Dashboard As Code
PulseAugur coverage of Dashboard As Code — every cluster mentioning Dashboard As Code across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New ASP Model Optimizes Air Traffic Flow and Capacity Management
Researchers have developed a new model for Air Traffic Flow and Capacity Management (ATFCM) that jointly optimizes aircraft trajectories and sector configurations. This approach, encoded using Answer Set Programming (AS…
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Carbon Creates All Things Secures Series A Funding for DAC to e-SAF Project
The company "碳生万物" (Carbon Creates All Things) has successfully closed its Series A funding round, with participation from prominent investors including Yellow River Delta Investment, Gaorong Capital, and Boyuan Capital…
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New DAC framework trains cooperating agents for LLM reasoning
Researchers have introduced DAC, a novel framework for training multi-agent language models that separates evidence acquisition and answer generation into distinct, cooperating agents. This role decomposition addresses …
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MagSafe accessory adds DAC and display for iPhone audio
A new MagSafe accessory for iPhones integrates a digital-to-analog converter (DAC) and a display, designed for users prioritizing high-fidelity wired audio experiences. This device attaches magnetically to the back of t…
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AI model generates drum audio from MIDI using neural codecs
Researchers have developed a new system that converts expressive drum grids, a detailed MIDI format, into realistic drum audio. This method utilizes a Transformer model to predict discrete codes from a neural audio code…
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Dashboard-as-Code tool uses AI agents to generate data visualizations from code
Dashboard-as-Code (DAC) is a new tool that allows developers to define interactive dashboards using YAML or TSX code. It integrates a semantic layer to ensure data consistency and enables AI agents to automatically gene…
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CodecSep enables prompt-driven sound separation in neural audio codec latents
Researchers have developed CodecSep, a new framework for prompt-driven sound separation that operates directly within neural audio codec latent spaces. This approach allows for open-vocabulary separation of audio source…