At 82 years old, with an aggressive form of blood cancer that six courses of chemotherapy had failed to eliminate, “Paul” appeared to be out of options. With each long and unpleasant round of treatment, his doctors had been working their way down a list of common cancer drugs, hoping to hit on something that…
Posted by Kendra Byrne, Senior Product Manager, and Jie Tan, Staff Research Scientist, Robotics at Google (This is Part 6 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Within our lifetimes, we will see robotic technologies that can help with everyday…
The finance sector is among the keenest adopters of machine learning (ML) and artificial intelligence (AI), the predictive powers of which have been demonstrated everywhere from back-office process automation to customer-facing applications. AI models excel in domains requiring pattern recognition based on well-labeled data, like fraud detection models trained on past behavior. ML can support…
Everybody knows about ChatGPT. And everybody knows about ChatGPT’s propensity to “make up” facts and details when it needs to, a phenomenon that’s come to be called “hallucination.” And everyone has seen arguments that this will bring about the end of civilization as we know it. I’m not going to argue with any of that. None…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Last week was the week chatbot-powered search engines were supposed to arrive. The big idea is that these AI bots would upend our experience of searching the web by generating chatty answers…
Powerful machine-learning models are being used to help people tackle tough problems such as identifying disease in medical images or detecting road obstacles for autonomous vehicles. But machine-learning models can make mistakes, so in high-stakes settings it’s critical that humans know when to trust a model’s predictions. Uncertainty quantification is one tool that improves a…
Posted by Vahab Mirrokni, VP and Google Fellow, Google Research (This is Part 5 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. Hence, developing…
Companies today are incorporating artificial intelligence into every corner of their business. The trend is expected to continue until machine-learning models are incorporated into most of the products and services we interact with every day. As those models become a bigger part of our lives, ensuring their integrity becomes more important. That’s the mission of…
Launched in November 2022, ChatGPT is a chatbot that can not only engage in human-like conversation, but also provide accurate answers to questions in a wide range of knowledge domains. The chatbot, created by the firm OpenAI, is based on a family of “large language models” — algorithms that can recognize, predict, and generate text…
Posted by Ted White and Ofer Naaman, Staff Research Scientists, Google Quantum AI The Google Quantum AI team is building quantum computers with superconducting microwave circuits, but much like a classical computer the superconducting processor at the heart of these computers is only part of the story. An entire technology stack of peripheral hardware is…