Real-time detection of Al-generated images, video and synthetic voice. Trusted by Experian, KPMG and leading financial institutions across 90+ countries.
ImageWhisperer — AI Image Detector
Upload an image. Get the investigation. 41 checks, one verdict, plain-language evidence. By Henk van Ess.
Stanford CS231N Deep Learning for Computer Vision | Spring 2025 | Lecture 1: Introduction
Verify OpenAI-generated images
Verify if an image was generated using OpenAI tools. Upload an image to look for provenance signals like C2PA metadata or SynthID watermarks.
On-device intelligence for every product
We're building a frontier lab for on-device AI. Small, specialized models for audio, vision, and text, faster than the cloud and free.
DeepL Translator | World's Most Accurate Translator
Translate texts & full document files instantly. Accurate translations for individuals and Teams. Millions translate with DeepL every day.
AI Detector — Verified AI Content Checker | Pangram
Detect AI-generated text in essays, articles & documents. Identifies ChatGPT, Claude, Gemini & more with 99.98% accuracy. Third-party verified results.
DeepMind Institute
Bold, well-evidenced thinking on AGI from the lab that pioneered the field. Read the latest essays from the DeepMind Institute.
Dark Cloud Gathers as Bill Comes Due for AI Industry
AI companies are finding they can no longer sustain footing the bill of their heavily vibe coding customers.
proto IM | AIM-inspired video chat for the open web
Free video calls and buddy lists built on the AT Protocol. Like FaceTime, but it works on every device. Works with Blacksky, Bluesky, or any atproto account.
Soulless: List of AI Artists Hiding on Spotify
Soulless: AI music is stealing from real artists. AI music analyzer (open source).
A Bayesian Approach To Analysing Training Data Attribution In Deep Learning
Training data attribution (TDA) techniques find influential training data for the model's prediction on the test data of interest. They approximate the impact of down- or up-weighting a particular training sample. While conceptually useful, they are hardly applicable to deep models in practice, particularly because of their sensitivity to different model initialisation. In this paper, we introduce a Bayesian perspective on the TDA task, where the learned model is treated as a Bayesian posterior and the TDA estimates as random variables. From this novel viewpoint, we observe that the influence of an individual training sample is often overshadowed by the noise stemming from model initialisation and SGD batch composition. Based on this observation, we argue that TDA can only be reliably used for explaining deep model predictions that are consistently influenced by certain training data, independent of other noise factors. Our experiments demonstrate the rarity of such noise-independent training-test data pairs but confirm their existence. We recommend that future researchers and practitioners trust TDA estimates only in such cases. Further, we find a disagreement between ground truth and estimated TDA distributions and encourage future work to study this gap. Code is provided at https://github.com/ElisaNguyen/bayesian-tda.
Text to Image Leaderboard - Top AI Image Models
Find the best Text to Image models, see rankings from blind votes, and compare quality, generation speed, and price in one leaderboard.
Free Background Remover - Offline AI Tool (WebGPU)
Remove image backgrounds instantly and securely in your browser. 100% Offline, 100% Free, Privacy-First, Unlimited HD Downloads. Supports JPG, PNG, WebP.
What's the sound of the printed word? — Was mich beschäftigt
Der YouTube-Algorithmus hat mich mit einem Video über die Bibel überrascht. Ich bin gerade hin- und hergerissen, aber ich muss das Video teilen, weil der Designer im Video über …
