Quantum Transportation’s unique decoder is making another step forward by being validated in high-performance cloud environments Ra’anana, ...

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

After poring over recordings from sperm whales in the Caribbean, UC Berkeley linguist Gasper Begus had an unlikely breakthrough. According to a new study from Begus and his colleagues with Project ...

* Max Limper, Fraunhofer IGD, [@mlimper_cg](https://twitter.com/mlimper_cg) * Miguel Sousa, Fraunhofer IGD, [@mfportela](https://twitter.com/mfportela) * Maik Thöner ...

The world of software development is a constant learning curve. While tutorials and certifications provide a foundation, some of the most impactful lessons can only be truly grasped through personal ...

Intrinsically disordered regions (IDRs) of proteins have traditionally been overlooked as drug targets. However, with growing recognition of their crucial role in biological activity and their ...

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Brain signal decoders are increasingly being used in early clinical trials for rehabilitation and assistive applications such as motor control and speech decoding. As many Brain-Computer Interfaces ...

ML-based Data Matrix decoding This project seeks to create a Data Matrix decoder that relies on ML based methods. Weekly supervisor meetings occur on Thursdays at 13:30.

Abstract: We propose a class of codes, referred to as staircase matrix codes (SMCs), which have staircase-like generator matrices or parity-check matrices. We illustrate that polar codes and ...