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What is Google Research?
Google Research focuses on advancing the state of the art in computer science and related fields through extensive research and systems engineering. Their teams engage in both fundamental and applied research, aiming to progress scientific understanding, advance societal well-being, and enhance Google's products and services impacting billions globally. Collaboration is central to their approach, involving partnerships across Google and with the broader academic community.
Their work spans a wide array of domains, including AI/ML foundations, responsible human-centric technology, science & societal impact, advanced computing paradigms, and algorithms & optimization. Google Research regularly publishes its findings and open-sources projects to foster collaboration and accelerate progress in the field, embodying a commitment to responsible innovation and addressing significant real-world challenges like sustainability, health, and information access.
Their work spans a wide array of domains, including AI/ML foundations, responsible human-centric technology, science & societal impact, advanced computing paradigms, and algorithms & optimization. Google Research regularly publishes its findings and open-sources projects to foster collaboration and accelerate progress in the field, embodying a commitment to responsible innovation and addressing significant real-world challenges like sustainability, health, and information access.
Features
- Extensive Research Areas: Covers Foundational ML & Algorithms, Computing Systems & Quantum AI, and Science, AI & Society.
- Published Research: Regularly publishes hundreds of papers across diverse domains.
- Open Source Projects: Shares projects and tools with the broader research community.
- Real-World Impact Projects: Focuses on applications like wildfire detection, ionosphere mapping, and generative AI in health.
- Academic Collaboration Programs: Offers student and faculty programs to engage with the academic community.
- Resource Sharing: Provides datasets, tools, and products to foster a collaborative ecosystem.
Use Cases
- Advancing fundamental knowledge in computer science and AI.
- Developing cutting-edge technologies for Google products.
- Solving societal challenges through AI (e.g., climate, health).
- Facilitating academic research and collaboration.
- Sharing research findings and tools with the global community.
- Exploring new computing paradigms like quantum AI.
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