Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Martin’s slope-shouldered dread style meets three-piece rosewood backs in this slept-on design from an undervalued period in ...

Is Ozempic a "shortcut"? Women using GLP-1s face increased fatphobia and social distance, particularly when the patient is white.

Destructive behavior in dogs is a common concern among pet owners, often manifesting as chewing furniture, digging, or ...

Seemingly unrelated diseases and conditions like Alzheimer's disease, obesity, chronic pain, traumatic brain injury, and ...

Question: Why did the U.S. military start using letters to name the airplanes it uses? For example B-17, P-51, F-86? Answer: ...

Abstract: In channel coding, reducing power consumption and improving energy efficiency are major challenges in sliding window decoding (SWD) architectures for spatially coupled low-density ...

--conv-frontend=./sherpa-onnx-qwen3-asr-0.6B-int8-2026-03-25/conv_frontend.onnx \\ --encoder=./sherpa-onnx-qwen3-asr-0.6B-int8-2026-03-25/encoder.int8.onnx ...

Abstract: Large language Models (LLMs) have immense potential to enhance the capabilities of Cyber-Physical-Social Intelligence (CPSI) systems, enabling them to better engage with complex cyber, ...

let encoder = "./sherpa-onnx-whisper-tiny.en/tiny.en-encoder.int8.onnx" let decoder = "./sherpa-onnx-whisper-tiny.en/tiny.en-decoder.int8.onnx" let tokens = "./sherpa ...