Step 3: Word-level decoding practice (4 minutes). This is where students get lots of opportunities to work with the target ...

Yours truly can’t do the splits without ending up in the hospital, and it turns out the maneuver's equally difficult for USB.

Syndrome-based neural decoding is a promising approach for soft-decision decoding of short, high-rate codes, but the field is still wide open. Performance often lags behind classical decoders like OSD ...

Abstract: Generative modeling, representation learning, and classification are three core problems in machine learning (ML), yet their state-of-the-art (SoTA) solutions remain largely disjoint. In ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

If you’re here for the performance metrics, let’s jump straight into some Snapdragon 8 Gen 2 benchmarks. First, we can compare the reference devices that Qualcomm makes available at its annual tech ...

This manuscript reports a useful computational study of information encoding across the monkey prefrontal and pre-motor cortices during decision making. While many of the conclusions are supported ...

Spiking neural networks (SNNs) have recently demonstrated outstanding performance in a variety of high-level tasks, such as image classification. However, advancements in the field of low-level ...

Creating flexible and robust brain machine interfaces (BMIs) is currently a popular topic of research that has been explored for decades in medicine, engineering, commercial, and machine-learning ...