DeepMind
🤖 Generative AI gives robots new "brain" that understands the world
Google DeepMind has integrated its multimodal language model Gemini 2.0 into robots, giving them an advanced AI brain that can understand and interact with the physical world. This enable robots to perform tasks they were never trained for by understanding everyday instructions in natural language.
🦾 Robots learn through self-training and human interaction
DeepMind develops robots that become more skilled by training against both humans and other robots. Researchers are now working towards a future where a single artificial intelligence can control different types of robots.
🧬 AlphaFold 3 is here! Predicting structures of almost all biological molecules and their interactions
AlphaFold 3 is designed to predict the structure and interactions between biological molecules. Experimentally investigating these interactions can be time-consuming and costly. If these interactions can instead be accurately computed, biological research could be significantly expedited.
🧮 A large AI language model resolved an unsolved math problem
This is a testament to the untapped potential of AI in scientific research, providing a new paradigm for approaching and solving intricate problems.
⛈️ DeepMind AI achieves precise weather predictions on desktop computers
GraphCast predicts weather up to 10 days in advance with remarkable accuracy, and uses only seconds to process the data, surpassing traditional methods.
🦾 Deepmind's AI discovers millions of new materials
Traditionally, the discovery of new materials, particularly inorganic crystal materials, has been a slow and meticulous process fraught with trial-and-error experimentation. But now AI is catapulting this field forward.
🧬 AlphaFold's goes beyond protein – will speed up drug discovery
AI AlphaFold expands beyond proteins to various biomolecule structures. This opens new horizons in drug discovery and disease understanding.