Abstract: With the rapid advancement of large language models (LLMs) in code generation, the task of API service invocation code generation faces increasing challenges such as inaccurate context ...
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China Is Obsessed With ‘Lobsters’ That Book Flights & Check Emails: Decoding AI Assistant OpenClaw
OpenClaw is AI assistant designed to perform tasks like booking flights, managing emails. The craze, risks to Beijing's tech ...
Abstract: Cardiovascular disease is a predominant worldwide health risk, often identified too late for successful treatment. To efficiently and accurately detect cardiac illness using structured ...
Abstract: This paper proposes a prediction model based on time series features, focusing on multi-model architecture design and feature fusion methods. First, a theoretical model is constructed to ...
Get instant help from AI Business Central experts right in your favorite AI tool. No more searching docs - just ask and get expert guidance tailored to your specific BC development challenges. If ...
Abstract: Electric load forecasting is a critical technology for optimizing energy distribution and grid management. Current works tend to suffer from the issue of insufficient capture of longterm ...
Anthropic accidentally leaked some source code for Claude Code, its AI-powered coding assistant. The company said the leak did not include sensitive customer data or credentials. Anthropic recently ...
Anthropic accidentally leaked part of the internal source code for its coding assistant Claude Code, according to a spokesperson. The leak could help give software developers, and Anthropic's ...
AI makes software cheaper to build, but understanding real problems matters more than ever. Winning products separate assumptions from reality and continuously learn from real user behavior. The ...
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 ...
Abstract: Breast cancer remains one of the leading causes of mortality among women worldwide, necessitating early and precise detection methods. Traditional models often struggle with imbalanced data, ...
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