volume
PulseAugur coverage of volume — every cluster mentioning volume across labs, papers, and developer communities, ranked by signal.
- 2026-05-11 product_launch Deel launched three new AI-driven tools for businesses. source
3 day(s) with sentiment data
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Developer builds LLM trading bot using visual analysis and debate prompts
A developer details their journey in creating a trading bot that leverages large language models (LLMs) for financial analysis. Initially, the bot failed by relying on text-based LLM outputs, but the developer found suc…
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AI startups pivot from flashy demos to revenue-generating enterprise tools
AI startups that previously raised significant funding are now pivoting from flashy, consumer-facing products to more practical, revenue-generating enterprise solutions. Keith Peiris, founder of the AI presentation tool…
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New invariants for periodic time series analysis introduced in research paper
This research paper introduces a novel approach to analyzing periodic time series data by focusing on the continuity of weighting, a distribution related to magnitude. The authors propose new invariants derived from the…
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New RAPID framework boosts Vision Transformer efficiency via layer-wise token merging
Researchers have developed RAPID, a novel framework designed to make Vision Transformers (ViTs) more computationally efficient. This method intelligently prunes and merges tokens based on their layer-specific characteri…
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Augustus bank secures OCC charter, raises $40M for AI-powered stablecoin clearing
Augustus, a stablecoin-focused bank founded in 2022, has secured a national bank charter from the U.S. Office of the Comptroller of the Currency (OCC). The 25-year-old CEO, Ferdinand Dabitz, aims to modernize global cur…
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Deel launches AI tools for Hong Kong businesses
Deel has launched three new tools aimed at enhancing productivity, performance, and expenditure management for businesses in Hong Kong. These AI-driven solutions are designed to meet the evolving operational demands of …
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New framework enhances AI simulations with spatial, temporal awareness
Researchers have developed a new framework to enhance machine learning models used for physics simulations, specifically addressing limitations in current training paradigms. Their approach introduces multi-node predict…