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.
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.
agentic AI
Comprehensive research paper examines security vulnerabilities in autonomous AI agents, detailing attack vectors, defense strategies, and evaluation methods for protecting agentic systems from adversarial threats.
AI Personalization
New research introduces Jarvis, a personalized AI assistant using KV-cache retrieval to maintain long-term context about users. The system achieves significant efficiency gains while enabling more personalized interactions through novel caching architecture.
AI video
New reinforcement learning optimizations could dramatically accelerate training for video generation models, making real-time deepfake detection and creation more feasible.