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π0 Released and Open Sourced: A General-Purpose Robotic Foundation Model that could be Fine-Tuned to a Diverse Range of Tasks

Robots are usually unsuitable for altering different tasks and environments. General-purpose models of robots are devised to circumvent this problem. They allow fine-tuning these general-purpose models for a wide scope of robotic tasks. However, it is challenging to maintain the consistency of shared open resources across various platforms. Success in real-world environments is far from…

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AGI in 2025 |Do you think what matters today will still matter in the coming months? TL;DR: No! | by M. Pajuhaan | Jan, 2025

OpenAI, Sam Altman, Elon Musk, xAI, Anthropic, Gemini, Google, Apple… all these companies are racing to build AGI by 2025, and once achieved, it will be replicated by dozens of others within weeks. The idea of creating a compressed knowledge base of humanity, extracting information, and iterating on outputs to optimize results is no longer…

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ByteDance Proposes OmniHuman-1: An End-to-End Multimodality Framework Generating Human Videos based on a Single Human Image and Motion Signals

Despite progress in AI-driven human animation, existing models often face limitations in motion realism, adaptability, and scalability. Many models struggle to generate fluid body movements and rely on filtered training datasets, restricting their ability to handle varied scenarios. Facial animation has seen improvements, but full-body animations remain challenging due to inconsistencies in gesture accuracy and…

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Distributed Tracing: A Powerful Approach to Debugging Complex Systems | by Hareesha Dandamudi | Dec, 2024

Why distributed tracing is the key to resolving performance issues (Image by Author) - Distributed tracing — ideaMy articles are free for everyone to read! If you don’t have a Medium subscription, feel free to explore the full article directly on my blog: https://blog.bytedoodle.com/distributed-tracing-a-powerful-approach-to-debugging-complex-systems/ M odern applications are increasingly built using microservices, where hundreds of…

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Heavy Machinery and AI are Going to Disrupt Traditional Industries

The convergence of artificial intelligence and advanced machinery is poised to transform traditional industries in ways few could have imagined just a decade ago. From construction sites to manufacturing plants, the integration of AI-powered systems with heavy equipment is creating new paradigms of efficiency and productivity while simultaneously raising important questions about the future of…

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Introducing GS-LoRA++: A Novel Approach to Machine Unlearning for Vision Tasks

Pre-trained vision models have been foundational to modern-day computer vision advances across various domains, such as image classification, object detection, and image segmentation. There is a rather massive amount of data inflow, creating dynamic data environments that require a continual learning process for our models. New regulations for data privacy require specific information to be…

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