Skip to content Skip to sidebar Skip to footer

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…

Read More

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…

Read More

Highlighted at CVPR 2025: Google DeepMind’s ‘Motion Prompting’ Paper Unlocks Granular Video Control

Key Takeaways: Researchers from Google DeepMind, the University of Michigan & Brown university have developed “Motion Prompting,” a new method for controlling video generation using specific motion trajectories. The technique uses “motion prompts,” a flexible representation of movement that can be either sparse or dense, to guide a pre-trained video diffusion model. A key innovation…

Read More

Gemini 2.5 model family expands

[{"model": "blogsurvey.survey", "pk": 9, "fields": {"name": "AA - Google AI product use - I/O", "survey_id": "aa-google-ai-product-use-io_250519", "scroll_depth_trigger": 50, "previous_survey": null, "display_rate": 75, "thank_message": "Thank You!", "thank_emoji": "✅", "questions": "[{\"id\": \"e83606c3-7746-41ea-b405-439129885ead\", \"type\": \"simple_question\", \"value\": {\"question\": \"How often do you use Google AI tools like Gemini and NotebookLM?\", \"responses\": [{\"id\": \"32ecfe11-9171-405a-a9d3-785cca201a75\", \"type\": \"item\", \"value\": \"Daily\"}, {\"id\": \"29b253e9-e318-4677-a2b3-03364e48a6e7\",…

Read More

EmbodiedGen: A Scalable 3D World Generator for Realistic Embodied AI Simulations

The Challenge of Scaling 3D Environments in Embodied AI Creating realistic and accurately scaled 3D environments is essential for training and evaluating embodied AI. However, current methods still rely on manually designed 3D graphics, which are costly and lack realism, thereby limiting scalability and generalization. Unlike internet-scale data used in models like GPT and CLIP,…

Read More

BAAI Launches OmniGen2: A Unified Diffusion and Transformer Model for Multimodal AI

Beijing Academy of Artificial Intelligence (BAAI) introduces OmniGen2, a next-generation, open-source multimodal generative model. Expanding on its predecessor OmniGen, the new architecture unifies text-to-image generation, image editing, and subject-driven generation within a single transformer framework. It innovates by decoupling the modeling of text and image generation, incorporating a reflective training mechanism, and implementing a purpose-built…

Read More