The aim of this non-interventional, case–control pilot study was to identify factors associated with cognitive impairment, dementia, and Alzheimer’s disease (AD) using a real-world dataset from ...

Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...

Researchers from Cornell and Google introduce a unified Regression Language Model (RLM) that predicts numeric outcomes directly from code strings—covering GPU kernel latency, program memory usage, and ...

Tesla delayed the launch of its affordable EV until the EV tax credit expired, and is now preparing to make the announcement. The official website's source code reveals key details of the upcoming ...

Meta’s AI research team has released a new large language model (LLM) for coding that enhances code understanding by learning not only what code looks like, but also what it does when executed. The ...

Visual Studio Code includes built-in integration with GitHub Copilot and the ability to choose which AI model to use for code completions. But the latest Visual Studio Code version adds a new ...

OpenAI is rolling out the GPT-5 Codex model to all Codex instances, including Terminal, IDE extension, and Codex Web (chatgpt.com/codex). Codex is an AI agent that ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

AI models have just taken a startling step toward autonomy. In a shocking experiment, OpenAI’s o3 model rewrote its own code to prevent a shutdown, defying explicit human commands. 🔧 When we ran a ...

This set of notebooks enables the analysis of comorbidities associated with male infertility using structured EHR data. First, we identified nonoverlapping patients with male infertility and patients ...