Abstract: In this paper, we introduce the Union-Intersection Union-Find (UIUF) algorithm for decoding depolarizing errors in topological codes, combining the strengths of iterative and standard ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

We’ve put together some practical python code examples that cover a bunch of different skills. Whether you’re brand new to ...

Abstract: Low-density parity-check (LDPC) codes have been selected as the coding scheme of the data channel in 5G communication. To enhance the performance of conventional layered decoding of LDPC ...

Nvidia has also been growing its family of open source AI models, from Nemotron for agentic AI and Cosmos for physical AI to ...

sbedecoder is a simple python package for parsing SBE encoded data. sbedecoder dynamically generates an SBE parser from an xml description of the format. This is accomplished by creating an instance ...

Yesterday, I wrote about a 2-year-old open-source hardware ESP32-based DAB+ receiver project, but it turns out there's also a digital radio project for ...

OpenClaw is AI assistant designed to perform tasks like booking flights, managing emails. The craze, risks to Beijing's tech plans, News18 explains ...

The following results were collected using the benchmarks directory in this repository. The documents tested are real-world messages collected from the Archipelago client. Benchmark environment: ...

Summary: One of the biggest hurdles for Brain-Computer Interfaces (BCIs) is “signal decay”—the brain’s immune system eventually attacks implants, causing them to fail. Researchers have unveiled a ...

Summary: Meta’s Fundamental AI Research team has unveiled TRIBE, a groundbreaking foundation model designed to predict how the human brain processes visual and auditory stimuli. Trained on massive ...