What Hi-Fi? on MSN

We've tested FiiO's full-size S15 music streamer, but is it as impressive as it sounds on paper?

Clearly, this is an ambitious and adventurous company, so when it launches its first full-size music streamer, we can’t wait ...
eCoustics

Victrola Debuts Soundstage Under Turntable Speaker, Expanding Its Vinyl-Focused Home Audio Line

Victrola’s Soundstage may recall Andover’s SpinBase, but added features, modern connectivity, and a refined design give it a ...

Rotel DX-5 review: your new miniature stereo amp hero

Two-minute review. The Rotel DX-5 is a compact, beautifully constructed and very nicely designed stereo integrated amplifier ...
GitHub

Transformer-based Denoising AutoEncoder for Sentence Transformers Unsupervised pre-training

The acquisition of sentence embeddings often necessitates a substantial volume of labeled data. However, in many cases and fields, labeled data is rarely accessible, and the procurement of such data ...
IEEE

CSI-GPT: Integrating Generative Pre-Trained Transformer With Federated-Tuning to Acquire Downlink Massive MIMO Channels

Abstract: In massive multiple-input multiple-output (MIMO) systems, how to reliably acquire downlink channel state information (CSI) with low overhead is challenging. In this work, by integrating the ...
Investopedia

What’s the Difference Between Pretax and Roth Contributions?

Learn how contributing after-tax funds to a Roth has advantages in retirement Andrew Martins is an award-winning journalist who has performed thousands of hours of research on small business products ...
GitHub

animal2vec: A self-supervised transformer for rare-event raw audio input

Schäfer-Zimmermann, J. C., Demartsev, V., Averly, B., Dhanjal-Adams, K., Duteil, M., Gall, G., Faiss, M., Johnson-Ulrich, L., Stowell, D., Manser, M., Roch, M. A ...
IEEE

H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation

Abstract: Accurate medical image segmentation is of great significance for computer aided diagnosis. Although methods based on convolutional neural networks (CNNs) have achieved good results, it is ...