday night, courtesy of Shohei Ohtani. The solo home run in the bottom of the sixth inning provided the lone run of the ...
Amazon CEO Andy Jassy may have been the source of security concerns that led Anthropic to cut off worldwide access to two models on Friday. The Wall Street Journal reports that Jassy told Treasury ...
The company said on Friday night that the federal government had ordered limits on its Mythos and Fable 5 A.I. systems, citing national security concerns. By Cade Metz and Dustin Volz Cade Metz ...
Target-speaker voice activity detection (TS-VAD) is a promising approach to speaker diarization. However, a comprehensive evaluation across diverse real-world datasets remains absent. In this work, we ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results