AI

Google DeepMind’s research team has unveiled Gemini Robotics-ER 1.6, a significant development in its integrated thinking model designed to act as the ‘cognitive brain’ of robots operating in real-world environments. The model focuses on the critical thinking capabilities of robots, including visual and spatial perception, task planning, and success detection – serving as a high-level … Read more

Google recently announced the release of the Skills in Chromea new feature built into Gemini in Chrome that allows users to save frequently used AI information as reusable, one-click workflows called Skills. The first release on April 14, 2026, is aimed at Mac, Windows, and ChromeOS users who have their Chrome language set to English-US. … Read more

This is not a very good time for administrators. The status quo is: Wait, did things just get worse faster than we expected? Currently, regulators in the UK are looking forward to controlling what appears to be an alarming leap in the use of AI. The model created by Anthropic has apparently been able to … Read more

Video editing has always had a dirty secret: removing an object from images is easy; making the scene look like it never happened is brutally difficult. Take out the man with the guitar, and you’re left with a floating instrument that defies gravity. Hollywood VFX teams spend weeks fixing this type of problem. A team … Read more

print(“n” + “=” * 70) print(“🤖 SECTION 8: Multi-Tool Agentic Loop”) print(“=” * 70) print(“Build a complete agent that can use multiple tools across turns.n”) class GLM5Agent: def __init__(self, system_prompt: str, tools: list, tool_registry: dict): self.client = ZaiClient(api_key=API_KEY) self.messages = [{“role”: “system”, “content”: system_prompt}] self.tools = tools self.registry = tool_registry self.max_iterations = 5 def chat(self, … Read more

In the current state of computer vision, a common operating procedure involves a modular ‘Lego brick’ approach: a vision encoder pre-trained for feature extraction paired with a separate decoder for task prediction. Although effective, this separation of structures makes it difficult to measure and hinders the interaction between language and vision. I Technology Innovation Institute … Read more

In this tutorial, we build a complete end-to-end pipeline using NVIDIA Model Optimizer train, prune, and fine-tune a deep learning model directly in Google Colab. We start by setting up the environment and prepare the CIFAR-10 dataset, then define the ResNet architecture and train it to establish a solid foundation. From there, we use FastNAS … Read more

The landscape of open source artificial intelligence has shifted from generative models to systems capable of complex, multi-step reasoning. Although ‘consultative’ ownership models dominate the discussion, Arce AI he has released The Trinity is a Great Thought. This release is an open-weighted logic model distributed under the Apache License 2.0setting it up as an obvious … Read more

Run the latest open Google omni models quickly on NVIDIA RTX AI PCs, from the NVIDIA Jetson Orin Nano, the GeForce RTX desktop to the new DGX Spark, to build your own AI assistants, which always work like OpenClaw without paying a huge “token tax” for every action. The landscape of modern AI is changing … Read more

IBM announced the release of the Granite 4.0 3B Visiona visual language model (VLM) designed specifically for the extraction of business-level document data. From the monolithic approach of large multimodal models, the release of 4.0 Vision was created as a special adapter designed to deliver high-fidelity visual thinking Granite 4.0 Micro the backbone of the … Read more