News

Day 1-1,000 for Izesan: “We made no revenue in our first...

AI Observer
News

Microsoft-backed AI outpredicts hurricane experts without crunching physics

AI Observer
News

NVIDIA Releases Cosmos-Reason1: A Suite of AI Models Advancing Physical Common...

AI Observer
News

Google AI Releases MedGemma: An Open Suite of Models Trained for...

AI Observer
News

Step-by-Step Guide to Create an AI agent with Google ADK

AI Observer
News

Sampling Without Data is Now Scalable: Meta AI Releases Adjoint Sampling...

AI Observer
Education

Meta Researchers Introduced J1: A Reinforcement Learning Framework That Trains Language...

AI Observer
News

This AI Paper Introduces PARSCALE (Parallel Scaling): A Parallel Computation Method...

AI Observer
News

Marktechpost Releases 2025 Agentic AI and AI Agents Report: A Technical...

AI Observer
News

A Step-by-Step Implementation Tutorial for Building Modular AI Workflows Using Anthropic’s...

AI Observer
Anthropic

Google previews Android 16’s desktop mode

AI Observer

Featured

Legal & Compliance

The Legal Accountability of AI-Generated Deepfakes in Election Misinformation

AI Observer
News

Guide to Using the Desktop Commander MCP Server

AI Observer
News

A Coding Implementation of an Intelligent AI Assistant with Jina Search,...

AI Observer
Technology

Shortcuts is getting an AI-powered revamp; here’s what that could mean

AI Observer
AI Observer

The Legal Accountability of AI-Generated Deepfakes in Election Misinformation

How Deepfakes Are Created Generative AI models enable the creation of highly realistic fake media. Most deepfakes today are produced by training deep neural networks on real images, video or audio of a target person. The two predominant AI architectures are generative adversarial networks (GANs) and autoencoders. A GAN consists...