Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
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OpenAI debuts new ‘reasoning’ models and coding agent as it seeks to stay at the front of the AI pack
OpenAI has released two AI “reasoning” models that it says are its most capable yet as well as an open-source AI agent that helps computer programmers code, as the company seeks to gain a lead over ...
Abstract: We focus on a network where n sources send data to k destinations, through m≥ n relay nodes employing random linear network coding. The coefficients used to encode the data packets are ...
Abstract: In this paper, the consensus control problem is investigated for a class of discrete-time networked multiagent systems (MASs) with the coding-decoding communication protocol (CDCP). Under a ...
In this tutorial, we work directly with Qwen3.5 models distilled with Claude-style reasoning and set up a Colab pipeline that lets us switch between a 27B GGUF variant and a lightweight 2B 4-bit ...
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