Google has introduced Agentic Vision for Gemini 3 Flash, a new capability that improves how the model understands and responds to image-based prompts.

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a combination of symbolic programs and neural networks. These concepts are grounded ...

Google DeepMind has added Agentic Vision to Gemini 3 Flash, enabling active image exploration through Python code execution with 5-10% quality improvements.

Looking for good code examples for LeetCode problems? You’re in luck! Lots of people share their solutions online, especially ...

After Day 7, Italy and Norway were tied once again atop the medal count leaderboard. Both countries had already taken home 18 medals, though Norway had the edge in golds, eight to Italy's six.

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

Gemini’s Agentic Vision adds a think, act, observe loop and Python tools, helping teams audit images faster and cut counting errors.

Google has added agentic vision to Gemini 3 Flash, combining visual reasoning with code execution to "ground answers in visual evidence". According to Google, this not only improves accuracy, but more ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.