- watchOS 27 brings Siri AI and new health tracking to Apple Watch
- Wyze tells customers to stop using this camera immediately over battery fire concerns
- Amazon cuts Garmin Fenix 8, Epix Pro and Forerunner prices
- New Google Home speaker incoming? The Nest Mini and Nest Audio are suddenly hard to find
- I used the AirPods Max 2 — this is the luxury headphone upgrade you need
- Google just pulled the plug on Pixel’s AI image generator
- Galaxy S26 FE leak suggests Samsung is borrowing a Galaxy S26 feature
- TikTokers are swapping their iPhones for Nothing Phones, and I think I understand why
Browsing: generation
Can Google and Samsung redefine smart eyewear with Android XR, or will history repeat with a new generation of ‘Glassholes’?
At Google I/O, we got more hands-on time with Android XR, though in the form of more compact, wearable glasses. Companies such as Xreal and Samsung…
One Model, Three Modalities: ByteDance Releases Lance for Image and Video Understanding, Generation, and Editing
Building a single model that can both understand and generate images and videos is harder than it sounds. The two tasks pull in opposite directions. Understanding…
How to Build Knowledge Graph Generation Pipelines From Text With kg-gen, NetworkX Analytics, and Interactive Visualizations
print(“\n” + “=”*70 + “\n SECTION 6 — NetworkX analytics\n” + “=”*70) def kg_to_networkx(graph): G = nx.MultiDiGraph() for e in graph.entities: G.add_node(e) for s, p, o…
Before you can extract information from documents using intelligent document processing (IDP) techniques, you need a schema for each document class that defines what to extract.…
Beyond BI: How the Dataset Q&A feature of Amazon Quick powers the next generation of data decisions
Business leaders across industries rely on operational dashboards as the shared source of truth that their teams execute against daily. But dashboards are built to answer…
A New NVIDIA Research Shows Speculative Decoding in NeMo RL Achieves 1.8× Rollout Generation Speedup at 8B and Projects 2.5× End-to-End Speedup at 235B
If you have been running reinforcement learning (RL) post-training on a language model for math reasoning, code generation, or any verifiable task, you have almost certainly…
The AI image generation space has been highly competitive over the past 18 months. Models keep improving and replacing each other at the top. Google’s Nano…
A Coding Implementation of Crawl4AI for Web Crawling, Markdown Generation, JavaScript Execution, and LLM-Based Structured Extraction
import subprocess import sys print(“📦 Installing system dependencies…”) subprocess.run([‘apt-get’, ‘update’, ‘-qq’], capture_output=True) subprocess.run([‘apt-get’, ‘install’, ‘-y’, ‘-qq’, ‘libnss3’, ‘libnspr4’, ‘libatk1.0-0’, ‘libatk-bridge2.0-0’, ‘libcups2’, ‘libdrm2’, ‘libxkbcommon0’, ‘libxcomposite1’, ‘libxdamage1’, ‘libxfixes3’,…
Google ADK Multi-Agent Pipeline Tutorial: Data Loading, Statistical Testing, Visualization, and Report Generation in Python
def describe_dataset(dataset_name: str, tool_context: ToolContext) -> dict: print(f”📊 Describing dataset: {dataset_name}”) df = DATA_STORE.get_dataset(dataset_name) if df is None: return {“status”: “error”, “message”: f”Dataset ‘{dataset_name}’ not found”}…
An End-to-End Coding Guide to NVIDIA KVPress for Long-Context LLM Inference, KV Cache Compression, and Memory-Efficient Generation
In this tutorial, we take a detailed, practical approach to exploring NVIDIA’s KVPress and understanding how it can make long-context language model inference more efficient. We…
