Source: https://deepmind.google/discover/blog/

Source: https://deepmind.google/discover/blog/

Source: https://deepmind.google/discover/blog/

Source: https://deepmind.google/discover/blog/

Google is releasing two updated production-ready Gemini models, Gemini-1.5-Pro-002 and Gemini-1.5-Flash-002, with a reduced price on the 1.5 Pro model. The new models include improved overall quality, with larger gains in math, long context, and vision. The models are available for free via Google AI Studio and the Gemini API, and for larger organizations and Google Cloud customers, they are available on Vertex AI.

Source: https://deepmind.google/discover/blog/

Google is empowering YouTube creators with generative AI models, Veo and Imagen 3, through Dream Screen. The models are built on nearly a decade of innovation at Google and are optimized for wide-scale use. The technology is being made more accessible to millions of creators and billions of users worldwide over the next few months.

Source: https://deepmind.google/discover/blog/

Researchers have developed two new AI systems, ALOHA Unleashed and DemoStart, to help robots learn complex tasks that require dexterous movement. These systems enable robots to perform tasks such as two-armed manipulation, which is crucial for robots to be useful in people's daily lives.

Source: https://deepmind.google/discover/blog/

AlphaFold, a technology, solved the problem of predicting protein structures in minutes, with remarkable accuracy, helping researchers understand protein functions and interactions. This breakthrough allows for redirecting time and resources into advancing research on medical and environmental challenges.

Source: https://deepmind.google/discover/blog/

Source: https://deepmind.google/discover/blog/

AlphaProteo, a research system, generates novel proteins that successfully bind to target molecules, with potential applications in advancing drug design, disease understanding, and more. This technology can create new proteins that directly manipulate interactions between molecules, which is not possible with existing protein structure prediction tools like AlphaFold.

Source: https://deepmind.google/discover/blog/