deep learning
Deep dive into the technical foundations of training neural networks, covering backpropagation, gradient descent, optimization algorithms, and the mathematical principles that power modern AI systems from video generation to deepfakes.
neural networks
Deep dive into activation functions, the mathematical components that enable neural networks to learn complex patterns. Explores ReLU, sigmoid, tanh, and modern variants with technical implementation details.
LLM
Large language models sometimes generate plausible-sounding but false information. Understanding the technical causes of AI hallucinations is crucial for building reliable synthetic media systems and detecting AI-generated misinformation.
deepfakes
Cybercriminals are deploying 'deepfake sentinels'—test attacks using synthetic media to probe and map detection capabilities before launching real fraud campaigns. This adversarial reconnaissance reveals critical vulnerabilities in authentication systems.
deepfakes
A manipulated video falsely showing India's Home Minister Amit Shah claiming the military is exclusively for Hindus has been identified as a deepfake, highlighting ongoing challenges in political misinformation and synthetic media detection.
deepfakes
AI-generated deepfake videos impersonating prominent physicists spread false claims about an interstellar object, demonstrating sophisticated misuse of synthetic media to amplify scientific misinformation.
deepfakes
Deepfake video circulates showing journalist Amish Devgan appearing to touch politician Amit Shah's shoe—a fabricated scene highlighting AI manipulation risks in political content and the urgent need for detection mechanisms.
multimodal AI
Large language models struggle with long documents due to context window limits. New research shows converting text to images before processing could dramatically improve AI's ability to handle vast amounts of information.
Generative AI
Researchers introduce mathematical framework for understanding how generative AI models create intermediate outputs between training data points, with implications for video generation and synthetic media quality.
AWS
Amazon Web Services launches Project Rainier, a massive supercomputer cluster built with custom Trainium2 chips designed specifically for training Anthropic's Claude foundation models at unprecedented scale.
OCR
DeepSeek-OCR introduces efficient optical character recognition with competitive performance at reduced computational costs, demonstrating how architectural innovations can democratize AI capabilities previously requiring massive resources.
Symbolic AI
Exploring the technical foundations of symbolic AI and how it differs from neural networks. This deep dive examines knowledge representation, logical reasoning, and hybrid architectures that combine symbolic and subsymbolic approaches.