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Ant Group’s Robbyant Unveils LingBot-VA 2.0: A Causal Video-Action Model Built Natively for Physical AI

RoboticsJuly 20, 202611Views 0Likes 0Comments

Robbyant, the embodied AI unit inside Ant Group, has released the LingBot-VA 2.0.The first embodied-native foundation model. It describes a video-action foundation model for generalist robot manipulation. The research team pretrains the whole stack for embodiment instead of fine-tuning a video generator. What is LingBot-VA 2.0? Most video-action models reuse two components built for digital…

Stop Using If-Else Chains: Use the Registry Pattern in Python Instead

Data AnalyticsJuly 16, 202613Views 0Likes 0Comments

# Introduction Every Python codebase has this problem. A function that starts small. Two branches, maybe three. Then someone adds a case, someone else adds another, and a year later you've got 200 lines of if/elif/else that nobody wants to touch. Here's an example: def get_model(name): if name == "logreg": …

Tools to understand how content was created and edited

OpenAIJuly 15, 202611Views 0Likes 0Comments

As generative media becomes more advanced and accessible, it’s helpful to know where content comes from, and whether it’s been altered. Today, we’re expanding our content transparency and verification tools in Search, Gemini, Chrome, Pixel and Cloud, and deepening our partnership with the broader industry. Scaling our technology Three years ago, we introduced SynthID, our…

Mistral AI Releases Robostral Navigate: An 8B Model Enabling Robots to Navigate Complex Environments Using a Single RGB Camera

RoboticsJuly 15, 202618Views 0Likes 0Comments

Mistral AI has released Robostral Navigate, its first model built for embodied navigation. The 8B model takes RGB images and a plain-language instruction, then moves a robot. Notably, it reaches 76.6% success on R2R-CE validation unseen using only a single RGB camera. What is Robostral Navigate? Robostral Navigate is an 8B model for robotic navigation…

Fine-Tuning Explained for Noobs (How Pretrained Models Learn New Skills)

Data AnalyticsJuly 11, 202614Views 0Likes 0Comments

# Inroduction This article is part of my noob series where we write about the questions people Google most but may not understand well because of complex math and everything. So, if you are here, you might have heard fine-tuning somewhere in the context of large language models (LLMs) especially. This concept already…

NVIDIA’s Cosmos-Framework Tutorial: Designing a Colab-Friendly Miniature of Cosmos 3 World Models with Omnimodal Mixture-of-Transformers

AI NewsJuly 10, 202611Views 0Likes 0Comments

import torch.nn as nn import torch.nn.functional as F from dataclasses import dataclass torch.manual_seed(0) @dataclass class Cfg: d_model: int = 192 n_head: int = 6 n_layer: int = 4 ffn_mult: int = 2 n_mod: int = 3 …

Powering the future of robotics in Europe

OpenAIJuly 10, 202613Views 0Likes 0Comments

AI has the potential to help solve some of the world’s biggest challenges — not just in the digital realm, but in the physical world, too. Robotics is one of the most exciting frontiers of AI, where advances in language, vision and action models can help create intelligent machines that interact with the real world…

Getting Started with the Claude API in Python

Data AnalyticsJuly 6, 202615Views 0Likes 0Comments

# Introduction You want to add Claude to a Python application. Creating an account and making your first API call is straightforward. The official documentation can get you from zero to a working request in a few minutes. The next questions are usually more practical: What does the response object contain? How do…

Google DeepMind and A24 launch research partnership

OpenAIJuly 5, 202612Views 0Likes 0Comments

Today, Google DeepMind and A24 are announcing a first-of-its-kind partnership focused on research. The collaboration pairs a world-leading research lab with the industry’s most filmmaker-forward studio to help artists develop new workflows and techniques. This ensures the tools of the future are shaped by the creators who use them. This partnership creates a deep research…

NVIDIA AI Introduces ASPIRE: A Self-Improving Robotics Framework Reaching 31% Zero-Shot on LIBERO-Pro Long Tasks

RoboticsJuly 5, 202620Views 0Likes 0Comments

Traditional robot programming is hard to scale. It requires orchestrating multimodal perception, physical contact dynamics, diverse configurations, and execution failures by hand. Code-as-policy systems let language models compose these into executable robot programs. That makes robot behavior inspectable, editable, and debuggable. But existing robotic coding agents run in naive execution environments. They receive only coarse,…