AI

angles = np.linspace(0.0, 2.0 * np.pi, n_particles, endpoint=False, dtype=np.float32) px0_np = 0.4 * np.cos(angles).astype(np.float32) py0_np = (0.7 + 0.15 * np.sin(angles)).astype(np.float32) vx0_np = (-0.8 * np.sin(angles)).astype(np.float32) vy0_np = (0.8 * np.cos(angles)).astype(np.float32) px0_wp = wp.array(px0_np, dtype=wp.float32, device=device) py0_wp = wp.array(py0_np, dtype=wp.float32, device=device) vx0_wp = wp.array(vx0_np, dtype=wp.float32, device=device) vy0_wp = wp.array(vy0_np, dtype=wp.float32, device=device) state_size = (steps + … Read more

Used for casual communication, storytelling, or adult-oriented exchanges, LUX AI Friend provides an environment where users can practice conversations independently. The system is designed to be accessible and easy to understand. This allows the dialogue to grow in complexity without making communication difficult. ⚡️ FAVORITE CONVERSATIONS ⚡️ Candy AI Try Candy AI Unfiltered Chat with … Read more

Mistral AI released Lesser Mistral 4a new model in the Mistral Small family designed to combine several previously separate capabilities into a single deployment target. The Mistral team describes the Small 4 as its first model for integrating related roles The Lesser Mistral for the following instructions, Magistrate thinking, Pixtral understanding is multimodal, and Devstral … Read more

With different learning styles, goals, and comfort levels, finding a course that matches your how-to you read i HARD. Some people need visuals. While others want to jump right into the code. Some need structure, others need flexibility. And many students just want proof of effort at the end in form a certificate. This list … Read more

Residual connections are one of the least-questioned aspects of modern Transformer design. In PreNorm architectures, each layer adds the output back to the active hidden state, which keeps the optimization stable and allows deep models to train themselves. Moonshot AI researchers argue that this general approach also presents a structural problem: all the effects of … Read more

IBM has been released Granite 4.0 1B Speechcombined speech language model it is designed multilingual automatic speech recognition (ASR) again bidirectional automatic speech translation (AST). The release is aimed at business-style applications at the edge where memory, latency, and compute efficiency are just as important as raw benchmark quality. What has changed in Granite 4.0 … Read more

In this tutorial, we build a business AI management system using OpenClaw and Python. We start by setting up the OpenClaw runtime and launching the OpenClaw Gateway so that our Python environment can communicate with the real agent via the OpenClaw API. We then design a governance layer that categorizes requests based on risk, implements … Read more

OpenViking is open source Content Database on AI Agents from Volcengine. The project is built around a simple architectural concept: agent systems should not treat context as a flat collection of text blocks. Instead, OpenViking organizes the context by using a file system paradigmwith the goal of doing memory, resources, and skills it is controlled … Read more

The last two years have been defined by one word: Generative AI. Tools like ChatGPT, Gemini, and Claude turned AI from a technical term into a household name. Howeverwe are now entering the next phase of AI evolution. The conversation is moving away from AI build it to AI that actions. Gone are the days … Read more

Most LLM agents work well for short tool-calling loops but begin to break down when the task becomes multi-step, transparent, and artifact-heavy. This is LangChain’s site Deep Agents that gap is built. This project is described by LangChain as ‘agent thread‘: a standalone library built on top of the LangChain agent building blocks and powered … Read more