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Google DeepMind’s game-changing AI model, TAPIR is revolutionizing the field of computer vision with its unrivaled accuracy in tracking any point on any surface throughout a video sequence. Leverage its open-sourced code on GitHub to experience TAPIR’s two-stage algorithm in action, outperforming baseline methods on benchmarks like TAP-Vid and DAVIS by a significant margin. #tapir
Google DeepMind has developed an AI-powered robot capable of playing and winning ping pong matches against human opponents, demonstrating advanced machine learning techniques. Meanwhile, Boston Dynamics’ Atlas robot is showcasing its impressive strength and agility by performing human-like exercises such as push-ups and burpees. Additionally, scientists are working on a global network of supercomputers designed
Google’s Gemma represents a significant advancement in AI technology, emphasizing ease of use, ethical development, and broad compatibility with existing AI frameworks. This introduction showcases Gemma’s unique position in the AI community, offering pre-trained models and a Responsible Generative AI Toolkit to ensure safe, effective applications. The launch of Gemma underscores Google’s commitment to democratizing
The AI scene is electrified with groundbreaking advancements this month, keeping us all at the edge of our seats. A mind-blowing AI robot with human-like intelligence has the world in shock. Google DeepMind’s JEST AI learns at an astonishing 13x faster pace. OpenAI’s SearchGPT and CriticGPT, the force behind ChatGPT’s prowess, are disrupting industries. STRAWBERRY,
Google has quietly removed its previous commitment to never develop AI weapons or surveillance technology, signaling a major shift in its AI policy. This change comes as the company invests billions into military AI, citing the need for national security and global competition, while OpenAI and other tech giants are also deepening ties with governments.
Introducing Newton robots — a ground-breaking collaboration between NVIDIA, Disney Research, and Google DeepMind! Unveiled at GTC 2025, Newton is an open-source physics engine designed to revolutionize robotic simulations and bring lifelike movements to the next generation of entertainment robots. Powered by NVIDIA’s Warp framework and compatible with DeepMind’s MuJoCo, Newton enables robots to learn
Google DeepMind’s latest innovation, SCoRe (Self-Correction via Reinforcement Learning), enables AI models to fix their own mistakes without human intervention. This new method allows AI systems to improve performance across various domains, including math and coding, by learning from errors and making more meaningful corrections. SCoRe significantly enhances the accuracy and efficiency of AI models,
Google DeepMind’s AI enables robots to perform physical tasks without prior training | AI Anchor Sana | AI SanaGoogle DeepMind is introducing two new AI models to help robots handle a wider variety of real-world tasks. The first, called Gemini Robotics, is a smart system that can understand new situations, even if it hasn’t been
Google DeepMind introduced Gemini Robotics and Gemini Robotics-ER, two formidable AI systems with the potential to revolutionize robotics with impressive vision, language, and action abilities. Built on Gemini 2.0, the systems enable robots to process natural language instructions, learn from dynamic environments, and perform complex physical tasks with incredible precision. In partnership with Apptronik, Boston
This Week’s Unbelievable AI Updates! Amazon’s Alexa has evolved to sound more human-like, and both TikTok and Microsoft have introduced innovative AI features. Noteworthy advancements have emerged from Google DeepMind’s AlphaFold and OpenAI’s DALL-E 3. Additionally, unique developments, such as an emotion-detecting AI for chickens in Japan, have surfaced. Meanwhile, a recent edX survey provides
