Alibaba has released Qwen3-Max, a trillion-parameter Mixture-of-Experts (MoE) model positioned as its most capable foundation model to date, with an immediate public on-ramp via Qwen Chat and Alibaba ...

Google Research introduces in-context fine-tuning (ICF) for time-series forecasting named as ‘TimesFM-ICF): a continued-pretraining recipe that teaches TimesFM to exploit multiple related series ...

IBM researchers, together with ETH Zürich, have unveiled a new class of Analog Foundation Models (AFMs) designed to bridge the gap between large language models (LLMs) and Analog In-Memory Computing ...

The Universal Tool Calling Protocol (UTCP) is a lightweight, secure, and scalable way for AI agents and applications to find and call tools directly, without the need for additional wrapper servers.

Google has released a public preview of “Chrome DevTools MCP,” a Model Context Protocol (MCP) server that lets AI coding agents control and inspect a real Chrome instance—recording performance traces, ...

Across domains, the research team showcase up to 66% absolute improvement over untuned baselines. Detailed validator feedback outperforms binary signals, and longer feedback budgets further help. PDDL ...

Anthropic released Claude Sonnet 4.5 and sets a new benchmark for end-to-end software engineering and real-world computer use. The update also ships concrete product ...

Introduction Qwen has unveiled Qwen3-Coder-480B-A35B-Instruct, their most powerful open agentic code model released to date. With a distinctive Mixture-of-Experts (MoE) architecture and comprehensive ...

CloudFlare AI team just open-sourced VibeSDK, a full-stack “vibe coding” platform that you can deploy end-to-end with a single click on Cloudflare’s network or... Modern software development is ...

Shobha is a data analyst with a proven track record of developing innovative machine-learning solutions that drive business value.

Vibe Coding is redefining the software landscape by harnessing artificial intelligence to make code creation faster, more intuitive, and accessible to virtually anyone. In 2025, this trend has moved ...

The research introduced a two-phase training process. First, they used supervised fine-tuning (SFT) on high-quality trajectories sampled from Claude-4 Sonnet using rejection sampling, effectively ...