We propose a generative framework, FaceLit, capable of generating a 3D face that can be rendered at various user-defined lighting conditions and views, learned purely from 2D images in-the-wild without any manual annotation. Unlike existing works that require careful capture setup or human labor, we rely on off-the-shelf pose and illumination estimators. With these estimates, …
Sparked by the release of large AI models like AlexaTM, GPT, OpenChatKit, BLOOM, GPT-J, GPT-NeoX, FLAN-T5, OPT, Stable Diffusion, and ControlNet, the popularity of generative AI has seen a recent boom. Businesses are beginning to evaluate new cutting-edge applications of the technology in text, image, audio, and video generation that have the potential to revolutionize …
Read more “Deploy large models at high performance using FasterTransformer on Amazon SageMaker”
The world of business demands the right decisions to succeed. For Al Rabie—a prominent juice manufacturing company in the Middle East—their reality was no different. However, their manual planning and budgeting process in spreadsheets posed several challenges, including lack of control, delayed data, poor execution, and the need for continuous follow-up with IT for actual …
Read more “Revolutionizing the consumer goods industry with integrated business planning”
Posted by Matthew Streeter, Software Engineer, Google Research Derivatives play a central role in optimization and machine learning. By locally approximating a training loss, derivatives guide an optimizer toward lower values of the loss. Automatic differentiation frameworks such as TensorFlow, PyTorch, and JAX are an essential part of modern machine learning, making it feasible to …
TL;DR ChatGPT has no sense of humor about vegan eggs How do I get a chicken to lay vegan eggs? ChatGPT: Unfortunately, it is not possible to get a chicken to lay vegan eggs as vegan eggs are made without the involvement of any animal or their by-products, including the chicken itself. Vegan eggs are …
*=Authors contributed equally Machine learning (ML) models can fail in unexpected ways in the real world, but not all model failures are equal. With finite time and resources, ML practitioners are forced to prioritize their model debugging and improvement efforts. Through interviews with 13 ML practitioners at Apple, we found that practitioners construct small targeted …
Read more “Angler: Helping Machine Translation Practitioners Prioritize Model Improvements”
The past three months have been transformative for the IBM Ecosystem. Our investment in the ecosystem is deeper than ever before, and momentum is accelerating across all partner types as they continue to scale and innovate. This demonstrates their commitment to clients, deep expertise and hunger to collaborate and co-create with us. Thanks to each …
Read more “5 takeaways from the early days of IBM Partner Plus”
Posted by Sergey Levine, Research Scientist, and Alexander Herzog, Staff Research Software Engineer, Google Research, Brain Team Reinforcement learning (RL) can enable robots to learn complex behaviors through trial-and-error interaction, getting better and better over time. Several of our prior works explored how RL can enable intricate robotic skills, such as robotic grasping, multi-task learning, …
Read more “Robotic deep RL at scale: Sorting waste and recyclables with a fleet of robots”
The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses. Just recently, generative AI applications like ChatGPT have captured widespread attention and imagination. We …
Read more “Announcing New Tools for Building with Generative AI on AWS”
Whether you are performing image recognition, language processing, regression analysis, or other machine learning demonstrations, the importance of rapid prototyping and deployment remains of utmost importance. These computations tend to have steps with various CPU and GPU requirements. Google Cloud introduced Batch, which is a fully managed service that handles infrastructure lifecycle management, queuing, and …
Read more “Rapidly deploy PyTorch applications on Batch using TorchX”