Agentic AI
A comprehensive technical framework for designing agentic AI systems, exploring core architectural components including planning engines, memory systems, tool integration, and reasoning capabilities that enable autonomous decision-making.
voice cloning
New research uses latent space mixing to generate diverse synthetic voices, addressing underrepresented accents in automatic speech recognition training. The technique improves ASR equity without real voice data from marginalized communities.
deepfake detection
New research introduces semi-supervised learning approach to detect AI-generated images beyond simple real-vs-fake classification, addressing the challenge of identifying images from unknown generative models.
deepfakes
Sumsub reports sophisticated fraud including deepfake attacks increased 180% globally in 2024, with UK deepfake incidents doubling. Identity verification systems face escalating synthetic media threats as fraudsters deploy AI-generated content.
Synthetic Media
New research introduces hierarchical framework for detecting contamination in synthetic training data for foundation models, addressing limitations of surface-level similarity metrics through multi-level analysis of data quality and authenticity.
AI Video Generation
Professional video creators share insights on integrating AI video generation into workflows, revealing both the limitations of current synthetic media tools and emerging use cases in the creative industry.
AI image generation
New iOS app Mixup introduces a Mad Libs-style interface for AI image generation, allowing users to blend photographs, text prompts, and hand-drawn sketches into a single multimodal creation workflow.
Synthetic Media
Researchers develop scene graph-guided framework using diffusion models to synthesize realistic industrial hazard scenarios. Novel approach enables controllable generation and evaluation of safety-critical synthetic imagery with structured semantic control.
TikTok
TikTok launches new preference controls allowing users to adjust how much AI-generated content appears in their feeds, building on its AI labeling system to give users more transparency and control over synthetic media exposure.
Agentic AI
A comprehensive technical breakdown of agentic AI architecture into seven distinct layers, from memory systems to orchestration, providing clarity in an often overhyped field with practical implementation insights.
Computer Vision
AI doesn't perceive images like humans do. Understanding tokenization, embeddings, and attention mechanisms reveals how neural networks process visual data—critical knowledge for developing and detecting synthetic media.
Agentic AI
A technical deep dive into architectural patterns for building autonomous AI agents, exploring reflection, planning, tool use, and multi-agent collaboration patterns with detailed flow diagrams and implementation guidance.