We solve big challenges in computer science, with a focus on machine learning, natural language understanding, machine perception, algorithms and data compression.
Our teams in Zürich have concentrations in theoretical and application aspects of computer science with a strong focus on machine learning—from algorithmic foundations and theoretical underpinnings of deep learning to natural language understanding and machine perception.
In "Big Transfer (BiT): General Visual Representation Learning" we devise an approach for effective pre-training of general features using image datasets at a scale beyond the de-facto standard (ILSVRC-2012).
Open Images is the largest annotated image dataset in many regards, for use in training the latest deep convolutional neural networks for computer vision tasks.
TensorFlow Hub is a platform to publish, discover, and reuse parts of machine learning modules in TensorFlow. An important part of this platform is its web experience, which allows developers to discover TensorFlow modules for their use cases.
Through tracking relative differences in pitch, our auditory system is able to recognize audio features, such as a song’s melody.
"The Visual Task Adaptation Benchmark" (VTAB, available on GitHub) is a diverse, realistic, and challenging representation benchmark based on one principle — a better representation is one that yields better performance on unseen tasks, with limited in-domain data.
We take a different approach that extends the BERT architecture to encode the question jointly along with tabular data structure, resulting in a model that can then point directly to the answer.
While technical difficulties have historically been a barrier for neuroscientists trying to study brain networks in detail, this is beginning to change. Last year, we announced the first nanometer-resolution automated reconstruction of an entire fruit fly brain, which focused on the individual shape of the cells.
Based on this biological insight, project Ihmehimmeli explores how artificial spiking neural networks can exploit temporal dynamics using various architectures and learning settings.
The Google Research Football Environment is a novel RL environment where agents aim to master the world’s most popular sport—football.
In 2018, we added support for handwriting recognition in more than 100 languages to Gboard for Android, Google's keyboard for mobile devices. This year, we launched new models for all latin-script based languages in Gboard.
The NIPS 2007 paper “The Trade-Offs of Large Scale Learning” by Léon Bottou (then at NEC Labs, now at Facebook AI Research) and Olivier Bousquet (Google AI, Zürich) received the Test Of Time Award!
Renata Khasanova tells us about her experience as a PhD Research intern with one of our research teams in the Zürich office, and her work focused on noise resynthesis.
Whether developing experiments, prototyping implementations, or designing new architectures, Research Scientists work on real-world problems in computer science. Our Research Scientists work across data mining, natural language processing, hardware and software performance analysis, improving compilation techniques for mobile platforms, core search, and much more.
Our research-focused software engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. From creating experiments and prototyping implementations to designing new architectures, research engineers work on machine learning, data mining, hardware and software performance analysis, improving compilers for mobile platforms and much more.
Our technical interns are key to innovation at Google and make significant contributions through applied projects and research publications. Internships take place throughout the year, and we encourage students from a range of disciplines, including CS, Electrical Engineering, Mathematics, and Physics to apply to work with us.
We’re proud to work with academic and research institutions to push the boundaries of AI and computer science. Learn more about our student and faculty programs, as well as our global outreach initiatives.
