#deepmind

#deepmind

Reinforcement learning, pioneered by Barto and Sutton, is now critical to AI and was key in developing advanced systems like ChatGPT.

AlphaEvolve demonstrates that AI models can generate novel and efficient algorithms that surpass human capabilities in specific tasks.

Gemini Robotics enables real-world robotic interactions and navigation, enhancing machine capabilities.

AI development is currently characterized by 'artificial jagged intelligence' (AJI), featuring both impressive capabilities and significant flaws.

AGI is predicted to emerge around 2030, requiring new breakthroughs and approaches in AI development.

Demis Hassabis believes artificial intelligence systems as smart as humans are on the horizon, requiring societal changes.

Google DeepMind introduced Gemini Robotics and Gemini Robotics-ER to enhance robot interaction with the physical world for tasks like helping with household chores.

Gemini Robotics enhances robot flexibility, interactivity, and dexterity for general-purpose assistance.

AG2 AI model significantly outperforms its predecessor and human gold-medalists by solving 84% of geometry problems from past Math Olympiads.

Google introduces AI Co-Scientist to assist biomedical research by generating innovative hypotheses and enhancing collaboration among scientists.

Google's Veo 3 AI video generator excels in creating high-quality videos with realistic audio.

Google's Gemini 2.5 Pro redefines AI performance with enhanced capabilities and multimodal understanding, surpassing competitors in key benchmarks.

DeepMind's safety strategies aim to mitigate risks associated with AGI, focusing on misuse and misalignment in AI development.

DeepMind is addressing risks related to generative AI misuse and misalignment through new cybersecurity strategies.

AI weather models show remarkable accuracy and address the rising frequency of extreme weather due to climate change.