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10 Surprising Things You Can Do with Python’s datetime Module

Image by Author | ChatGPT   Introduction   Python's built-in datetime module can easily be considered the go-to library for handling date and time formatting and manipulation in the ecosystem. Most Python coders are familiar with creating datetime objects, formatting them into strings, and performing basic arithmetic. However, this powerful module, sometimes alongside related libraries…

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This AI Paper Introduces PEVA: A Whole-Body Conditioned Diffusion Model for Predicting Egocentric Video from Human Motion

Understanding the Link Between Body Movement and Visual Perception The study of human visual perception through egocentric views is crucial in developing intelligent systems capable of understanding & interacting with their environment. This area emphasizes how movements of the human body—ranging from locomotion to arm manipulation—shape what is seen from a first-person perspective. Understanding this…

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Google DeepMind Releases Gemini Robotics On-Device: Local AI Model for Real-Time Robotic Dexterity

Google DeepMind has unveiled Gemini Robotics On-Device, a compact, local version of its powerful vision-language-action (VLA) model, bringing advanced robotic intelligence directly onto devices. This marks a key step forward in the field of embodied AI by eliminating the need for continuous cloud connectivity while maintaining the flexibility, generality, and high precision associated with the…

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ByteDance Researchers Introduce VGR: A Novel Reasoning Multimodal Large Language Model (MLLM) with Enhanced Fine-Grained Visual Perception Capabilities

Why Multimodal Reasoning Matters for Vision-Language Tasks Multimodal reasoning enables models to make informed decisions and answer questions by combining both visual and textual information. This type of reasoning plays a central role in interpreting charts, answering image-based questions, and understanding complex visual documents. The goal is to make machines capable of using vision as…

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Gemini 2.5 model family expands

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UC San Diego Researchers Introduced Dex1B: A Billion-Scale Dataset for Dexterous Hand Manipulation in Robotics

Challenges in Dexterous Hand Manipulation Data Collection Creating large-scale data for dexterous hand manipulation remains a major challenge in robotics. Although hands offer greater flexibility and richer manipulation potential than simpler tools, such as grippers, their complexity makes them difficult to control effectively. Many in the field have questioned whether dexterous hands are worth the…

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