Abstract: The problem of learning a channel decoder is considered for two channel models. The first model is an additive noise channel whose noise distribution is unknown and nonparametric. The ...
Abstract: We present a new framework for constructing polar codes (i.e., selecting the frozen bit positions) for arbitrary channels, tailored to a given decoding algorithm rather than assuming the ...
Read full article about: LinkedIn is the undisputed king of long-form AI slop, according to a study spanning five platforms One in four social media posts over 250 words is AI-generated, according to ...
Read full article about: Anthropic opens Claude for Teachers with a promise not to train models on student data Anthropic is rolling out Claude for Teachers, a free offering for verified K-12 ...
In this work, we introduce DINOv, a Visual In-Context Prompting framework for referring and generic segmentation tasks. For visualization and demos, we also recommend trying T-Rex demo link, which is ...
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 ...
(UroToday.com) The 2026 American Urological Association annual meeting featured practice-changing, paradigm-shifting clinical trials in urology and a presentation by Dr. Mark Garzotto discussing ...
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