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2023: A year of groundbreaking advances in AI and computing

VideoPoet: A large language model for zero-shot video generation

Simulations illuminate the path to post-event traffic flow

Advancements in machine learning for machine learning

StyleDrop: Text-to-image generation in any style

Google at NeurIPS 2023

Sparsity-preserving differentially private training

VALID: A perceptually validated virtual avatar library for inclusion and diversity

Google at EMNLP 2023

A new quantum algorithm for classical mechanics with an exponential speedup

Summary report optimization in the Privacy Sandbox Attribution Reporting API

Unsupervised speech-to-speech translation from monolingual data

Improving simulations of clouds and their effects on climate

Open sourcing Project Guideline: A platform for computer vision accessibility technology

Emerging practices for Society-Centered AI

Responsible AI at Google Research: Adversarial testing for generative AI safety

Scaling multimodal understanding to long videos

Enabling large-scale health studies for the research community

Responsible AI at Google Research: Context in AI Research (CAIR)

Overcoming leakage on error-corrected quantum processors

Alternating updates for efficient transformers

Best of both worlds: Achieving scalability and quality in text clustering

Zero-shot adaptive prompting of large language models

MetNet-3: A state-of-the-art neural weather model available in Google products

Audioplethysmography for cardiac monitoring with hearable devices

Supporting benchmarks for AI safety with MLCommons

Spoken question answering and speech continuation using a spectrogram-powered LLM

Looking back at wildfire research in 2023

Grammar checking at Google Search scale

Answering billions of reporting queries each day with low latency

English learners can now practice speaking on Search

Measurement-induced entanglement phase transitions in a quantum circuit

Improving traffic evacuations: A case study

Batch calibration: Rethinking calibration for in-context learning and prompt engineering

Developing industrial use cases for physical simulation on future error-corrected quantum computers

SANPO: A Scene understanding, Accessibility, Navigation, Pathfinding, & Obstacle avoidance dataset

Scalable spherical CNNs for scientific applications

Google at ICCV 2023

DynIBaR: Space-time view synthesis from videos of dynamic scenes

Re-weighted gradient descent via distributionally robust optimization

Google Research embarks on effort to map a mouse brain

Distilling step-by-step: Outperforming larger language models with less training data and smaller model sizes

MediaPipe FaceStylizer: On-device real-time few-shot face stylization

On-device content distillation with graph neural networks

World scale inverse reinforcement learning in Google Maps

Differentially private median and more

A novel computational fluid dynamics framework for turbulent flow research

TSMixer: An all-MLP architecture for time series forecasting

WeatherBench 2: A benchmark for the next generation of data-driven weather models

Modeling and improving text stability in live captions

SayTap: Language to quadrupedal locomotion