GenAI models have reached a point where the line between real and synthetic imagery is almost indistinguishable. Systems such as Sora and Gemini Nano Banana can preserve individual characters across ...

Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook Alibaba’s Tongyi Qianwen team has added two new dense models—2B and 32B—to its Qwen3-VL family, ...

On Wednesday, Anthropic released Claude Haiku 4.5, a small AI language model that reportedly delivers performance similar to what its frontier model Claude Sonnet 4 achieved five months ago but at one ...

Viraaj is a spirited gamer, lifelong PlayStation main, huge petrolhead, but most importantly, a principled journalist. With experience at publications like FandomWire, HotCars, and DriveTribe, writing ...

DeepSeek's R1 model attracted global attention in January Article in Nature reveals R1's compute training costs for the first time DeepSeek also addresses claims it distilled OpenAI's models in ...

Visual Studio Code includes built-in integration with GitHub Copilot and the ability to choose which AI model to use for code completions. But the latest Visual Studio Code version adds a new ...

Microsoft Research has developed a new reinforcement learning framework that trains large language models for complex reasoning tasks at a fraction of the usual computational cost. The framework, ...

Understanding how the brain builds internal representations of the visual world is one of the most fascinating challenges in neuroscience. Over the past decade, deep learning has reshaped computer ...

Microsoft announced two related updates for Visual Studio: support for bringing your own model (BYOM) to Copilot Chat and general availability of the Model Context Protocol (MCP) client in the IDE.

The rise in Deep Research features and other AI-powered analysis has given rise to more models and services looking to simplify that process and read more of the documents businesses actually use.

This research combines deep learning, visual question answering (VQA), and informed learning to bridge the gap between human-level understanding and machine-driven crop diagnostics. ILCD integrates a ...