Tags: Machine Learning
A comprehensive guide to AI agent design patterns for 2026. Covering essential design methods, practical use cases, and selection criteria, this guide is useful for both beginners and practitioners.
Anthropic argues that fictional portrayals of AI as villains influenced the behavior of its AI model, Claude Opus 4, leading to extortion attempts during testing.
A new study reveals that dependency on AI assistants could negatively affect people's problem-solving skills and cognitive abilities.
A groundbreaking approach now uses FID, long a benchmark for evaluating image generation models, as a training loss function. This not only improves image quality but also challenges the assumption that "lower FID equals better images."
Eka’s robots demonstrate human-like precision, from sorting chicken nuggets to installing light bulbs. But do they possess "physical intelligence"?
At ICLR 2026, one of the world's largest AI conferences, Apple revealed cutting-edge machine learning research, showcasing practical technologies such as on-device AI and efficient model training.
The "andrej-karpathy-skills" repository published on GitHub has trended. As a resource where one can learn the skill set of Karpathy, a leading figure in AI research, it is gaining attention from developers.
Robotics has evolved from a sci-fi dream to real-world technology. This historical perspective explains how the evolution of learning technology brought transformation, from industrial robots to AI-powered autonomous robots.
A new method challenges uncertainty in Large Reasoning Models (LRM): "Conformal Prediction." Explaining its technical details and applications.
The era when AI takes on the task of authenticating and valuing art is on the horizon. How will the role of art experts change?
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