OpenAI wants to retire the leading AI coding benchmark—and the reasons reveal a deeper problem with how the whole industry measures itself.

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.

According to Moderne, this extends OpenRewrite coverage from backend and frontend application code into the data and AI layer ...

Abstract: Software reverse analysis is a key technology in the field of cyber-security. With the increasing scale and complexity of software, this technology is facing great challenges. Binary code ...

Metis is an open-source, AI-driven tool for deep security code review, created by Arm's Product Security Team. It helps engineers detect subtle vulnerabilities, improve secure coding practices, and ...

Anthropic launched its latest AI model, Claude Opus 4.6, which is better at coding, sustaining tasks for longer and creating higher-quality professional work, the company said. The company's models ...

Roblox has a bunch of shooter games, but none are as pumping as Hypershot. This high-intensity, full-rush action game is all about who can shoot the most bodies to dominate the lobby. To be the best, ...

In this tutorial, we build a memory-engineering layer for an AI agent that separates short-term working context from long-term vector memory and episodic traces. We implement semantic storage using ...

It wasn't classic black or navy blue that accompanied Denise Bidot for her recent beach appearance, but an intense, luminous, almost incandescent orange. This vibrant hue naturally draws the eye, ...

Abstract: Large Language Models (LLMs) can translate natural language requirements into code, yet empirical analyses of representative models reveal that semantic errors—programs that compile but ...

Moonshot debuted its open-source Kimi K2.5 model on Tuesday. It can generate web interfaces based solely on images or video. It also comes with an "agent swarm" beta feature. Alibaba-backed Chinese AI ...

Research has focused on Multi-Modal Semantic Segmentation (MMSS), where pixel-wise predictions are derived from multiple visual modalities captured by diverse sensors. Recently, the large vision model ...