If you’ve ever faced the challenge of extracting Exchange mailboxes data from an offline EDB file, you know how painful the process can be. PowerShell cmdlets fail, native tools have…
# Introduction
I know that when beginners start learning machine learning, things seem easy at first. You follow a tutorial that asks you to load a dataset, train…
class MolmoActVisualizer:
"""Visualization utilities for MolmoAct outputs"""
def __init__(self, figsize: Tuple[int, int] = (12, 8)):
self.figsize = figsize
…
Today, we are introducing Gemma 4 12B, our latest model designed to bring agentic multimodal intelligence directly to laptops. Bridging the gap between our edge-friendly E4B and our more advanced…
Current end-to-end robotic policies, specifically Vision-Language-Action (VLA) models, typically operate on a single observation or a very short history. This ‘lack of memory’ makes long-horizon tasks, such as cleaning a…
# Introduction
An LLM engineer is not the same thing as a general machine learning engineer. Where a machine learning engineer might spend months training a neural network…
Zyphra has released Zamba2-VL, a family of open vision-language models. The release covers three sizes: 1.2B, 2.7B, and 7B parameters. Each model is built on the Zamba2 hybrid SSM–Transformer backbone.…
Twenty years ago, translation at Google began as one of our pioneering machine learning experiments to turn the science of language into the magic of human connection. That experiment has…
The Qwen team has released three embodied AI models, grouped as Qwen-Robot-Suite. The three are Qwen-RobotManip, Qwen-RobotWorld, and Qwen-RobotNav. Each is built on a Qwen vision-language backbone and targets a…
# Introduction
Most teams discover they need a feature store the hard way. A fraud model works in the notebook and quietly breaks in production. A support agent…