This is the API Reference for Amazon Rekognition Image, Amazon Rekognition Bulk Image Analysis, Amazon Rekognition Custom Labels, Amazon Rekognition Stored Video, Amazon Rekognition Face Liveness, Amazon Rekognition Streaming Video. It provides descriptions of actions, data types, common parameters, and common errors.
Emotion - Amazon Rekognition
This is the API Reference for Amazon Rekognition Image, Amazon Rekognition Custom Labels, Amazon Rekognition Stored Video, Amazon Rekognition Streaming Video. It provides descriptions of actions, data types, common parameters, and common errors.
Image generation | OpenAI API
Learn how to generate or edit images with the OpenAI API and image generation models.
The Ultra-Realistic AI Face Swapping Platform Driving Romance Scams
Capable of creating “nearly perfect” face swaps during live video chats, Haotian has made millions, mainly via Telegram. But its main channel vanished after WIRED's inquiry into scammers using the app.
openai/openai-realtime-agents
This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.
MiniMaxAI/OctoCodingBench · Datasets at Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Maintain the unmaintainable - a Hugging Face Space by transformers-community
This application visualizes how over 400 machine learning models in the Transformers library are connected and related to each other. Users can see which models are derived from or import features ...
Inside ICE’s Supercharged Facial Recognition App of 200 Million Images
404 Media has seen user manuals for Mobile Fortify, ICE’s new facial recognition app which allows officers to instantly look up DHS, State Department, and state law enforcement databases by just pointing a phone at someone’s face.
AI-synthesized faces are indistinguishable from real faces and more trustworthy
Artificial intelligence (AI)–synthesized text, audio, image, and video are being weaponized for the purposes of nonconsensual intimate imagery, financial fraud, and disinformation campaigns. Our evaluation of the photorealism of AI-synthesized faces indicates that synthesis engines have passed through the uncanny valley and are capable of creating faces that are indistinguishable—and more trustworthy—than real faces.
AI-synthesized faces are indistinguishable from real faces and more trustworthy
Artificial intelligence (AI)–synthesized text, audio, image, and video are being weaponized for the purposes of nonconsensual intimate imagery, financial fraud, and disinformation campaigns. Our evaluation of the photorealism of AI-synthesized faces indicates that synthesis engines have passed through the uncanny valley and are capable of creating faces that are indistinguishable—and more trustworthy—than real faces.
mem-agent: Persistent, Human Readable Memory Agent Trained with Online RL
A Blog post by Dria on Hugging Face
badlogic/pi-share-hf
Collect, review, and upload redacted pi session files to a Hugging Face dataset
"AI" centralization
So it seems like NVIDIA has agreed to buy Hugging Face. NVIDIA is the company building most of the chips used in “AI” data centers and Hugging face runs probably the biggest repository for data sets and open weight “AI” models in the world (Hugging Face also offers inference but not at relevant rates and […]
Meta's smart glasses companion app ships a complete, dormant face-recognition pipeline on a stock account.
Stella is the companion app for Meta's smart glasses. Inspecting version 273.0.0.21 of the Android build (com.facebook.stella), I found the entire computational and storage stack for on-device facial recognition: three face models, a local database schema, a cosine-similarity vector index dimensioned to match the models,
