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 ...

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 ...

Anthropic is releasing a new artificial intelligence model that is designed to code longer and more effectively than prior versions, its latest attempt to stay ahead of rivals such as OpenAI in ...

Anthropic is releasing a new artificial intelligence model that is designed to code longer and more effectively than prior versions, its latest attempt to stay ahead of rivals like OpenAI in offering ...

According to @AIatMeta, Meta FAIR has introduced the Code World Model (CWM), a 32-billion-parameter research model engineered to advance world modeling in code ...

Paper proposes few-shot prompting to invert black-box LLMs, generating prompts that trigger vulnerable code output, creating a benchmark for AI code security. (1) Hossein Hajipour, CISPA Helmholtz ...

The MoE approach activates only a subset of the model’s parameters for any given inference, delivering state-of-the-art performance with dramatically reduced computational overhead and enabling ...

Kimi K2, launched by Moonshot AI in July 2025, is a purpose-built, open-source Mixture-of-Experts (MoE) model—1 trillion total parameters, with 32 billion active parameters per token. It’s trained ...

This repository is supplementary to our paper, CompilerDream: Learning a Compiler World Model for General Code Optimization [Arxiv]. We provide the code of our experiments, along with the training ...

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you understand ...