Explore the data robots need to learn, from egocentric video and motion capture to teleoperation, retargeting, and safety evaluation.
What Robots Eat: There’s No Such Thing as a Free Lunch When You’re Training Robots Read More »
Explore six questions for aligning agents with enterprise context, controls, systems, evaluation, and oversight.
Six Questions to Ask Before Deploying an AI Agent into an Enterprise Workflow Read More »
Innodata’s ICAB benchmark evaluates how well LLMs understand implicit cultural context across languages, locales, and multimodal tasks.
What’s in a Benchmark? Rethinking “Thinking” in Long Context Conversations Read More »
Innodata’s ICAB benchmark evaluates how well LLMs understand implicit cultural context across languages, locales, and multimodal tasks.
Cultural Alignment of LLMs Is More Than Just Trivia. It’s Applied Understanding. Read More »
Why AI systems favor average results over the best ones, and how robust reinforcement learning improves real-world performance.
The Hidden Problem with AI Optimization and Sampling Read More »
How kinematics-based motion analysis improves data labeling, automated quality control, and computer vision models for fitness and robotics.
AI Can Count Aircraft from Space. Understanding Them Requires a World Model Read More »
