Google's DeepMind, in collaboration with the Massachusetts Institute of Technology (MIT), recently announced a significant research breakthrough. The research team developed a new autoregressive model called 'Fluid', which has made groundbreaking progress in the field of text-to-image generation. After scaling up to 10.5 billion parameters, the model has demonstrated outstanding performance. This research overturns the industry's common perception; while autoregressive models have dominated the language processing domain, they have traditionally been seen as inferior to Stable Diffusion and Goog.

Recently, Tim Brooks, the research head of OpenAI's Sora video generation system, announced on social media that he will be joining Google DeepMind to continue his work on video generation and the world simulator. Brooks expressed his excitement about collaborating with a talented team like DeepMind and thanked OpenAI for the wonderful two years he spent there, especially for the achievements made in the Sora project.

Recently, researchers from the Mila Institute, Google DeepMind, and Microsoft Research conducted an in-depth investigation into the reasoning capabilities of AI language models. They found that small and inexpensive models exhibit significant shortcomings when addressing complex problems. The study utilized a test called 'Combinatorial GSM' to evaluate how these models perform in solving chain-based foundational math problems. Image source note: Image generated by AI, image licensed through Midjourney.

Recently, Google DeepMind announced its latest AI system - AlphaChip. This system is dedicated to accelerating and optimizing the development of computer chips, and the chip layouts designed by AlphaChip have already been implemented in Google's AI accelerators. AlphaChip operates similarly to what we have previously heard about AlphaGo and AlphaZero, utilizing reinforcement learning techniques to quickly generate optimized chip layouts. According to Google DeepMi

The Google DeepMind research team has recently achieved a significant breakthrough with the development of an innovative technology called SCoRe (Self-Correction through Reinforcement Learning). This technology aims to address the long-standing challenge of large language models (LLMs) struggling to self-correct, enabling them to identify and fix errors without relying on multiple models or external checks. The core of SCoRe's technology lies in its two-phase approach. The first phase optimizes the model.

In a recent podcast, DeepMind co-founder Demis Hassabis shared his views on the current state of artificial intelligence development. He believes that the capabilities of AI are overly emphasized and exaggerated by the public, leading to some noise. The public's understanding of the significance of AI's future is an outlandish experience. Hassabis expressed surprise at the ability of AI models to infer real-world information based solely on language learning. He noted that many individuals and startups claim functionalities that current technology cannot deliver, referring to these as 'crazy ideas.' Hassabis believes that the long-term potential of AI...

Scientists from Harvard University and Google's DeepMind AI Lab have collaborated to create a virtual AI mouse, which is not only a technological breakthrough but may also open up a new field called "Virtual Neuroscience". The significance of this research lies in its potential to not only help us understand how the brain controls complex body movements but also to have a profound impact on neuroscience and robotics. Virtual Rat: AI Brain for Agile Movements Imitating the Evolutionary Miracle: T

["Google DeepMind plans to relaunch the Gemini AI model portrait generation feature", "CEO Demis Hassabis stated that the issues are being fixed", "The feature will be back online in the coming weeks", "The Gemini AI model will bring more possibilities for portrait generation"]

["Google DeepMind has released GraphCast, a global weather AI model that accurately predicts the weather for the next 10 days in just 1 minute.", "Trained on data from the European Centre for Medium-Range Weather Forecasts, it boasts an accuracy rate of over 90%.", "The model is open source, driving significant advancements in the field of weather forecasting.", "GraphCast demonstrates superior performance in extreme weather prediction and cyclone tracking.", "This model marks an innovative step forward in the field of weather forecasting, providing a powerful tool for future meteorological research."]

["Google DeepMind has released AlphaMissense, focusing on analyzing the impact of DNA mutations, providing new tools for medical research.","AlphaMissense combines natural language processing with biological knowledge, aiding in the diagnosis and treatment of hereditary diseases.","The model predicts the pathogenicity of missense gene variants with high accuracy, achieving an astonishing accuracy rate of 90%.","AlphaMissense operates more like a language model trained in biology."]