Posted by Sandeep Tata, Software Engineer, Google Research, Athena Team The last few years have seen rapid progress in systems that can automatically process complex business documents and turn them into structured objects. A system that can automatically extract data from documents, e.g., receipts, insurance quotes, and financial statements, has the potential to dramatically improve…
In late May, the Pentagon appeared to be on fire. A few miles away, White House aides and reporters scrambled to figure out whether a viral online image of the exploding building was in fact real. It wasn’t. It was AI-generated. Yet government officials, journalists, and tech companies were unable to take action before the…
Posted by Fuzhao Xue, Research Intern, and Mostafa Dehghani, Research Scientist, Google Adaptive computation refers to the ability of a machine learning system to adjust its behavior in response to changes in the environment. While conventional neural networks have a fixed function and computation capacity, i.e., they spend the same number of FLOPs for processing…
I’m sure that nobody will be surprised that the number of searches for ChatGPT on the O’Reilly learning platform skyrocketed after its release in November, 2022. It might be a surprise how quickly it got to the top of our charts: it peaked in May as the 6th most common search query. Then it dropped…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. AI language models have recently become the latest frontier in the US culture wars. Right-wing commentators have accused ChatGPT of having a “woke bias,” and conservative groups have started developing their own…
Should companies have social responsibilities? Or do they exist only to deliver profit to their shareholders? If you ask an AI you might get wildly different answers depending on which one you ask. While OpenAI’s older GPT-2 and GPT-3 Ada models would advance the former statement, GPT-3 Da Vinci, the company’s more capable model, would…
For a small percentage of cancer patients, doctors are unable to determine where their cancer originated. This makes it much more difficult to choose a treatment for those patients, because many cancer drugs are typically developed for specific cancer types. A new approach developed by researchers at MIT and Dana-Farber Cancer Institute may make it…
Posted by Greg Corrado, Head of Health AI, Google Research, and Yossi Matias, VP, Engineering and Research, Google Research Medicine is an inherently multimodal discipline. When providing care, clinicians routinely interpret data from a wide range of modalities including medical images, clinical notes, lab tests, electronic health records, genomics, and more. Over the last decade…
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Earlier this year, when I realized how ridiculously easy generative AI has made it to manipulate people’s images, I maxed out the privacy settings on my social media accounts and swapped…
The pharmaceutical industry operates under one of the highest failure rates of any business sector. The success rate for drug candidates entering capital Phase 1 trials—the earliest type of clinical testing, which can take 6 to 7 years—is anywhere between 9% and 12%, depending on the year, with costs to bring a drug from discovery…