NPR

New research helps explain how human brains are able decode speech so quickly

Scientists are learning how the brain extracts discrete words from a continuous stream of sounds. UNIDENTIFIED PERSON #1: (Speaking Japanese). SUMMERS: Unless you speak Japanese, that probably sounded ...
jdpower

ChromeData VIN Descriptions

“Our customers rely on us to provide a comprehensive view of their fleet’s performance and deliver the insight necessary to make fully-informed strategic decisions. Collaborating with the J.D. Power ...
IEEE

Encoding–Decoding-Based Quantized Learning Control Using Spherical Polar Coordinates

Abstract: This study investigates the performance of discrete-time systems under quantized iterative learning control. An encoding–decoding mechanism is combined with a spherical polar ...
IEEE

DSFE: Decoding EEG-Based Finger Motor Imagery Using Feature-Dependent Frequency, Feature Fusion and Ensemble Learning

Abstract: Accurate decoding finger motor imagery is essential for fine motor control using EEG signals. However, decoding finger motor imagery is particularly challenging compared with ordinary motor ...
GitHub

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

[2024/1] Medusa technical report is now available on arXiv. We've added multiple new features, including Medusa-2 recipe for full-model training, self-distillation for adding Medusa to any fine-tuned ...
GitHub

Return of the Encoder: Efficient Small Language Models

We note that our work focuses on architectural comparisons rather than competing with recent SLM developments (e.g., SmolLM, MobileLLM). Our analysis isolates the fundamental advantages of ...