103 results
DEC. 23, 2024 / AI
The Multimodal Live API for Gemini 2.0 enables real-time multimodal interactions between humans and computers, and can be used to build real-time virtual assistants and adaptive educational tools.
JUNE 27, 2024 / Mobile
Here are some highlights from what we announced both on stage in Berlin and elsewhere in the world in celebration of this event!
MARCH 12, 2025 / Gemma
Gemma 3 is a new, advanced version of the Gemma open-model family featuring multimodality, longer context windows, and improved language capabilities, with various sizes and deployment options for developers to experiment.
MAY 14, 2024 / IDX
We’ve removed the waitlist for Project IDX. Now, anyone can sign up to start building with AI-assistance, collaboration capabilities, and more.
MAY 7, 2024 / Kaggle
Now you can publish your fine-tuned models directly from the Keras API to either Kaggle or Hugging Face
JUNE 24, 2025 / Gemini
Gemini 2.5 Pro and Flash are transforming robotics by enhancing coding, reasoning, and multimodal capabilities, including spatial understanding. These models are used for semantic scene understanding, code generation for robot control, and building interactive applications with the Live API, with a strong emphasis on safety improvements and community applications.
MARCH 13, 2025 / Gemini
The Google I/O 2025 puzzle used the Gemini API to generate dynamic riddles for bonus worlds, enhancing player engagement and scalability. Here's what our developers learned on using the Gemini API effectively, including creativity, design, and implementation strategies.
SEPT. 4, 2024 / AI Edge
TensorFlow Lite, now named LiteRT, is still the same high-performance runtime for on-device AI, but with an expanded vision to support models authored in PyTorch, JAX, and Keras.
JULY 26, 2023 / Cloud
Google Workspace offers tools for productivity and collaboration for the ways we work. It also offer...
APRIL 18, 2025 / Gemma
The release of int4 quantized versions of Gemma 3 models, optimized with Quantization Aware Training (QAT) brings significantly reduced memory requirements, allowing users to run powerful models like Gemma 3 27B on consumer-grade GPUs such as the NVIDIA RTX 3090.
